Homology-guided identification of a conserved motif linking the antiviral functions of IFITM3 to its oligomeric state

Abstract
Introduction
Results
Discussion
Materials and methods
Data availability
References
Article and author information
Metrics

Abstract

The interferon-inducible transmembrane (IFITM) proteins belong to the Dispanin/CD225 family and inhibit diverse virus infections. IFITM3 reduces membrane fusion between cells and virions through a poorly characterized mechanism. Mutation of proline-rich transmembrane protein 2 (PRRT2), a regulator of neurotransmitter release, at glycine-305 was previously linked to paroxysmal neurological disorders in humans. Here, we show that glycine-305 and the homologous site in IFITM3, glycine-95, drive protein oligomerization from within a GxxxG motif. Mutation of glycine-95 (and to a lesser extent, glycine-91) disrupted IFITM3 oligomerization and reduced its antiviral activity against Influenza A virus. An oligomerization-defective variant was used to reveal that IFITM3 promotes membrane rigidity in a glycine-95-dependent and amphipathic helix-dependent manner. Furthermore, a compound which counteracts virus inhibition by IFITM3, Amphotericin B, prevented the IFITM3-mediated rigidification of membranes. Overall, these data suggest that IFITM3 oligomers inhibit virus-cell fusion by promoting membrane rigidity.

Introduction

The intrinsic protection of cells from virus infection represents an early and essential aspect of antiviral innate immunity. Cytokines, including interferons, signal the presence of invading viruses and induce an ‘antiviral state’ via the expression of hundreds of antiviral genes (Yan and Chen, 2012; Bieniasz, 2004). This arsenal of antiviral proteins converges on many steps of the virus life cycle in order to collectively inhibit infection of cells and prevent virus spread. In addition, certain ‘front-line’ antiviral proteins impose a constant barrier to infection because they are expressed constitutively and are further upregulated by interferons. The interferon-induced transmembrane (IFITM) proteins are the earliest acting restriction factors known, inhibiting the entry of diverse viruses into cells by restricting fusion pore formation during virus-cell membrane fusion (Shi et al., 2017; Chesarino et al., 2014a; Perreira et al., 2013; Bailey et al., 2014). Among the growing list of viruses shown to be inhibited by IFITM proteins in cell culture and in vivo are orthomyxoviruses, flaviviruses, filoviruses, alphaviruses, and coronaviruses (Shi et al., 2017). IFITM3 is a potent inhibitor of Influenza A virus (IAV) infection in cell culture and in vivo, and consequently, it is the most studied member of the IFITM family (Bailey et al., 2012; Everitt et al., 2012; Allen et al., 2017). While the precise mechanism by which IFITM3 reduces virus-cell fusion remains unresolved, evidence suggests that it does so by altering the properties of lipid membranes.

Two models have been proposed to explain how IFITM3 inhibits virus fusion. In the first, IFITM3 plays an indirect role by interacting with VAMP-associated protein A (VAPA) and inhibiting lipid transport between the endoplasmic reticulum and endosomes, resulting in an accumulation of endosomal cholesterol (Amini-Bavil-Olyaee et al., 2013). High cholesterol content may inhibit the fusion of virus-containing vesicles with the limiting membrane of the late endosome, restricting virus release into the host cell cytoplasm. While inhibition of cholesterol trafficking has been shown to inhibit virus entry (Poh et al., 2012), this model of IFITM3 function has been subsequently supported by one study (Kühnl et al., 2018) but challenged by several others (Appourchaux et al., 2019; Lin et al., 2013; Desai et al., 2014; Wrensch et al., 2014). The second and currently favored model posits that IFITM3 directly inhibits fusion by locally reducing membrane fluidity (i.e. increasing membrane rigidity or order) (Lin et al., 2013; Li et al., 2013) and by inducing positive membrane curvature (Li et al., 2013). Membrane order and curvature influence one another (Vanni et al., 2014; Rangamani et al., 2014; Golani et al., 2019) and, together, they regulate numerous membrane fusion processes (Martens and McMahon, 2008). Consistent with the notion that IFITM3 induces local membrane order and curvature to disfavor virus-cell fusion, IFITM3 contains a juxtamembrane amphipathic helix which is essential for antiviral activity (Chesarino et al., 2017). Amphipathic helices have been identified in many eukaryotic, prokaryotic, and viral proteins and are well known for their ability to bind and bend membranes (Drin and Antonny, 2010; Giménez-Andrés et al., 2018). Another piece of evidence that supports the membrane deformation model of fusion inhibition is that IFITM3 incorporated into enveloped viruses also impairs virion fusion with target cells (Tartour et al., 2014; Yu et al., 2015; Tartour et al., 2017; Ahi et al., 2020; Sharma et al., 2019; Compton et al., 2016; Suddala et al., 2019; Compton et al., 2014). Despite this progress, a complete mechanistic view of IFITM3 is lacking because studies describing the impact of IFITM3 on membranes have not included mutants lacking antiviral function.

It was previously reported that IFITM3 forms clusters on virus-containing vesicles (Kummer et al., 2019) and that IFITM3 oligomerization promotes restriction of IAV (John et al., 2013). However, the determinants initially purported to mediate oligomerization (phenylalanines at residues 75 and 78 of the CD225 domain [John et al., 2013]) were later shown to be unnecessary when oligomerization was measured using a FRET-based approach in living cells (Winkler et al., 2019). Therefore, the oligomerization of IFITM3 appears to be influenced by unknown determinants and its importance to antiviral function is not established.

In the current study, we set out to identify a loss-of-function mutation in IFITM3 suitable for mechanistic studies by using a homology-guided approach. The IFITM genes (IFITM1, IFITM2, IFITM3, IFITM5, and IFITM10 in humans) are members of an extended gene family known as the Dispanin/CD225 family (hereafter referred to as CD225 proteins) (Sällman Almén et al., 2012; Zhang et al., 2012). Members of this group are characterized by the presence of a CD225 domain, but the functions of most remain unknown. However, one member is the subject of numerous studies because it is linked to neurological disorders. Mutations in proline-rich transmembrane protein 2 (PRRT2) result in conditions of involuntary movement, such as paroxysmal kinesigenic dyskinesia, benign familial infantile seizures, and episodic ataxia (Gardiner et al., 2015; Valtorta et al., 2016). PRRT2 is a neuron-specific protein that is localized to pre-synaptic terminals and which inhibits synaptic vesicle fusion (Meschia, 2018; Mo et al., 2019; Liu et al., 2016). Molecular studies of disease-associated missense mutations in PRRT2 (G305W/R) indicate that it causes loss-of-function, leading to unchecked neurotransmitter release (Valente et al., 2016; Coleman et al., 2018; Gardiner et al., 2012; van Vliet et al., 2012; Liu et al., 2012). Interestingly, the homologous residue in human IFITM3 is also subject to rare allelic variation in humans (G95W/R) and this mutation results in partial loss of activity against IAV infection (John et al., 2013). However, the reason why this site is essential for the respective functions of PRRT2 and IFITM3 was unknown.

Here, we demonstrate that glycine-95 of human IFITM3 resides within a GxxxG motif that is highly conserved among vertebrate IFITM3 orthologs as well as PRRT2. Mutation of glycine-91 or glycine-95 rendered IFITM3 less active against IAV (in target cells) and HIV-1 (in virus-producing cells). We found that the GxxxG motif mediates IFITM3 oligomerization in living cells, with glycine-95 playing a dominant role. An IFITM3 mutant (G95L) exhibiting loss of antiviral function was deficient for oligomerization, indicating that IFITM3 oligomerization and virus restriction are functionally associated. We leveraged this loss-of-function mutant to identify mechanistic correlates of antiviral function which are associated with IFITM3 oligomerization. We found that IFITM3 increased membrane order, as previously suggested, whereas IFITM3 encoding G95L or mutations within its amphipathic helix failed to do so. In an effort to further probe the importance of membrane order in the antiviral mechanism, we demonstrate that Amphotericin B (Ampho B) decreases the stiffness of IFITM3-containing membranes and rescues virus infection. These data indicate that promotion of membrane order by IFITM3 oligomers is required for its antiviral activity. Furthermore, we reveal that oligomerization is a shared requirement for the distinct anti-fusion functions performed by homologs IFITM3 and PRRT2.

Results

Homology-guided identification of a putative oligomerization motif within CD225 domains

While it has been suggested that IFITM3 may adopt multiple topologies (Li et al., 2013; Yount et al., 2012), experimental evidence indicates that IFITM3 is a type II transmembrane protein characterized by the presence of a cytoplasmic-facing amino terminus, a CD225 domain consisting of a hydrophobic intramembrane (IM) domain, a cytoplasmic intracellular loop (CIL), and a hydrophobic transmembrane (TM) domain, and a very short carboxy terminus facing the vesicle lumen or extracellular space (Bailey et al., 2013; Ling et al., 2016). PRRT2 is thought to adopt a similar topology in membranes (Rossi et al., 2016). We used Protter, an interactive application that maps annotated and predicted protein sequence features onto the transmembrane topology of proteins (Omasits et al., 2014) to visualize IFITM3 and PRRT2. The two proteins exhibit a similar predicted topology consisting of dual hydrophobic domains and a CIL, but the amino terminus is considerably longer in PRRT2 (Figure 1A and B). Given the association of G305W with loss-of-function of PRRT2, we wondered whether mutation of the homologous residue in IFITM3 (glycine-95) would compromise its respective functions as well. Upon comparing topologies and the protein alignment, we noticed that these glycines form part of a GxxxG motif in the CIL of IFITM3 and PRRT2, and this motif is intact in several other IFITM and CD225 proteins (Figure 1C). The GxxxG motif, also known generally as a (small)xxx(small) motif, is frequently associated with dimerization of membrane proteins (Teese and Langosch, 2015; Overton et al., 2003). Most often shown to mediate pairing of hydrophobic transmembrane helices within a bilayer, the motif has also been described to drive oligomerization from cytoplasmic loops or linkers (Lu et al., 2014). The GxxxG motif is conserved in IFITM3 of vertebrates, indicating that it may play an important functional role (Figure 1D).

Figure 1 with 1 supplement see all

Download asset Open asset

Homology-guided identification of a putative oligomerization motif within CD225 domains.

(A) Schematic representation of the membrane topology of IFITM3 made with Protter. Residues corresponding to the amphipathic helix (yellow), palmitoylated cysteines (blue), phenylalanines purported to regulate oligomerization (red), and the glycines of the GxxxG motif (green) are indicated. (B) Schematic representation of the membrane topology of PRRT2 made with Protter. Residues corresponding to the glycines of the GxxxG motif (green) are indicated. (C) A partial amino acid alignment of CD225 domains from IFITM proteins, PRRT2, and TUSC5. Color codes are included as in (A and B). The position of the polymorphic glycine in PRRT2 associated with neurological disease (G305W) is underlined. (D) A partial amino acid alignment of IFITM3 orthologs in vertebrates. Conserved glycines in the GxxxG motif (green) are indicated.

⁹¹GxxxG⁹⁵ is important for restriction of virus entry by IFITM3

We generated FLAG-tagged IFITM3 mutants in which glycine-91 and glycine-95 were changed to leucine (G91L and G95L), following an example set by characterization of the GxxxG motif in the human folate transporter (Wilson et al., 2015). We also produced a G95W mutant because a rare single-nucleotide polymorphism in IFITM3 known as rs779445843 gives rise to missense mutations (G95W/R) in human populations (Cunningham et al., 2019; Sherry et al., 2001). Furthermore, G95W in IFITM3 is analogous to the disease-associated polymorphism in PRRT2 (G305W) which results in loss of function (Coleman et al., 2018).

To begin the functional characterization of IFITM3 harboring mutations within its GxxxG motif, we assessed steady-state protein levels following transient and stable transfection into HEK293T cells. Transiently expressed IFITM3 mutants reached similar levels as wild-type (WT) as determined by flow cytometry (Figure 1—figure supplement 1A–B). However, western blot analysis revealed a significant expression defect for the G91L mutant, but not for the others (Figure 1—figure supplement 1C–D). In stably transfected cells, all IFITM3 constructs resulted in protein expression levels that exceeded those observed following transient transfection, and the only mutant exhibiting significantly reduced levels was G95W (Figure 2A and B).

Figure 2 with 1 supplement see all

Download asset Open asset

⁹¹GxxxG⁹⁵ is important for restriction of virus entry by IFITM3.

(A) HEK293T cells stably transfected with empty pQCXIP, IFITM3 WT-FLAG, or the indicated mutants were fixed, stained with anti-FLAG antibody and assessed by flow cytometry. FLAG levels are displayed as histograms. (B) Mean fluorescence intensity measurements of FLAG staining in (A) are shown for three independent experiments. (C) HEK293T cells stably transfected with empty pQCXIP, IFITM3 WT-FLAG, or the indicated mutants were challenged with IAV PR8 strain (MOI of 0.1), fixed at 18 hr post-infection, stained with an anti-nucleoprotein antibody, and assessed by flow cytometry. (D) Mean infection results representing 5–8 independent experiments are normalized to empty vector (set to 100%). (E) HEK293T cells stably transfected with empty pQCXIP, IFITM3 WT-FLAG, or the indicated mutants were challenged with replication-incompetent HIV-1 incorporating BlaM-Vpr and pseudotyped with VSV glycoprotein. Virus-cell fusion was assessed at 2.5 hr post-virus addition using the beta lactamase assay and flow cytometry. Results represent the mean of three independent experiments and are normalized to empty vector (set to 100%). Error bars indicate standard error. Statistical analysis was performed using one-way ANOVA. *, p<0.05; **, p<0.001. MFI, mean fluorescence intensity. Rel., relative.

Next, we used confocal immunofluorescence microscopy to address how modification of the GxxxG motif of IFITM3 influences its subcellular localization. In cells stably or transiently expressing IFITM3 constructs, we assessed the extent to which IFITM3 colocalizes with EEA1-GFP, a marker for early endosomes, and CD63, a marker for late endosomes/multivesicular bodies (Figure 2—figure supplement 1A–B). As shown previously (Shi et al., 2017; Huang et al., 2011; Feeley et al., 2011), IFITM3 WT was detected in early endosomes, late endosomes, and at the plasma membrane. Specifically, approximately 30% of IFITM3 WT was associated with early endosomes and 30% was associated with late endosomes. The G91L, G95L, and G95W mutations did not obviously alter colocalization between IFITM3 and endosomes in either stably or transiently transfected cells (Figure 2—figure supplement 1A–B). We noticed that stable expression of all IFITM3 constructs resulted in greater colocalization with CD63+ late endosomes. We also noticed that the G91L mutation resulted in an increased colocalization between IFITM3 and both early endosomes and late endosomes under transient conditions, but this difference was not statistically significant. Therefore, it is unlikely that mutations in the GxxxG motif impact the subcellular localization of IFITM3.

HEK293T cell lines stably expressing FLAG-tagged IFITM3 WT and mutants were then challenged with IAV to assess antiviral function. IFITM3 WT strongly protected cells from infection, but G91L resulted in a partial loss of virus restriction while G95L and G95W resulted in a more substantial loss of restriction (Figure 2C and D). The extent of restriction did not correlate with relative levels of IFITM3 protein in stable cell lines (Figure 2B), demonstrating that differential antiviral activity is not due to differential protein expression. To confirm that IFITM3 targets the virus entry step, we challenged cells with HIV-1 pseudotyped with VSV glycoprotein (VSV-G) in an assay for virus-cell fusion (Figure 1—figure supplement 1E and Figure 2E). Inhibition of HIV-VSV-G by the IFITM3 constructs resembled inhibition of IAV, in that G95L and G95W resulted in a substantial loss of restriction. G91L, however, only slightly impacted virus restriction and its activity was not significantly different from WT. Therefore, a rational approach identified glycine-95 to be a major determinant for the broad inhibition of virus entry by IFITM3. Since the G95L and G95W mutations were functionally redundant, we did not pursue the characterization of G95W further.

⁹¹GxxxG⁹⁵ is important for restriction of HIV-1 virion infectivity by IFITM3

We and others have previously demonstrated that, in addition to preventing virus entry into naive target cells, IFITM3 performs another antiviral function in virus-producing (infected) cells by incorporating into virions, reducing viral glycoprotein abundance and function, and reducing the fusogenic potential of virions (Tartour et al., 2014; Yu et al., 2015; Tartour et al., 2017; Ahi et al., 2020; Sharma et al., 2019; Compton et al., 2014). Therefore, we tested the impact of mutations in the GxxxG motif on restriction of HIV-1 virion infectivity. IFITM3 WT reduced the infectivity of HIV-1, while G95L resulted in a partial loss of activity. Strikingly, G91L completely abrogated this antiviral function (Figure 3A and B).

Figure 3

Download asset Open asset

⁹¹GxxxG⁹⁵ is important for restriction of HIV-1 virion infectivity by IFITM3.

(A) HEK293T were co-transfected with HIV-1 molecular clone pNL4.3 and empty pQCXIP, IFITM3 WT-FLAG, or the indicated mutant. Virus-containing supernatants were harvested at 48 hr post-transfection and subjected to ultracentrifugation over sucrose pellets. Virion content was quantified by p24 CA ELISA and 50 ng p24 equivalent was added to TZM.bl cells for infectivity measurements. TZM.bl were fixed at 48 hr post-infection, stained with anti-CA antibody, and infection was assessed by flow cytometry. (B) Mean infection results of TZM.bl using virus derived from three independent transfections of HEK293T are shown and normalized to empty vector (set to 100%). (C) Whole cell lysates and (D) virus-containing supernatants were collected from HEK293T co-transfected with the HIV-1 molecular clone pNL4.3 and empty pQCXIP, IFITM3 WT-FLAG, or the indicated mutant at 48 hr post-transfection. Virus-containing supernatants were ultracentrifuged through sucrose cushions. Both lysates and concentrated, purified virus-containing supernatants (50 ng p24 equivalent) were subjected to SDS-PAGE and Western blot analysis. Immunoblotting was performed with anti-gp120, anti-gp41, anti-CA, anti-actin, and anti-FLAG. (E) Virion-associated levels of gp120 Env were quantified by measuring fluorescence of DyLight-conjugated secondary antibody and were normalized to levels of CA in three independent experiments. (F) Virion-associated levels of gp41 Env and (G) IFITM3-FLAG were quantified similarly. For anti-Env immunoblotting, the amount of gp120 or gp41 in virions was presented relative to empty vector (set to 100%). For anti-FLAG immunoblotting, the amount of IFITM3 WT in virions was set to 100%. Error bars indicate standard error. Statistical analysis was performed using one-way ANOVA. *, p<0.05; **, p<0.001. Rel., relative. Norm., normalized.

In order to identify correlates of antiviral function against HIV-1, we assessed viral Envelope (Env) levels expressed in virus-producing cells and levels incorporated into virions. The transient expression of IFITM3 WT in virus-producing cells was accompanied by a partial loss of Env gp120 and gp41 in those cells (Figure 3C) and in virions (Figure 3D) as previously reported (Yu et al., 2015; Ahi et al., 2020; Wang et al., 2017). This effect was measured in replicate experiments using quantitative immunoblotting (Figure 3E and F). In contrast, transient expression of the G91L or G95L mutants did not result in reduced Env levels (Figure 3C–F). Since the G91L and G95L mutations differentially impact the restriction of HIV-1 virion infectivity by IFITM3, it is therefore unlikely that Env quantity in virions fully accounts for this restriction. However, we observed that the G91L and G95L mutations strongly impaired the ability of IFITM3 itself to incorporate into virions (Figure 3G), and the extent of virion incorporation correlated with the measured impact on HIV-1 infectivity (Figure 3B). Together, our results demonstrate that the dual antiviral functions performed by IFITM3 (early-stage inhibition of virus entry and late-stage inhibition of virion infectivity) are critically regulated by the GxxxG motif. Interestingly, the former function depends primarily on glycine-95, while the latter function depends more on glycine-91.

⁹¹GxxxG⁹⁵ regulates oligomerization of IFITM3 in living cells

Based on their position within a conserved GxxxG motif, we used Förster resonance energy transfer (FRET) to assess the roles played by glycine-91 and glycine-95 in the oligomerization of IFITM3. We constructed IFITM3 fused with yellow fluorescent protein (YFP) or mCherry at the amino terminus to create FRET pairs and to perform fluorescence lifetime imaging microscopy (FLIM). The measurement of fluorescence lifetimes allows for measurements that are independent of fluorophore expression level or diffusion rate (Day, 2014). In this framework, excitation of YFP (donor) results in energy transfer to mCherry (acceptor) when a molecular interaction brings the pair into close proximity. Co-transfection of mCherry and IFITM3 WT-YFP served to establish background FRET values. By comparison, IFITM3 WT-YFP and IFITM3 WT-mCherry co-transfection resulted in high levels of detectable FRET (Figure 4A and B). Relative to WT, introduction of the G91L mutation partially inhibited FRET, while the G95L mutation had a much stronger effect, reducing FRET to near background levels (Figure 4A and B). These data suggest that both glycine-91 and glycine-95 contribute to IFITM3 oligomerization, but that glycine-95 is the major determinant. FRET was also measured for heterologous pairs (combining IFITM3 WT-YFP and G95L-mCherry, and vice versa) and the results were indicative of an intermediate degree of oligomerization (Figure 4B). To complement our FRET analysis, we also analyzed fluorescence lifetimes of the donor (YFP). Co-transfection of IFITM3 WT-YFP and IFITM3 WT-mCherry resulted in significant decreases in YFP lifetimes (averaging about 400 picoseconds), consistent with IFITM3 oligomerization (Figure 4A and C). Meanwhile, co-transfection of G91L-YFP and G91L-mCherry resulted in partial decreases in YFP lifetimes (averaging about 225 picoseconds), while we observed only minor decreases in YFP lifetimes (averaging about 70 picoseconds) when G95L-YFP and G95L-mCherry were examined. Within this experimental framework, we confirmed that the F75A/F78A mutations did not affect IFITM3 oligomerization, nor did mutations within the amphipathic helix (S61A/N64A/T65A) (Figure 4—figure supplement 1). Since our experiments revealed that glycine-95 is the major determinant for IFITM3 oligomerization, we focused on the G95L mutant for further mechanistic characterization.

Figure 4 with 2 supplements see all

Download asset Open asset

⁹¹GxxxG⁹⁵ regulates oligomerization of IFITM3 in living cells.

(A) HEK293T were transiently co-transfected with IFITM3-YFP and mCherry or IFITM3-YFP and IFITM3-mCherry. Constructs encoded IFITM3 WT, IFITM3 G91L, or IFITM3 G95L. FRET-FLIM measurements were made, and images of FRET signal and YFP lifetimes are representative of 12–20 captured images per condition. (B) Whole-cell FRET analysis was performed on a minimum of 50 cells per condition and the results of three independent experiments were pooled. Dots correspond to individual cells. (C) Whole-cell YFP lifetimes were measured on a minimum of 50 cells per condition and the results of three independent experiments were pooled. Dots correspond to individual cells. A mean delta (Δ) value is indicated to represent the drop in YFP lifetime resulting from the pairing of IFITM3-YFP and mCherry versus the pairing of IFITM3-YFP and IFITM3-mCherry. Empty red circles are used to depict mCherry, filled red circles are used to depict IFITM3-mCherry (either WT, G91L, or G95L), and filled yellow circles are used to depict IFITM3-YFP (either WT, G91L, or G95L). Error bars indicate standard deviation. Statistical analysis was performed using one-way ANOVA. *, p<0.05; **, p<0.001. Scale bars, 10 μm. Ps, picoseconds. Au, arbitrary units.

To ensure that conclusions drawn from this imaging approach are relevant to IFITM3-mediated antiviral function, we tested the ability for our fluorescently-tagged IFITM3 constructs to inhibit IAV. The antiviral potency of IFITM3 WT tagged with mCherry or YFP at the amino terminus was decreased by 20% compared to IFITM3 WT-FLAG (Figure 4—figure supplement 2A–B). Nonetheless, IFITM3 G95L tagged with mCherry or YFP exhibited no antiviral activity whatsoever, validating the utility of our fluorescently-tagged IFITM3 constructs for mechanistic studies. During the preparation of this manuscript, Suddala et al. reported the construction and use of an IFITM3 fusion protein encoding a fluorescent protein placed internally, rather than terminally, after residue 40 of IFITM3 (Suddala et al., 2019). Since this fusion protein was purported to exhibit minimal loss to antiviral function, we decided to produce additional fusion proteins following a similar strategy. We introduced mCherry or YFP into IFITM3 after residue 40 as described in Suddala et al. and assessed these constructs for antiviral activity and oligomerization potential. We found that the internal placement of mCherry or YFP resulted in a greater loss of antiviral activity compared to the amino terminal placement of mCherry or YFP. Specifically, the constructs encoding mCherry or YFP internally lost more than 40% of their activity compared to a 20% loss exhibited by constructs encoding mCherry or YFP at the amino terminus (Figure 4—figure supplement 2A–B). For thoroughness, we tested the IFITM3 WT constructs encoding internal mCherry and YFP for FRET competence and found that oligomerization was apparent (Figure 4—figure supplement 2C). Furthermore, introduction of the G95L mutation into these constructs resulted in decreased oligomerization (Figure 4—figure supplement 2C). Therefore, these data demonstrate that our FRET-based approach to studying IFITM3 oligomerization is amenable to the placement of fluorophores at the amino terminus or after residue 40 of IFITM3. However, placement of YFP or mCherry at the amino terminus allows for better preservation of antiviral function.

Glycine-95 regulates oligomerization of IFITM3 in denaturing and native conditions

In parallel to our studies of IFITM3 oligomerization in single, living cells, we assayed the ability of IFITM3 pairs tagged with FLAG or myc to co-immunoprecipitate from bulk cell lysates. HEK293T were co-transfected with IFITM3-FLAG and IFITM3-myc followed by FLAG immunoprecipitation, SDS-PAGE, and quantitative immunoblotting. We found that IFITM3 WT-myc readily pulled down with IFITM3 WT-FLAG, while pull down of G95L-myc with G95L-FLAG was diminished by approximately 50% (Figure 5A and B). To address heteromultimerization between IFITM3 WT and IFITM3 G95L, we paired IFITM3 WT-FLAG with G95L-myc and the results were indicative of an intermediate degree of oligomerization (Figure 5—figure supplement 1A–B). Therefore, membrane-extracted IFITM3 forms oligomers, but the G95L mutation reduces oligomerization. We then performed blue native PAGE and immunoblotting to assess the oligomeric state of IFITM3 under non-denaturing conditions. Two populations of IFITM3 oligomers, exhibiting sizes of approximately 300 and 480 kilodaltons, were readily observed for IFITM3 WT-FLAG and, to a lesser extent, IFITM3 G95L-FLAG. The largest (480 kilodaltons) was reduced by approximately 50% for IFITM3 G95L (Figure 5C and D). A complete scan of the blue native PAGE result in Figure 5C is shown in Figure 5—figure supplement 1C. We did not detect a population of IFITM3 dimers (expected at approximately 30 kilodaltons), which may reflect the specific conditions under which blue native PAGE was performed here. The fact that IFITM3 G95L exhibited a reduced potential for higher order oligomer formation using this technique is consistent with our experiments using living cells or denatured bulk lysates. Therefore, glycine-95 is necessary for efficient IFITM3 oligomer formation.

Figure 5 with 1 supplement see all

Download asset Open asset

Glycine-95 regulates oligomerization of IFITM3 in denaturing and non-denaturing conditions.

(A) HEK293T were transiently transfected with empty pQCXIP or the following pairs: IFITM3 WT-FLAG and IFITM3 WT-myc or G95L-FLAG and G95L-myc. Whole cell lysates were produced under mildly denaturing conditions and immunoprecipitation (IP) using anti-FLAG antibody was performed. IP fractions and volumes of whole cell lysates were subjected to SDS-PAGE and Western blot analysis. Immunoblotting was performed with anti-FLAG and anti-myc. Heavy chain IgG and Actin served as loading controls in the IP fraction and lysates fraction, respectively. Number and tick marks indicate size (kilodaltons) and position of protein standards in ladder. (B) Levels of IFITM3-myc (either WT or G95L) co-immunoprecipitated by anti-FLAG IP were quantified in (A) and represented as the mean of three independent experiments. Error bars indicate standard error. (C) HEK293T were transiently transfected with empty pQCXIP, IFITM3 WT-FLAG or G95L-FLAG. Cell lysates were produced with 1% digitonin and blue native PAGE was performed, followed by immunoblotting with anti-FLAG. Number and tick marks indicate size (kilodaltons) and position of protein standards in ladder. (D) Levels of IFITM3-FLAG (either WT or G95L) corresponding to ~480 kd and ~300 kD were quantified in (C) and represented as the mean of three independent experiments. Error bars indicate standard error. (D) Number and Brightness analysis was performed on monomeric mCherry and IFITM3-mCherry (either WT or G95L) as described in the Materials and methods. Statistical analysis was performed using student’s T test. *, p<0.05; **, p<0.001. Rel., relative.

To quantitatively resolve the specific oligomeric state of IFITM3, we performed a Number and Brightness analysis (Digman et al., 2008; Nolan et al., 2017). This approach is a fluorescence fluctuation microscopy method capable of measuring the apparent average number of molecules and their brightness in each pixel over time, with brightness being proportional to oligomeric state. We restricted our analysis to brightness of IFITM3-mCherry as it trafficked in and out of the plasma membrane over time. On average, IFITM3 WT-mCherry was found to be 2.14 times brighter than mCherry monomers (Shaner et al., 2004; Figure 5E). In contrast, G95L-mCherry brightness was not significantly different than mCherry monomers (averaging 1.30 times brighter). Furthermore, relative to mCherry monomers, both IFITM3 WT-mCherry and G95L-mCherry formed assemblies that were up to five times brighter, but IFITM3 WT-mCherry demonstrated a greater propensity to form these higher order oligomers (Figure 5E). One caveat of this Number and Brightness analysis is that, in contrast to transmembrane proteins, mCherry monomers do not target membranes and are expressed mostly in the cytoplasm (Teese and Langosch, 2015). However, the fact that IFITM3 WT exhibits a mean brightness that is roughly twofold greater than IFITM3 G95L supports the notion that the former exists primarily as a dimer and the latter as a monomer. Together, these data suggest that IFITM3 forms dimers and higher order oligomers in membranes in a glycine-95-dependent fashion.

Membrane order is increased by IFITM3 oligomers and is a correlate of antiviral function

While the precise mechanism by which IFITM3 inhibits virus-cell fusion remains unresolved, a salient phenotype of IFITM protein expression is increased membrane order (reduced membrane fluidity) (Lin et al., 2013; Li et al., 2013; John et al., 2013). Therefore, we leveraged our loss-of-function mutant, G95L, to directly test whether membrane order is functionally associated with inhibition of virus entry by IFITM3. Previous reports of membrane order enhancement by IFITM family members involved the use of a cell-permeable dye known as Laurdan (Zhang et al., 2006). Here, we assessed membrane order using Laurdan and a recently described sensor known as fluorescent lipid tension reporter (FliptR) (Colom et al., 2018; Goujon et al., 2019; Coomer et al., 2020). FliptR is a planarizable push-pull probe that incorporates efficiently into artificial and living cell membranes and whose fluorescence parameters change upon alterations in local lipid packing (order). Specifically, FliptR responds to increasing membrane order at the plasma membrane and at endomembranes by planarization, leading to longer fluorescence lifetimes detected by FLIM (Colom et al., 2018; Dal Molin et al., 2015). Using FliptR in HEK293T stably expressing IFITM3-FLAG, we found that IFITM3 WT expression led to significantly increased membrane order (Figure 6A). In fact, the IFITM3-induced enhancement of membrane order was similar to that achieved by addition of soluble cholesterol, while cholesterol depletion with methyl-beta-cyclodextrin resulted in profound decreases in membrane order (Figure 6—figure supplement 1A–B). In contrast to WT, cells expressing IFITM3 G95L did not exhibit increased membrane order (Figure 6A). Similar results were obtained using Laurdan, in that IFITM3 WT expression resulted in significantly increased membrane order while G95L did not (Figure 6—figure supplement 1C–D). These data indicate that membrane order enhancement tracks with a functionally competent form of IFITM3 but not with a loss-of-function mutant. To further probe the functional importance of membrane order in the antiviral mechanism of IFITM3, we performed experiments in the presence of Ampho B. This antimycotic polyene compound was previously reported to overcome the antiviral activity of IFITM3, rendering cells stably expressing IFITM3 fully permissive to IAV (Lin et al., 2013). However, it was unknown how Ampho B counteracts the effects of IFITM3. When we added Ampho B to cells expressing IFITM3 WT, we no longer observed increased membrane order (Figure 6A). Furthermore, in identically treated cells, Ampho B prevented restriction by IFITM3 of HIV pseudotyped with hemagglutinin (HA) from IAV (Figure 6B). These findings show, for the first time, that the capacity for Ampho B to overcome the antiviral activity of IFITM3 is linked to its ability to decrease membrane order. Therefore, the use of Ampho B as an interrogative tool reinforced the role played by membrane order in the antiviral mechanism of IFITM3.

Figure 6 with 1 supplement see all

Download asset Open asset

Membrane order is increased by IFITM3 oligomers in an Ampho B-sensitive manner.

(A) HEK293T cells stably transfected with empty pQCXIP, IFITM3 WT-FLAG, or G95L-FLAG were stained with 1 μM FliptR for 5 min and imaged by FLIM. In the condition indicated, 1 μM Amphotericin B was added to cells for 1 hr and washed away prior to addition of FliptR and imaging. The whole-cell mean fluorescence lifetime (τ), in addition to individual component lifetimes (long and short lifetimes, τ₁ and τ₂), was calculated using Symphotime for a minimum of 40 cells per condition and τ₁ from three independent experiments were pooled and plotted. Dots correspond to individual cells. Error bars indicate standard deviation. (B) HEK293T cells stably transfected with empty pQCXIP, IFITM3 WT-FLAG, or G95L-FLAG were challenged with HIV pseudotyped with hemagglutinin (HA) from IAV WSN strain at a MOI of 1. In the condition indicated, 1 μM Amphotericin B was added to cells for 1 hr prior to virus addition. Cells were fixed at 48 hr post-infection, and infection was scored by GFP expression using flow cytometry. Statistical analysis was performed using one-way ANOVA. *, p<0.05; **, p<0.001. Ps, picoseconds. Rel., relative.

Since we previously reported a critical role for the amphipathic helix of IFITM3 in virus restriction (Chesarino et al., 2017), we tested whether the helix was also required for the enhanced membrane order observed in cells expressing IFITM3. Like the G95L mutant, a version of IFITM3 encoding S61A/N64A/T65A mutations in the amphipathic helix lost the ability to increase membrane order (Figure 6—figure supplement 1E). Since the S61A/N64A/T65A mutations did not inhibit oligomerization (Figure 4—figure supplement 1), our results identify oligomerization and the amphipathic helix as dual requirements for the antiviral functions of IFITM3. Overall, these data strongly suggest that virus restriction by IFITM3 occurs through oligomerization-dependent membrane stiffening induced by the amphipathic helix.

Disease-associated G305W impairs oligomerization of PRRT2

Since the GxxxG motif is a shared feature of IFITM3 and PRRT2 and that a naturally occurring mutant G305W is predictive of neurological disease, we assessed the oligomerization capacity of WT and mutant PRRT2. As in Figure 4, we constructed PRRT2 fused with YFP or mCherry to create FRET pairs. We observed that co-transfection of PRRT2 WT-YFP and PRRT2 WT-mCherry resulted in significant FRET, demonstrating that PRRT2 oligomerizes in living cell membranes (Figure 7A). However, FRET was significantly reduced for pairs containing G305W (G305W-YFP and G305W-mCherry) (Figure 7A). Furthermore, pairs containing G305W did not exhibit loss in YFP lifetimes relative to their WT counterparts (Figure 7B). These data suggest that mutation of glycine-305 in PRRT2 results in loss of protein oligomerization. Therefore, the divergent functions played by homologues IFITM3 and PRRT2 in the regulation of fusion processes are controlled by a common determinant.

Figure 7

Download asset Open asset

Disease-associated G305W disrupts the oligomerization of PRRT2 in living cells.

(A) HEK293T were transiently co-transfected with PRRT2-YFP and mCherry or PRRT2-YFP and PRRT2-mCherry. Constructs encoded PRRT2 WT or PRRT2 G305W. Whole-cell FRET analysis was performed on a minimum of 50 cells per condition, and the results of three independent experiments were pooled. Dots correspond to individual cells. (B) Whole-cell YFP lifetimes were measured on a minimum of 50 cells per condition and the results of three independent experiments were pooled. Dots correspond to individual cells. A mean delta (Δ) value is indicated to represent the drop in YFP lifetime resulting from the pairing of PRRT2-YFP and mCherry versus the pairing of PRRT2-YFP and PRRT2-mCherry. Empty red circles are used to depict mCherry, filled red circles are used to depict PRRT2-mCherry (either WT or G305W), and filled yellow circles are used to depict PRRT2-YFP (either WT or G305W). Error bars indicate standard deviation. Statistical analysis was performed using one-way ANOVA. *, p<0.05; **, p<0.001. Au, arbitrary units. Ps, picoseconds.

Discussion

The physiological importance of IFITM3 in the control of many virus infections in vivo is becoming increasingly apparent (Zani and Yount, 2018; Kenney et al., 2017). While it has been proposed that membrane remodeling by IFITM3, at the level of membrane order and curvature, protects host cells from virus invasion, functional proof was lacking. However, two recent developments provided a glimpse of how (and when) IFITM3 inhibits virus-cell membrane fusion. First, the identification of an amphipathic helix located in the IM domain of IFITM3 provided a rational explanation for how membrane stiffening and/or bending may occur (Chesarino et al., 2017). Second, IFITM3 has been observed to intercept vesicles carrying inbound virions and to restrict their release into the cytoplasm, while viruses that are insensitive to IFITM3 evade its encounter (Suddala et al., 2019; Spence et al., 2019). Together with the previous demonstrations that the subcellular localization of IFITM3 determines its specificity and potency (Compton et al., 2016; Jia et al., 2012; Chesarino et al., 2014b), a ‘proximity-based’ mechanism presents itself in which IFITM3 interacts with and modifies host membranes needed by some viruses to fuse with cells. Importantly, this model accommodates the antiviral effect of IFITM3 inside viral lipid bilayers as well (Tartour et al., 2014; Yu et al., 2015; Ahi et al., 2020; Suddala et al., 2019; Compton et al., 2014).

Here, we provide evidence that an additional determinant (protein oligomerization) plays a crucial role within this mechanistic framework. Previously, an alanine scanning approach led to the identification of two residues (phenylalanine-75 and phenylalanine-78) that were important for IFITM3 oligomerization in cell lysates (John et al., 2013). This study did not functionally test a role for glycine-91 or glycine-95 in the oligomerization of IFITM3 because alanine mutagenesis overlapping these residues apparently led to loss of stable protein expression (Appourchaux et al., 2019; John et al., 2013). While it has been confirmed that F75A and F78A mutations disrupt antiviral activity (Suddala et al., 2019; Zhao et al., 2018), IFITM3 oligomerization was not impacted by these mutations when assessed by FRET in living cells (Winkler et al., 2019) and we confirm here that F75A and F78A mutations do not interfere with the measurement of IFITM3 oligomerization by FRET. Instead, we find that G91L partially abrogates oligomerization while G95L almost completely disrupts oligomerization. Moreover, our data shows that G95L strongly reduces the antiviral potential of IFITM3 as well as its capacity to increase membrane order (reduce membrane fluidity). Furthermore, we show that a compound previously found to abrogate the antiviral function of IFITM3, Ampho B (Lin et al., 2013; Suddala et al., 2019), decreases membrane order in IFITM3-expressing cells. Even though the exact mechanism by which Ampho B impacts mammalian membranes is unclear (Lin et al., 2013; Kamiński, 2014), these results identify that the membrane stiffening property of IFITM3 is a strict correlate of its antiviral functions in cells and, perhaps, in virions.

We found that glycine-91 and glycine-95 of the GxxxG motif were also important for restriction of HIV-1 virion infectivity by IFITM3. However, the G91L mutation had a stronger impact than G95L on this antiviral activity in virus-producing cells, suggesting that IFITM3 oligomerization is not as crucial for the restriction of HIV-1 infectivity as it is for the restriction of incoming virus in target cells. De novo HIV-1 assembly occurs at the plasma membrane of virus-producing cells, and this is the site where cellular IFITM3 is incorporated into virions (Compton et al., 2016). Importantly, we noticed that the majority of the FRET signal occurring between IFITM3-YFP and IFITM3-mCherry was detected in intracellular endosomes and other membrane vesicles, while FRET at the cell surface was relatively low. Therefore, IFITM3 oligomers may be more abundant in endosomal membranes and this agrees with our finding that viruses entering cells via fusion with endosomes (such as IAV) are strongly restricted by IFITM3 oligomers. Since the results presented in this manuscript strongly suggest that IFITM3-mediated antiviral activity occurs through oligomerization-dependent membrane stiffening, assessment of how virion-associated IFITM3 impacts the order of the virion membrane will be helpful in determining whether a distinct antiviral mechanism is at play there.

It will also be important to assess how oligomerization-defective mutants of IFITM3 (G95L) impact membrane curvature, another reported consequence of ectopic IFITM3 expression in cells (Li et al., 2013). It has been shown that protein oligomerization of the transmembrane protein Mic10 is essential for its capacity to induce curvature in mitochondrial membranes (Barbot et al., 2015). Furthermore, changes in membrane order are often accompanied by changes in membrane curvature (Vanni et al., 2014; Rangamani et al., 2014; Golani et al., 2019). It is possible that these two alterations to host membranes underlie the restriction of virus fusion by IFITM3. Moreover, amphipathic helices are characterized to interact with and bend membranes (Giménez-Andrés et al., 2018). Here, we show for the first time that the amphipathic helix of IFITM3 is critical for the membrane order enhancement by IFITM3. Since we also show that glycine-95 of the GxxxG motif is also required for membrane order enhancement, our data may suggest that oligomerization ‘activates’ the membrane deforming activity of the amphipathic helix, and as a result, its antiviral potential. It is possible that local insertion of multiple amphipathic helices into stretches of membrane is required for inhibition of virus fusion, and IFITM3 oligomers provide a means to fulfill that requirement.

In addition to mediating dimerization or oligomerization of transmembrane proteins (homomultimerization), GxxxG motifs have also been described to affect the propensity for interaction with other proteins (heteromultimerization) (Teese and Langosch, 2015; Faingold et al., 2012). Therefore, the GxxxG motif may also govern which proteins IFITM3 interacts with and to what extent. IFITM3 has been described to bind with IFITM1 and IFITM2, and it is interesting to consider how IFITM heteromultimers may contribute to antiviral protection of the cell (John et al., 2013). Furthermore, other host proteins have been described to interact, directly or indirectly, with IFITM3. This list includes cholesterol trafficking regulator VAPA and the metalloproteinase ZMPSTE24, two proteins that have been described as essential cofactors for the antiviral effects of IFITM3 (Amini-Bavil-Olyaee et al., 2013; Fu et al., 2017). Since the former is associated with the tendency for IFITM3 to cause cholesterol overload in endosomes, the G95L loss-of-function mutant could be used to rule in or rule out VAPA and cholesterol as players in the antiviral mechanism of IFITM3.

While glycine-95 is critical for the oligomerization and anti-fusion activity of IFITM3, we show that the homologous site in PRRT2, glycine-305, regulates its oligomerization as well. The naturally occurring G305W/R mutations found in patients with neurological dysfunction are known to disrupt PRRT2 activity, and our results here provide novel insight into how loss-of-function occurs. Therefore, the presence of a shared GxxxG motif in IFITM3, PRRT2, and some other CD225 family members suggests that an ancestral CD225-containing protein performed an unknown function that required oligomerization. Interestingly, the GxxxG motif is not intact in human IFITM5 and IFITM10. IFITM5 is involved in bone formation and exhibits some antiviral activity when expressed ectopically (Huang et al., 2011), while the function of IFITM10 is unknown (Smith et al., 2014). We wonder whether all CD225 proteins play roles in regulating membrane fusion processes in cells—only time and further experiments will tell. However, just as the GxxxG motif in IFITM3 may mediate both homo- and heteromultimerization, it has been reported that PRRT2 interacts with cellular fusogens known as soluble N-ethylmaleimide-sensitive factor attachment protein receptors (SNAREs) in a glycine-305-dependent manner (Coleman et al., 2018). Our findings raise the possibility that oligomerization of CD225 proteins results in alteration of protein architecture and the display of novel docking sites for protein-protein interactions, allowing for expansion of their functional repertoire.

Materials and methods

Key resources table

Reagent type (species) or resource	Designation	Source or reference	Identifiers	Additional information
Cell line (Homo-sapiens)	HEK293T	ATCC	CRL-3216 RRID:CVCL_0063
Cell line (Homo-sapiens)	TZM-bl	NIH AIDS Reagent Resource	8129–442 RRID:CVCL_B478
Strain, strain background (Influenza A Virus)	A/PR/8/34 (H1N1)	Charles River Laboratories	10100781	Clarified allantoic fluid
Recombinant DNA reagent	pNL4-3 (plasmid)	NIH AIDS Reagent Resource	114
Recombinant DNA reagent	pNL4-3ΔEnv (plasmid)	Eric O. Freed
Recombinant DNA reagent	pMD2.G (VSV-G) (plasmid)	Addgene	12259 RRID:Addgene_12259
Recombinant DNA reagent	pCMV4-BlaM-Vpr (plasmid)	Addgene	21950 RRID:Addgene_21950
Recombinant DNA reagent	pReceiver-YFP-IFITM3 and mutants (plasmid)	This paper		YFP fused to IFITM3 at amino terminus
Recombinant DNA reagent	pReceiver-mCherry-IFITM3 and mutants (plasmid)	This paper		mCherry fused to IFITM3 at amino terminus
Recombinant DNA reagent	pReceiver-PRRT2-YFP and mutants (plasmid)	This paper		YFP fused to PRRT2 at carboxy terminus
Recombinant DNA reagent	pReceiver-PRRT2-mCherry and mutants (plasmid)	This paper		mCherry fused to PRRT2 at carboxy terminus
Recombinant DNA reagent	pQCXIP-FLAG-IFITM3 and mutants (plasmid)	Compton et al., 2014 and this paper		FLAG fused to IFITM3 at amino terminus
Recombinant DNA reagent	EEA1-GFP (plasmid)	Addgene	42307 RRID:Addgene_42307
Commercial assay or kit	LiveBLazer FRET-B/G Loading Kit with CCF2-AM	Thermo Fisher	K1032
Chemicalcompound, drug	Amphotericin B	Sigma	C4951
Chemical compound, drug	FliptR	Spirochrome	CY-SC020
Chemical compound, drug	Laurdan	Invitrogen	D250
Chemical compound, drug	Cholesterol, water-soluble	Sigma	A2942
Chemical compound, drug	Methyl-beta-cyclo-dextrin	Sigma	C4555
Antibody	Anti-IAV NP mouse monoclonal	Abcam	AA5H	1:500 (flow)
Antibody	Anti-p24 CA mouse monoclonal	NIH AIDS Reagent Resource	3537	1:1000 (WB)
Antibody	Anti-p24 CA [KC57-FITC] mouse monoclonal	BD	CO6604665	1:500 (flow)
Antibody	Anti-CD63 [MX-49.129.5] mouse monoclonal	Santa Cruz Biotechnology	sc-5275	1:400 (IF)
Antibody	Anti-FLAG [M2] mouse monoclonal	Sigma	F1804	1:1000 (WB) 1:500 (flow)
Antibody	Anti-IFITM3 [EPR5242] rabbit monoclonal	Abcam	ab109429	1:1000 (WB) 1:200 (IF)
Antibody	Anti-Env gp120b sheep polyclonal	NIH AIDS Reagent Resource	288	1:1000 (WB)
Antibody	Anti-Env gp41 [2F5] human monoclonal	NIH AIDS Reagent Resource	1475	1:1000 (WB)
Antibody	Anti-Actin [C4] mouse monoclonal	Santa Cruz Biotechnology	sc-47778	1:1000 (WB)
Antibody	Anti-c-Myc rabbit monoclonal	Sigma	C3956	1:1000 (WB)

Sequence retrieval and alignments

Request a detailed protocol

Protein sequences for CD225 proteins (including IFITM proteins, PRRT2, and TUSC5) were retrieved from UniProt and multi-sequence alignments were performed with ClustalX.

Cell lines and plasmids

Request a detailed protocol

HEK293T (ATCC: CRL-3216) and TZM-bl (NIH AIDS Reagent Resource: 8129) and any derivatives produced in this study were cultivated at 37°C and 5% CO₂ in DMEM (Gibco) complemented with 10% fetal bovine serum (Hyclone) and 1% penicillin-streptomycin (Gibco) and regularly passaged with the aid of Trypsin-EDTA 0.05% (Gibco). All cell lines tested negative for mycoplasma. Retroviral pQCXIP vectors encoding IFITM3 fused with amino-terminal FLAG were previously described (Compton et al., 2016; Jia et al., 2012). Retroviral pQCXIP vectors encoding IFITM3 fused with amino-terminal myc were produced by appending myc by PCR and cloning into BamH1/EcoR1 sites. pReceiver constructs encoding IFITM3 tagged with YFP or mCherry at the amino terminus were produced by Genecopeia. IFITM3 tagged with YFP or mCherry internally after residue 40 were produced by Integrated DNA Technologies (in these constructs, YFP or mCherry flanked on both sides by a flexible linker (GGGSGG) was inserted after residue 40 and residues 41 and 42 of IFITM3 were deleted, as performed in Suddala et al., 2019). PRRT2 tagged with carboxy-terminal YFP or mCherry were produced by Integrated DNA Technologies. Mutations in IFITM3 and the G305W mutation in PRRT2 were introduced by site-directed mutagenesis (QuikChange Lightning) or by ligation-independent cloning. HEK293T cell lines stably expressing pQCXIP plasmids were produced by transfecting 250,000 cells in a 12-well plate with 0.8 μg DNA using Lipofectamine2000 (Invitrogen) and selecting with puromycin at a concentration of 10 μg/mL for at least 2 weeks.

Virus productions, infections, and virus-cell fusion assay

Request a detailed protocol

Influenza A Virus [A/PR/8/34 (PR8), H1N1] supplied as clarified allantoic fluid was purchased from Charles River Laboratories. Infectious virus titers were calculated using a flow cytometry-based method in HEK293T cells (Grigorov et al., 2011), and infections were performed as follows: HEK293T cells (either stably expressing or transiently transfected with 1.5 μg empty pQCXIP or IFITM3 WT or the indicated mutant fused with amino terminal FLAG) were seeded in 24-well plates (50,000 per well) overnight and overlaid with indicated amounts of virus diluted in 225 μL of complete DMEM for approximately 18 hr. Cells were washed with 1X PBS, detached with Trypsin-EDTA, fixed/permeabilized with Cytofix/Cytoperm (BD), immunostained with anti-IAV NP (AA5H; Abcam), and analyzed on a LSRFortessa flow cytometer (BD). Replication-incompetent HIV-1 pseudotyped with IAV WSN HA and NA was produced by transfecting HEK293T with 2 μg pR8ΔEnv, 1 μg pcRev (NIH AIDS Reagent Resource: 11415), 3 μg Gag-GFP, 1.5 μg of hemagglutinin, and 1.5 μg of neuraminidase from IAV WSN strain, H1N1 (gifts from G. Melikyan). Replication-incompetent HIV-1 pseudotyped with VSV-G for virus-cell fusion assays was produced by transfecting HEK293T with 15 μg pNL4-3ΔEnv, 5 μg pCMV4-BlaM-Vpr, and 5 μg pMD2.G (VSV-G). Replication-competent HIV-1 was produced by transfecting HEK293T with 15 μg pNL4-3 and 5 μg empty pQCXIP or pQCXIP encoding IFITM3 WT or the indicated mutant fused with amino-terminal FLAG. Transfections were performed using the calcium-phosphate method. Briefly, 6 million HEK293T were seeded in a T75 flask. Plasmid DNA was mixed with sterile H₂O, CaCl₂, and Tris-EDTA (TE) buffer, and the totality was combined with Hepes-buffered saline (HBS). The transfection volume was added dropwise, and cells were incubated at 37°C for 48 hr. Supernatants were clarified by centrifugation, passed through a 0.45 μm filter, and concentrated by ultracentrifugation through a 20% sucrose cushion at 25,000 x g for 1 hr at 4°C. Lentivirus titers were measured using an HIV-1 p24 ELISA kit (XpressBio). To measure infectivity of virus supernatants, 50 ng p24 equivalent volumes were added to TZM-bl cells and cells were fixed/permeabilized with Cytofix/Cytoperm (BD) at 48 hr post-infection, immunostained with anti-Gag KC57-FITC (BD), and analyzed by flow cytometry. To measure virus-cell fusion, 100–300 ng p24 equivalent HIV-1-VSV-G produced with pCMV4-BlaM-Vpr was added to HEK293T cells stably expressing empty pQCXIP, IFITM3 WT or the indicated mutant for 2.5 hr at 37°C. Cells were washed with CO₂-independent medium and incubated with CCF2/AM mix containing probenecid for one hour at room temperature in the dark. Cells were washed with cold 1X PBS, fixed/permeabilized with Cytofix/Cytoperm (BD), and analyzed on a LSRII flow cytometer.

Confocal immunofluorescence microscopy

Request a detailed protocol

HEK293T cells were seeded in μ-slide eight-well chambers (Ibidi) (30,000 per well) overnight and transfected with 0.2 μg EEA1-GFP (Addgene: 42307) and 0.2 μg empty pQCXIP or pQCXIP-WT IFITM3 or the indicated mutant fused with amino-terminal FLAG using Lipofectamine2000 (Invitrogen). At 48 hr post-transfection, cells were fixed/permeabilized with Cytofix/Cytoperm and immunostained with anti-CD63 antibody (MX-49, sc-5275; Santa Cruz Biotechnology) and anti-IFITM3 antibody (EPR5242, ab109429; Abcam). Cells were imaged using the Leica TCS SP8 confocal microscope with a 63X objective and oil immersion and analysis was performed in Fiji (ImageJ). Colocalization analysis was performed with the Colocalization tool in Imaris (Bitplane) as follows: a region of interest was manually created to single out cells which were positive for EEA1-GFP and colocalization between IFITM3/EEA1-GFP and IFITM3/CD63 was measured in 3D using confocal stacks of 20–30 optical sections.

Immunoprecipitation, SDS-PAGE, and western blot analysis

Request a detailed protocol

HEK293T cells were transfected with 1.5 μg empty pQCXIP or a combination of 0.75 μg pQCXIP-FLAG-IFITM3 and 0.75 μg pQCXIP-myc-IFITM3 (encoding either WT or G95L). At 48 hr post-transfection, cells were lysed in a buffer containing 0.5% IPEGAL (Sigma), 50 mM Tris (pH 7.4), 150 mM NaCl, and 1 mM EDTA. Immunoprecipitation was performed using anti-FLAG M2 magnetic beads (Sigma) for a period of 3 hr with rotation at 4°C. Magnetic beads were isolated with a DynaMag-2 magnet (Thermo Fisher) and washed prior to addition of 1X NuPAGE LDS sample buffer and 1X NuPAGE Sample Reducing Reagent (Invitrogen). The non-immunoprecipitated whole cell lysates and immunoprecipitated fractions were heat denatured at 90°C for 15 min and 12 μL and 5 μL, respectively, were loaded into Criterion XT 12% Bis-Tris polyacrylamide gels (Bio-Rad) for SDS-PAGE using NuPAGE MES SDS Running Buffer (Invitrogen). Proteins were transferred Amersham Protran Premium Nitrocellulose Membrane, pore size 0.20 μm (GE Healthcare). Membranes were blocked with Odyssey blocking buffer in PBS (Li-COR) and incubated with anti-FLAG M2 (F1804; Sigma) and anti-c-Myc (C3956; Sigma). Secondary antibodies conjugated to DyLight 800 or 680 (Li-COR) and the Li-COR Odyssey imaging system were used to reveal specific protein detection. Images were analyzed and assembled using ImageStudioLite (Li-COR). To compare the steady-state expression levels of WT IFITM3 and mutants, HEK293T cells were transfected with 1.5 μg of empty pQCXIP or pQCXIP-FLAG-IFITM3 (encoding WT or the indicated mutants) and expression was measured using anti-FLAG M2 and analysis by flow cytometry or western blot analysis. For the former, cells were fixed/permeabilized with Cytofix/Cytoperm (BD) at 48 hr post-transfection, immunostained with anti-FLAG M2 (F1804; Sigma) and analyzed on a LSRFortessa (BD). For the latter, cells were lysed and separated by SDS-PAGE as indicated above and immunoblotting was performed with anti-FLAG M2 (F1804; Sigma) and anti-actin (C4, sc-47778; Santa Cruz Biotechnology). For blotting of HIV-1 proteins in cell lysates and concentrated virus supernatants, cell/virion lysis was performed with radioimmunoprecipitation (RIPA) buffer (Thermo Fisher) supplemented with Halt Protease Inhibitor mixture EDTA-free (Thermo Fisher) or 0.01% Triton-X (Sigma), respectively, and lysates were complemented with 1X NuPAGE LDS sample buffer and 1X NuPAGE Sample Reducing Reagent (Invitrogen) prior to heat denaturation at 90°C for 15 min. Samples were migrated and transferred as indicated above and immunoblotting was performed with the following antibodies: anti-p24 CA (NIH AIDS Reagent Resource: 3537), anti-gp120b (NIH AIDS Reagent Resource: 288), anti-gp41 2F5 (NIH AIDS Reagent Resource: 1475), anti-actin (C4, sc-47778; Santa Cruz Biotechnology), and anti-FLAG M2 (F1804; Sigma).

Blue native PAGE

Request a detailed protocol

HEK293T cells were seeded in 6-well plates (750,000 per well) overnight and transfected with 1 μg empty pQCXIP or pQCXIP-FLAG-IFITM3 (either WT or G95L). At 48 hr post-transfection, cells were lysed with 1X NativePAGE Sample Buffer (Invitrogen) containing 1% digitonin. Lysates were mixed with 5% Coomassie G-250 at a volume to volume ratio of 20:1. Approximately 20 μg of protein per sample was loaded into a NativePAGE Novex 4–16% Bis-Tris polyacrylamide gel (Invitrogen) according to manufacturer’s instructions. A NativeMark Unstained Protein Standard was loaded as reference ladder. Following PAGE, proteins were transferred to Immobile FL PVDF membrane (EMD Millipore) and immunoblotting was performed with anti-FLAG M2 (F1804; Sigma). A secondary antibody conjugated to DyLight 800 or 680 (Li-COR) and the Li-COR Odyssey imaging system were used to reveal specific protein detection. Images were analyzed and assembled using ImageStudioLite (Li-COR).

FRET and FLIM for oligomerization studies

Request a detailed protocol

HEK293T cells were seeded in μ-slide eight well chambers (Ibidi) (50,000 per well) overnight and transiently co-transfected with 0.25 μg IFITM3-YFP and 0.25 μg mCherry or 0.25 μg IFITM3-YFP and 0.25 μg IFITM3-mCherry using TransIT-293 (Mirus). In parallel experiments, pairs of plasmids encoding PRRT2-YFP and PRRT2-mCherry were co-transfected. Living cells in Fluorobrite DMEM (Gibco) were imaged with a Zeiss LSM 780 confocal microscope using a 63X objective and oil immersion. To assess FRET, donor YFP fluorescence was detected with a gallium arsenide phosphide photomultiplier tube (GaAsP PMT) with a 520–550 nm emission window following excitation by a 514 nm laser. Acceptor mCherry fluorescence was detected with a GaAsP PMT detector with a 570–615 nm emission window following excitation by a 561 nm laser. FRET signal (acceptor mCherry fluorescence triggered by excitation of donor YFP) was collected with a GaAsP PMT detector with 570–615 nm emission window after excitation with a 514 nm laser. At least 50 cells per condition were examined in each experiment. Each cell was assigned a FRET index calculated using the FRET and colocalization analyzer plugin for Fiji (ImageJ). FLIM analysis of donor YFP was performed by excitation with a 950 nm two-photon, pulsed laser (Coherent) tuned at 80 MHz with single photon counting electronics (Becker Hickl) and detection with a HPM-100–40 module GaAsP hybrid PMT (Becker Hickl). Analysis was limited to cells exhibiting 250–1000 photons per pixel to mitigate the effects of photobleaching and low signal to noise ratio. SPCImage NG software (Becker Hickl) was used to acquire the fluorescence decay of each pixel, which was deconvoluted with the instrument response function and fitted to a Marquandt nonlinear least-square algorithm with two exponential models. The mean fluorescence lifetime was calculated as previously described (Sun et al., 2011) using SPCImage NG. At least 30 cells per condition were analyzed in each experiment.

Number and brightness analysis

Request a detailed protocol

HEK293T cells were seeded in μ-slide eight-well chambers (Ibidi) (50,000 per well) overnight and transiently with 0.50 μg IFITM3-mCherry using TransIT-293 (Mirus). Living cells in Fluorobrite DMEM (Gibco) were imaged with a Zeiss LSM 780 confocal microscope using a 63X objective and oil immersion. Regions of interest were limited to portions of cells which were immobile and which focused on plasma membrane fluorescence (intracellular signal from vesicular membranes was excluded). The axial position of a specimen during acquisition was stabilized using the Adaptive Focus Control module. mCherry was excited with a 561 nm laser and detected with a 570–615 emission window. For each cell, 100 frames were acquired at a frame rate of 0.385 frames per second with a 9.75 μs pixel dwell time and pixel size of 151.38 nm. Images were always acquired at 256 × 256 pixels such that the pixel size remained three to four times smaller than the volume of the point-spread function. Photobleaching of fluorescent proteins during data acquisition was corrected using a detrending algorithm (Nolan et al., 2017). Twenty cellular regions were examined per condition. Pixel-by-pixel brightness values were calculated in Fiji (ImageJ).

FLIM for study of membrane order with FliptR

Request a detailed protocol

HEK293T stably expressing empty pQCXIP or pQCXIP-WT IFITM3 or the indicated mutant were seeded in μ-slide eight-well chambers (Ibidi) (50,000 per well) overnight and stained with 1 μM FliptR (Spirochrome) for 5 min according to the manufacturer’s protocol. Imaging was performed with a 63X objective under oil immersion on a Leica SP8-X-SMD confocal microscope. When indicated, cells were treated with 100 μg/mL soluble cholesterol (C4951, Sigma), 5 mM methyl-cyclo-beta-dextrin (MßCD) (C4555, Sigma), or 1 μM Amphotericin B (A2942, Sigma) for 1 hr prior to addition of FliptR and imaging. Fluorescence was detected by hybrid external detectors in photon counting mode following excitation by a 488 nm pulsed laser turned to 20 MHz with single photon counting electronics (PicoHarp 300). Analysis was limited to cells with at least 250–1000 photons per pixel to mitigate the effects of photobleaching and low signal-to-noise ratio. Fluorescence decay of each pixel in FliptR-stained cells was acquired by Symphotime 64 software (Picoquant), and deconvoluted with the instrument response function and fitted to a Marquandt nonlinear least-square algorithm with two exponential models. The mean fluorescence lifetime (τ), in addition to individual component lifetimes (long and short lifetimes, τ₁ and τ₂), were calculated using Symphotime. At least 30 cells per condition were analyzed in each experiment.

Laurdan staining for study of membrane order

Request a detailed protocol

The membrane probe Laurdan (6-dodecanoyl-2-dimethylamino naphthalene, D250, Invitrogen) was dissolved in DMSO to create a stock solution of 9.19 mM. HEK293T cells were incubated with 1.8 µM Laurdan for 1 hr at 37°C. Generalized polarization (GP) is a ratiometric method which is used to quantitatively report membrane order in living cells. The GP value is calculated as follows:

G e n e r a l i z e d p o l a r i z a t i o n = \frac{I_{b l u e} - I_{g r e e n}}{I_{b l u e} + I_{g r e e n}}

where I_blue and I_green are the fluorescence intensities emitted at 440 nm and 490 nm, respectively. Conventionally, 440 nm and 490 nm are the emission maximums for ordered lipid and disordered lipid bilayers, respectively. Images were acquired with a LSM780 (Zeiss) laser scanning microscope using a 63X oil immersion objective, coupled to a two-photon Ti:Sapphire laser (Coherent) tuned to 780 nm and 80 MHz. An SP 760 nm dichroic filter was used to separate laser light from fluorescence signal. The fluorescence signal was acquired from 416 nm to 474 nm for the blue channel and from 475 nm to 532 nm for the green channel using the GaAsP PMT detectors of the LSM780. GP values were calculated in Fiji (ImageJ) as previously described (Rentero et al., 2019). GP values were calculated for each cell of interest and the numeric difference in GP values for the whole cell are presented normalized to empty vector (set to 0).

Data availability

All data generated or analysed during this study are included in the manuscript and supporting files.

References

1. Ahi YS
2. Yimer D
3. Shi G
4. Majdoul S
5. Rahman K
6. Rein A
7. Compton AA
(2020) IFITM3 reduces retroviral envelope abundance and function and is counteracted by glycoGag
mBio 11:03088-19.

https://doi.org/10.1128/mBio.03088-19
- Google Scholar
1. Allen EK
2. Randolph AG
3. Bhangale T
4. Dogra P
5. Ohlson M
6. Oshansky CM
7. Zamora AE
8. Shannon JP
9. Finkelstein D
10. Dressen A
11. DeVincenzo J
12. Caniza M
13. Youngblood B
14. Rosenberger CM
15. Thomas PG
(2017) SNP-mediated disruption of CTCF binding at the IFITM3 promoter is associated with risk of severe influenza in humans
Nature Medicine 23:975–983.

https://doi.org/10.1038/nm.4370
- PubMed
- Google Scholar
1. Amini-Bavil-Olyaee S
2. Choi YJ
3. Lee JH
4. Shi M
5. Huang IC
6. Farzan M
7. Jung JU
(2013) The antiviral effector IFITM3 disrupts intracellular cholesterol homeostasis to block viral entry
Cell Host & Microbe 13:452–464.

https://doi.org/10.1016/j.chom.2013.03.006
- PubMed
- Google Scholar
(2019) functional mapping of regions involved in the negative imprinting of virion particle infectivity and in target cell protection by Interferon-Induced transmembrane protein 3 against HIV-1
Journal of Virology 93:e01716–e01718.

https://doi.org/10.1128/JVI.01716-18
- PubMed
- Google Scholar
1. Bailey CC
2. Huang IC
3. Kam C
4. Farzan M
(2012) Ifitm3 limits the severity of acute influenza in mice
PLOS Pathogens 8:e1002909.

https://doi.org/10.1371/journal.ppat.1002909
- PubMed
- Google Scholar
1. Bailey CC
2. Kondur HR
3. Huang IC
4. Farzan M
(2013) Interferon-induced transmembrane protein 3 is a type II transmembrane protein
Journal of Biological Chemistry 288:32184–32193.

https://doi.org/10.1074/jbc.M113.514356
- PubMed
- Google Scholar
1. Bailey CC
2. Zhong G
3. Huang IC
4. Farzan M
(2014) IFITM-Family proteins: the cell's First Line of Antiviral Defense
Annual Review of Virology 1:261–283.

https://doi.org/10.1146/annurev-virology-031413-085537
- PubMed
- Google Scholar
1. Barbot M
2. Jans DC
3. Schulz C
4. Denkert N
5. Kroppen B
6. Hoppert M
7. Jakobs S
8. Meinecke M
(2015) Mic10 oligomerizes to bend mitochondrial inner membranes at Cristae junctions
Cell Metabolism 21:756–763.

https://doi.org/10.1016/j.cmet.2015.04.006
- PubMed
- Google Scholar
1. Bieniasz PD
(2004) Intrinsic immunity: a front-line defense against viral attack
Nature Immunology 5:1109–1115.

https://doi.org/10.1038/ni1125
- PubMed
- Google Scholar
(2014a) Regulation of the trafficking and antiviral activity of IFITM3 by post-translational modifications
Future Microbiology 9:1151–1163.

https://doi.org/10.2217/fmb.14.65
- PubMed
- Google Scholar
(2014b) Phosphorylation of the antiviral protein interferon-inducible transmembrane protein 3 (IFITM3) dually regulates its endocytosis and ubiquitination
Journal of Biological Chemistry 289:11986–11992.

https://doi.org/10.1074/jbc.M114.557694
- PubMed
- Google Scholar
1. Chesarino NM
2. Compton AA
3. McMichael TM
4. Kenney AD
5. Zhang L
6. Soewarna V
7. Davis M
8. Schwartz O
(2017) IFITM3 requires an amphipathic Helix for antiviral activity
EMBO Reports 18:1740–1751.

https://doi.org/10.15252/embr.201744100
- Google Scholar
(2018) PRRT2 regulates synaptic fusion by directly modulating SNARE complex assembly
Cell Reports 22:820–831.

https://doi.org/10.1016/j.celrep.2017.12.056
- PubMed
- Google Scholar
1. Colom A
2. Derivery E
3. Soleimanpour S
4. Tomba C
5. Molin MD
6. Sakai N
7. González-Gaitán M
8. Matile S
9. Roux A
(2018) A fluorescent membrane tension probe
Nature Chemistry 10:1118–1125.

https://doi.org/10.1038/s41557-018-0127-3
- PubMed
- Google Scholar
1. Compton AA
2. Bruel T
3. Porrot F
4. Mallet A
5. Sachse M
6. Euvrard M
7. Liang C
8. Casartelli N
9. Schwartz O
(2014) IFITM proteins incorporated into HIV-1 virions impair viral fusion and spread
Cell Host & Microbe 16:736–747.

https://doi.org/10.1016/j.chom.2014.11.001
- PubMed
- Google Scholar
1. Compton AA
2. Roy N
3. Porrot F
4. Billet A
5. Casartelli N
6. Yount JS
7. Liang C
8. Schwartz O
(2016) Natural mutations in IFITM3 modulate post-translational regulation and toggle antiviral specificity
EMBO Reports 17:1657–1671.

https://doi.org/10.15252/embr.201642771
- PubMed
- Google Scholar
(2020) Single-cell glycolytic activity regulates membrane tension and HIV-1 fusion
PLOS Pathogens 16:e1008359.

https://doi.org/10.1371/journal.ppat.1008359
- PubMed
- Google Scholar
1. Cunningham F
2. Achuthan P
3. Akanni W
4. Allen J
5. Amode MR
6. Armean IM
7. Bennett R
8. Bhai J
9. Billis K
10. Boddu S
11. Cummins C
12. Davidson C
13. Dodiya KJ
14. Gall A
15. Girón CG
16. Gil L
17. Grego T
18. Haggerty L
19. Haskell E
20. Hourlier T
21. Izuogu OG
22. Janacek SH
23. Juettemann T
24. Kay M
25. Laird MR
26. Lavidas I
27. Liu Z
28. Loveland JE
29. Marugán JC
30. Maurel T
31. McMahon AC
32. Moore B
33. Morales J
34. Mudge JM
35. Nuhn M
36. Ogeh D
37. Parker A
38. Parton A
39. Patricio M
40. Abdul Salam AI
41. Schmitt BM
42. Schuilenburg H
43. Sheppard D
44. Sparrow H
45. Stapleton E
46. Szuba M
47. Taylor K
48. Threadgold G
49. Thormann A
50. Vullo A
51. Walts B
52. Winterbottom A
53. Zadissa A
54. Chakiachvili M
55. Frankish A
56. Hunt SE
57. Kostadima M
58. Langridge N
59. Martin FJ
60. Muffato M
61. Perry E
62. Ruffier M
63. Staines DM
64. Trevanion SJ
65. Aken BL
66. Yates AD
67. Zerbino DR
68. Flicek P
(2019) Ensembl 2019
Nucleic Acids Research 47:D745–D751.

https://doi.org/10.1093/nar/gky1113
- Google Scholar
1. Dal Molin M
2. Verolet Q
3. Colom A
4. Letrun R
5. Derivery E
6. Gonzalez-Gaitan M
7. Vauthey E
8. Roux A
9. Sakai N
10. Matile S
(2015) Fluorescent flippers for mechanosensitive membrane probes
Journal of the American Chemical Society 137:568–571.

https://doi.org/10.1021/ja5107018
- PubMed
- Google Scholar
1. Day RN
(2014) Measuring protein interactions using förster resonance energy transfer and fluorescence lifetime imaging microscopy
Methods 66:200–207.

https://doi.org/10.1016/j.ymeth.2013.06.017
- PubMed
- Google Scholar
1. Desai TM
2. Marin M
3. Chin CR
4. Savidis G
5. Brass AL
6. Melikyan GB
(2014) IFITM3 restricts influenza A virus entry by blocking the formation of fusion pores following virus-endosome hemifusion
PLOS Pathogens 10:e1004048.

https://doi.org/10.1371/journal.ppat.1004048
- PubMed
- Google Scholar
(2008) Mapping the Number of Molecules and Brightness in the Laser Scanning Microscope
Biophysical Journal 94:2320–2332.

https://doi.org/10.1529/biophysj.107.114645
- Google Scholar
1. Drin G
2. Antonny B
(2010) Amphipathic helices and membrane curvature
FEBS Letters 584:1840–1847.

https://doi.org/10.1016/j.febslet.2009.10.022
- Google Scholar
1. Everitt AR
2. Clare S
3. Pertel T
4. John SP
5. Wash RS
6. Smith SE
7. Chin CR
8. Feeley EM
9. Sims JS
10. Adams DJ
11. Wise HM
12. Kane L
13. Goulding D
14. Digard P
15. Anttila V
16. Baillie JK
17. Walsh TS
18. Hume DA
19. Palotie A
20. Xue Y
21. Colonna V
22. Tyler-Smith C
23. Dunning J
24. Gordon SB
25. Smyth RL
26. Openshaw PJ
27. Dougan G
28. Brass AL
29. Kellam P
(2012) IFITM3 restricts the morbidity and mortality associated with influenza
Nature 484:519–523.

https://doi.org/10.1038/nature10921
- Google Scholar
(2012) A GxxxG-like motif within HIV-1 fusion peptide is critical to its immunosuppressant activity, structure, and interaction with the transmembrane domain of the T-cell receptor
Journal of Biological Chemistry 287:33503–33511.

https://doi.org/10.1074/jbc.M112.370817
- PubMed
- Google Scholar
1. Feeley EM
2. Sims JS
3. John SP
4. Chin CR
5. Pertel T
6. Chen LM
7. Gaiha GD
8. Ryan BJ
9. Donis RO
10. Elledge SJ
11. Brass AL
(2011) IFITM3 inhibits influenza A virus infection by preventing cytosolic entry
PLOS Pathogens 7:e1002337.

https://doi.org/10.1371/journal.ppat.1002337
- PubMed
- Google Scholar
1. Fu B
2. Wang L
3. Li S
4. Dorf ME
(2017) ZMPSTE24 defends against influenza and other pathogenic viruses
Journal of Experimental Medicine 214:919–929.

https://doi.org/10.1084/jem.20161270
- PubMed
- Google Scholar
1. Gardiner AR
2. Bhatia KP
3. Stamelou M
4. Dale RC
5. Kurian MA
6. Schneider SA
7. Wali GM
8. Counihan T
9. Schapira AH
10. Spacey SD
11. Valente EM
12. Silveira-Moriyama L
13. Teive HA
14. Raskin S
15. Sander JW
16. Lees A
17. Warner T
18. Kullmann DM
19. Wood NW
20. Hanna M
21. Houlden H
(2012) PRRT2 gene mutations: from paroxysmal dyskinesia to episodic ataxia and hemiplegic migraine
Neurology 79:2115–2121.

https://doi.org/10.1212/WNL.0b013e3182752c5a
- PubMed
- Google Scholar
1. Gardiner AR
2. Jaffer F
3. Dale RC
4. Labrum R
5. Erro R
6. Meyer E
7. Xiromerisiou G
8. Stamelou M
9. Walker M
10. Kullmann D
11. Warner T
12. Jarman P
13. Hanna M
14. Kurian MA
15. Bhatia KP
16. Houlden H
(2015) The clinical and genetic heterogeneity of paroxysmal dyskinesias
Brain 138:3567–3580.

https://doi.org/10.1093/brain/awv310
- PubMed
- Google Scholar
(2018) The many faces of amphipathic helices
Biomolecules 8:45.

https://doi.org/10.3390/biom8030045
- Google Scholar
(2019) Membrane curvature and tension control the formation and collapse of caveolar superstructures
Developmental Cell 48:523–538.

https://doi.org/10.1016/j.devcel.2018.12.005
- PubMed
- Google Scholar
1. Goujon A
2. Colom A
3. Straková K
4. Mercier V
5. Mahecic D
6. Manley S
7. Sakai N
8. Roux A
9. Matile S
(2019) Mechanosensitive fluorescent probes to image membrane tension in mitochondria, endoplasmic reticulum, and lysosomes
Journal of the American Chemical Society 141:3380–3384.

https://doi.org/10.1021/jacs.8b13189
- PubMed
- Google Scholar
(2011) Rapid titration of measles and other viruses: optimization with determination of replication cycle length
PLOS ONE 6:e24135.

https://doi.org/10.1371/journal.pone.0024135
- PubMed
- Google Scholar
1. Huang IC
2. Bailey CC
3. Weyer JL
4. Radoshitzky SR
5. Becker MM
6. Chiang JJ
7. Brass AL
8. Ahmed AA
9. Chi X
10. Dong L
11. Longobardi LE
12. Boltz D
13. Kuhn JH
14. Elledge SJ
15. Bavari S
16. Denison MR
17. Choe H
18. Farzan M
(2011) Distinct patterns of IFITM-mediated restriction of filoviruses, SARS coronavirus, and influenza A virus
PLOS Pathogens 7:e1001258.

https://doi.org/10.1371/journal.ppat.1001258
- PubMed
- Google Scholar
1. Jia R
2. Pan Q
3. Ding S
4. Rong L
5. Liu SL
6. Geng Y
7. Qiao W
8. Liang C
(2012) The N-terminal region of IFITM3 modulates its antiviral activity by regulating IFITM3 cellular localization
Journal of Virology 86:13697–13707.

https://doi.org/10.1128/JVI.01828-12
- PubMed
- Google Scholar
1. John SP
2. Chin CR
3. Perreira JM
4. Feeley EM
5. Aker AM
6. Savidis G
7. Smith SE
8. Elia AEH
9. Everitt AR
10. Vora M
11. Pertel T
12. Elledge SJ
13. Kellam P
14. Brass AL
(2013) The CD225 Domain of IFITM3 Is Required for both IFITM Protein Association and Inhibition of Influenza A Virus and Dengue Virus Replication
Journal of Virology 87:7837–7852.

https://doi.org/10.1128/JVI.00481-13
- Google Scholar
1. Kamiński DM
(2014) Recent progress in the study of the interactions of amphotericin B with cholesterol and ergosterol in lipid environments
European Biophysics Journal 43:453–467.

https://doi.org/10.1007/s00249-014-0983-8
- PubMed
- Google Scholar
1. Kenney AD
2. Dowdle JA
3. Bozzacco L
4. McMichael TM
5. St. Gelais C
6. Panfil AR
7. Sun Y
8. Schlesinger LS
9. Anderson MZ
10. Green PL
11. López CB
12. Rosenberg BR
13. Wu L
14. Yount JS
(2017) Human Genetic Determinants of Viral Diseases
Annual Review of Genetics 51:241–263.

https://doi.org/10.1146/annurev-genet-120116-023425
- Google Scholar
1. Kühnl A
2. Musiol A
3. Heitzig N
4. Johnson DE
5. Ehrhardt C
6. Grewal T
7. Gerke V
8. Ludwig S
9. Rescher U
(2018) Late endosomal/Lysosomal cholesterol accumulation is a host Cell-Protective mechanism inhibiting endosomal escape of influenza A virus
mBio 9:01345-18.

https://doi.org/10.1128/mBio.01345-18
- Google Scholar
(2019) IFITM3 clusters on virus containing endosomes and lysosomes early in the influenza A infection of human airway epithelial cells
Viruses 11:548.

https://doi.org/10.3390/v11060548
- Google Scholar
1. Li K
2. Markosyan RM
3. Zheng Y-M
4. Golfetto O
5. Bungart B
6. Li M
7. Ding S
8. He Y
9. Liang C
10. Lee JC
11. Gratton E
12. Cohen FS
13. Liu S-L
(2013) IFITM Proteins Restrict Viral Membrane Hemifusion
PLOS Pathogens 9:e1003124.

https://doi.org/10.1371/journal.ppat.1003124
- Google Scholar
1. Lin T-Y
2. Chin CR
3. Everitt AR
4. Clare S
5. Perreira JM
6. Savidis G
7. Aker AM
8. John SP
9. Sarlah D
10. Carreira EM
11. Elledge SJ
12. Kellam P
13. Brass AL
(2013) Amphotericin B Increases Influenza A Virus Infection by Preventing IFITM3-Mediated Restriction
Cell Reports 5:895–908.

https://doi.org/10.1016/j.celrep.2013.10.033
- Google Scholar
1. Ling S
2. Zhang C
3. Wang W
4. Cai X
5. Yu L
6. Wu F
7. Zhang L
8. Tian C
(2016) Combined approaches of EPR and NMR illustrate only one transmembrane Helix in the human IFITM3
Scientific Reports 6:1–8.

https://doi.org/10.1038/srep24029
- Google Scholar
1. Liu Q
2. Qi Z
3. Wan XH
4. Li JY
5. Shi L
6. Lu Q
7. Zhou XQ
8. Qiao L
9. Wu LW
10. Liu XQ
11. Yang W
12. Liu Y
13. Cui LY
14. Zhang X
(2012) Mutations in PRRT2 result in paroxysmal dyskinesias with marked variability in clinical expression
Journal of Medical Genetics 49:79–82.

https://doi.org/10.1136/jmedgenet-2011-100653
- PubMed
- Google Scholar
1. Liu YT
2. Nian FS
3. Chou WJ
4. Tai CY
5. Kwan SY
6. Chen C
7. Kuo PW
8. Lin PH
9. Chen CY
10. Huang CW
11. Lee YC
12. Soong BW
13. Tsai JW
(2016) PRRT2 mutations lead to neuronal dysfunction and neurodevelopmental defects
Oncotarget 7:39184–39196.

https://doi.org/10.18632/oncotarget.9258
- PubMed
- Google Scholar
1. Lu B
2. Kiessling V
3. Tamm LK
4. Cafiso DS
(2014) The Juxtamembrane Linker of full-length synaptotagmin 1 controls oligomerization and calcium-dependent membrane binding
Journal of Biological Chemistry 289:22161–22171.

https://doi.org/10.1074/jbc.M114.569327
- PubMed
- Google Scholar
1. Martens S
2. McMahon HT
(2008) Mechanisms of membrane fusion: disparate players and common principles
Nature Reviews Molecular Cell Biology 9:543–556.

https://doi.org/10.1038/nrm2417
- PubMed
- Google Scholar
1. Meschia JF
(2018) Synaptic or ion channel modifier? PRRT2 is a chameleon-like regulator of neuronal excitability
Brain 141:936–938.

https://doi.org/10.1093/brain/awy073
- Google Scholar
1. Mo J
2. Wang B
3. Zhu X
4. Wu X
5. Liu Y
(2019) PRRT2 deficiency induces paroxysmal kinesigenic dyskinesia by influencing synaptic function in the primary motor cortex of rats
Neurobiology of Disease 121:274–285.

https://doi.org/10.1016/j.nbd.2018.10.011
- PubMed
- Google Scholar
(2017) nandb-number and brightness in R with a novel automatic detrending algorithm
Bioinformatics 33:3508–3510.

https://doi.org/10.1093/bioinformatics/btx434
- PubMed
- Google Scholar
(2014) Protter: interactive protein feature visualization and integration with experimental proteomic data
Bioinformatics 30:884–886.

https://doi.org/10.1093/bioinformatics/btt607
- Google Scholar
(2003) Oligomerization, biogenesis, and signaling is promoted by a glycophorin A-like dimerization motif in transmembrane domain 1 of a yeast G protein-coupled receptor
Journal of Biological Chemistry 278:49369–49377.

https://doi.org/10.1074/jbc.M308654200
- PubMed
- Google Scholar
(2013) IFITMs restrict the replication of multiple pathogenic viruses
Journal of Molecular Biology 425:4937–4955.

https://doi.org/10.1016/j.jmb.2013.09.024
- PubMed
- Google Scholar
1. Poh MK
2. Shui G
3. Xie X
4. Shi PY
5. Wenk MR
6. Gu F
(2012) U18666A, an intra-cellular cholesterol transport inhibitor, inhibits dengue virus entry and replication
Antiviral Research 93:191–198.

https://doi.org/10.1016/j.antiviral.2011.11.014
- PubMed
- Google Scholar
(2014) Protein-induced membrane curvature alters local membrane tension
Biophysical Journal 107:751–762.

https://doi.org/10.1016/j.bpj.2014.06.010
- PubMed
- Google Scholar
(2019) Quantitative imaging of membrane lipid order in cells and organisms
Nature Protocols 7:24–35.

https://doi.org/10.1038/nprot.2011.419
- Google Scholar
1. Rossi P
2. Sterlini B
3. Castroflorio E
4. Marte A
5. Onofri F
6. Valtorta F
7. Maragliano L
8. Corradi A
9. Benfenati F
(2016) A novel topology of Proline-rich transmembrane protein 2 (PRRT2)
Journal of Biological Chemistry 291:6111–6123.

https://doi.org/10.1074/jbc.M115.683888
- Google Scholar
(2012) The dispanins: a novel gene family of ancient origin that contains 14 human members
PLOS ONE 7:e31961.

https://doi.org/10.1371/journal.pone.0031961
- PubMed
- Google Scholar
(2004) Improved monomeric red, orange and yellow fluorescent proteins derived from Discosoma sp. red fluorescent protein
Nature Biotechnology 22:1567–1572.

https://doi.org/10.1038/nbt1037
- PubMed
- Google Scholar
1. Sharma A
2. McLaughlin RN
3. Basom RS
4. Kikawa C
5. OhAinle M
6. Yount JS
7. Emerman M
8. Overbaugh J
(2019) Macaque interferon-induced transmembrane proteins limit replication of SHIV strains in an Envelope-dependent manner
PLOS Pathogens 15:e1007925.

https://doi.org/10.1371/journal.ppat.1007925
- PubMed
- Google Scholar
1. Sherry ST
2. Ward MH
3. Kholodov M
4. Baker J
5. Phan L
6. Smigielski EM
7. Sirotkin K
(2001) dbSNP: the NCBI database of genetic variation
Nucleic Acids Research 29:308–311.

https://doi.org/10.1093/nar/29.1.308
- PubMed
- Google Scholar
(2017) More than meets the I: the diverse antiviral and cellular functions of interferon-induced transmembrane proteins
Retrovirology 14:1–11.

https://doi.org/10.1186/s12977-017-0377-y
- PubMed
- Google Scholar
1. Smith S
2. Weston S
3. Kellam P
4. Marsh M
(2014) IFITM proteins-cellular inhibitors of viral entry
Current Opinion in Virology 4:71–77.

https://doi.org/10.1016/j.coviro.2013.11.004
- PubMed
- Google Scholar
1. Spence JS
2. He R
3. Hoffmann H-H
4. Das T
5. Thinon E
6. Rice CM
7. Peng T
8. Chandran K
9. Hang HC
(2019) IFITM3 directly engages and shuttles incoming virus particles to lysosomes
Nature Chemical Biology 15:259–268.

https://doi.org/10.1038/s41589-018-0213-2
- Google Scholar
1. Suddala KC
2. Lee CC
3. Meraner P
4. Marin M
5. Markosyan RM
6. Desai TM
7. Cohen FS
8. Brass AL
9. Melikyan GB
(2019) Interferon-induced transmembrane protein 3 blocks fusion of sensitive but not resistant viruses by partitioning into virus-carrying endosomes
PLOS Pathogens 15:e1007532.

https://doi.org/10.1371/journal.ppat.1007532
- Google Scholar
1. Sun Y
2. Day RN
3. Periasamy A
(2011) Investigating protein-protein interactions in living cells using fluorescence lifetime imaging microscopy
Nature Protocols 6:1324–1340.

https://doi.org/10.1038/nprot.2011.364
- PubMed
- Google Scholar
1. Tartour K
2. Appourchaux R
3. Gaillard J
4. Nguyen X-N
5. Durand S
6. Turpin J
7. Beaumont E
8. Roch E
9. Berger G
10. Mahieux R
11. Brand D
12. Roingeard P
13. Cimarelli A
(2014) IFITM proteins are incorporated onto HIV-1 virion particles and negatively imprint their infectivity
Retrovirology 11:103.

https://doi.org/10.1186/s12977-014-0103-y
- Google Scholar
1. Tartour K
2. Nguyen X-N
3. Appourchaux R
4. Assil S
5. Barateau V
6. Bloyet L-M
7. Burlaud Gaillard J
8. Confort M-P
9. Escudero-Perez B
10. Gruffat H
11. Hong SS
12. Moroso M
13. Reynard O
14. Reynard S
15. Decembre E
16. Ftaich N
17. Rossi A
18. Wu N
19. Arnaud F
20. Baize S
21. Dreux M
22. Gerlier D
23. Paranhos-Baccala G
24. Volchkov V
25. Roingeard P
26. Cimarelli A
(2017) Interference with the production of infectious viral particles and bimodal inhibition of replication are broadly conserved antiviral properties of IFITMs
PLOS Pathogens 13:e1006610.

https://doi.org/10.1371/journal.ppat.1006610
- Google Scholar
1. Teese MG
2. Langosch D
(2015) Role of GxxxG motifs in transmembrane domain interactions
Biochemistry 54:5125–5135.

https://doi.org/10.1021/acs.biochem.5b00495
- PubMed
- Google Scholar
1. Valente P
2. Castroflorio E
3. Rossi P
4. Fadda M
5. Sterlini B
6. Cervigni RI
7. Prestigio C
8. Giovedì S
9. Onofri F
10. Mura E
11. Guarnieri FC
12. Marte A
13. Orlando M
14. Zara F
15. Fassio A
16. Valtorta F
17. Baldelli P
18. Corradi A
19. Benfenati F
(2016) PRRT2 is a key component of the ca(2+)-Dependent neurotransmitter release machinery
Cell Reports 15:117–131.

https://doi.org/10.1016/j.celrep.2016.03.005
- PubMed
- Google Scholar
(2016) PRRT2: from paroxysmal disorders to regulation of synaptic function
Trends in Neurosciences 39:668–679.

https://doi.org/10.1016/j.tins.2016.08.005
- PubMed
- Google Scholar
(2012) PRRT2 phenotypes and penetrance of paroxysmal kinesigenic dyskinesia and infantile convulsions
Neurology 79:777–784.

https://doi.org/10.1212/WNL.0b013e3182661fe3
- PubMed
- Google Scholar
1. Vanni S
2. Hirose H
3. Barelli H
4. Antonny B
5. Gautier R
(2014) A sub-nanometre view of how membrane curvature and composition modulate lipid packing and protein recruitment
Nature Communications 5:4916.

https://doi.org/10.1038/ncomms5916
- Google Scholar
1. Wang Y
2. Pan Q
3. Ding S
4. Wang Z
5. Yu J
6. Finzi A
7. Liu S-L
8. Liang C
(2017) The V3 loop of HIV-1 env determines viral susceptibility to IFITM3 impairment of viral infectivity
Journal of Virology 91:e02441-02416-02417.

https://doi.org/10.1128/JVI.02441-16
- Google Scholar
1. Wilson MR
2. Kugel S
3. Huang J
4. Wilson LJ
5. Wloszczynski PA
6. Ye J
7. Matherly LH
8. Hou Z
(2015) Structural determinants of human proton-coupled folate transporter oligomerization: role of GXXXG motifs and identification of oligomeric interfaces at transmembrane domains 3 and 6
Biochemical Journal 469:33–44.

https://doi.org/10.1042/BJ20150169
- PubMed
- Google Scholar
1. Winkler M
2. Wrensch F
3. Bosch P
4. Knoth M
5. Schindler M
6. Gärtner S
7. Pöhlmann S
(2019) Analysis of IFITM-IFITM interactions by a flow Cytometry-Based FRET assay
International Journal of Molecular Sciences 20:3859.

https://doi.org/10.3390/ijms20163859
- Google Scholar
(2014) IFITM proteins inhibit entry driven by the MERS-coronavirus spike protein: evidence for cholesterol-independent mechanisms
Viruses 6:3683–3698.

https://doi.org/10.3390/v6093683
- PubMed
- Google Scholar
1. Yan N
2. Chen ZJ
(2012) Intrinsic antiviral immunity
Nature Immunology 13:214–222.

https://doi.org/10.1038/ni.2229
- PubMed
- Google Scholar
(2012) S-palmitoylation and ubiquitination differentially regulate interferon-induced transmembrane protein 3 (IFITM3)-mediated resistance to influenza virus
Journal of Biological Chemistry 287:19631–19641.

https://doi.org/10.1074/jbc.M112.362095
- PubMed
- Google Scholar
1. Yu J
2. Li M
3. Wilkins J
4. Ding S
5. Swartz TH
6. Esposito AM
7. Zheng YM
8. Freed EO
9. Liang C
10. Chen BK
11. Liu SL
(2015) IFITM proteins restrict HIV-1 infection by antagonizing the envelope glycoprotein
Cell Reports 13:145–156.

https://doi.org/10.1016/j.celrep.2015.08.055
- PubMed
- Google Scholar
1. Zani A
2. Yount JS
(2018) Antiviral protection by IFITM3 in vivo
Current Clinical Microbiology Reports 5:229–237.

https://doi.org/10.1007/s40588-018-0103-0
- PubMed
- Google Scholar
(2006) Laurdan fluorescence senses mechanical strain in the lipid bilayer membrane
Biochemical and Biophysical Research Communications 347:838–841.

https://doi.org/10.1016/j.bbrc.2006.06.152
- PubMed
- Google Scholar
1. Zhang Z
2. Liu J
3. Li M
4. Yang H
5. Zhang C
(2012) Evolutionary dynamics of the interferon-induced transmembrane gene family in vertebrates
PLOS ONE 7:e49265.

https://doi.org/10.1371/journal.pone.0049265
- PubMed
- Google Scholar
1. Zhao X
2. Sehgal M
3. Hou Z
4. Cheng J
5. Shu S
6. Wu S
7. Guo F
8. Le Marchand SJ
9. Lin H
10. Chang J
11. Guo JT
(2018) Identification of residues controlling restriction versus enhancing activities of IFITM proteins on entry of human coronaviruses
Journal of Virology 92:e01535-17.

https://doi.org/10.1128/JVI.01535-17
- PubMed
- Google Scholar

Article and author information

Author details

Kazi Rahman

HIV Dynamics and Replication Program, Center for Cancer Research, National Cancer Institute, Frederick, United States

Contribution
Conceptualization, Formal analysis, Supervision, Validation, Investigation, Visualization, Methodology, Writing - review and editing

Contributed equally with
Charles A Coomer

Competing interests
No competing interests declared

"This ORCID iD identifies the author of this article:" 0000-0003-2986-0007
Charles A Coomer
1. HIV Dynamics and Replication Program, Center for Cancer Research, National Cancer Institute, Frederick, United States
2. Cellular Imaging Group, Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, United Kingdom
Contribution
Data curation, Software, Formal analysis, Validation, Investigation, Visualization, Methodology, Writing - review and editing

Contributed equally with
Kazi Rahman

Competing interests
No competing interests declared

"This ORCID iD identifies the author of this article:" 0000-0003-2523-6485
Saliha Majdoul

HIV Dynamics and Replication Program, Center for Cancer Research, National Cancer Institute, Frederick, United States

Contribution
Formal analysis, Investigation, Writing - review and editing

Competing interests
No competing interests declared

"This ORCID iD identifies the author of this article:" 0000-0002-0530-6354
Selena Y Ding

HIV Dynamics and Replication Program, Center for Cancer Research, National Cancer Institute, Frederick, United States

Contribution
Investigation

Competing interests
No competing interests declared

"This ORCID iD identifies the author of this article:" 0000-0002-4413-644X
Sergi Padilla-Parra
1. Cellular Imaging Group, Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, United Kingdom
2. Department of Infectious Diseases, King’s College London, Faculty of Life Sciences & Medicine, London, United Kingdom
3. Randall Division of Cell and Molecular Biophysics, King’s College London, London, United Kingdom
Contribution
Software, Supervision, Funding acquisition, Methodology, Writing - review and editing

Competing interests
No competing interests declared

"This ORCID iD identifies the author of this article:" 0000-0002-8010-9481
Alex A Compton

HIV Dynamics and Replication Program, Center for Cancer Research, National Cancer Institute, Frederick, United States

Contribution
Conceptualization, Data curation, Formal analysis, Supervision, Funding acquisition, Validation, Investigation, Visualization, Methodology, Writing - original draft, Writing - review and editing

For correspondence
alex.compton@nih.gov

Competing interests
No competing interests declared

"This ORCID iD identifies the author of this article:" 0000-0002-7508-4953

Funding

National Institutes of Health (Intramural Research Program)

Kazi Rahman
Charles A Coomer
Saliha Majdoul
Selena Y Ding
Alex A Compton

European Research Council (ERC-2019-CoG-863869 FUSION)

Sergi Padilla-Parra

The funders had no role in study design, data collection and interpretation, or the decision to submit the work for publication.

Acknowledgements

We thank Guoli Shi, Stephen Lockett, and the Optical Microscopy and Image Analysis Laboratory of the National Cancer Institute, Center for Cancer Research for providing technical support during the acquisition and analysis of microscopy data.

Copyright

This is an open-access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 public domain dedication.