1. Chromosomes and Gene Expression
  2. Immunology and Inflammation

Soluble PD-L1 generated by endogenous retroelement exaptation is a receptor antagonist

  1. Kevin W Ng
  2. Jan Attig
  3. George R Young
  4. Eleonora Ottina
  5. Spyros I Papamichos
  6. Ioannis Kotsianidis
  7. George Kassiotis  Is a corresponding author
  1. Retroviral Immunology, The Francis Crick Institute, United Kingdom
  2. Retrovirus-Host Interactions, The Francis Crick Institute, United Kingdom
  3. Democritus University of Thrace Medical School, Greece
  4. Faculty of Medicine, Imperial College London, United Kingdom
https://doi.org/10.7554/eLife.50256
Share this article
Cite this article
  1. Kevin W Ng
  2. Jan Attig
  3. George R Young
  4. Eleonora Ottina
  5. Spyros I Papamichos
  6. Ioannis Kotsianidis
  7. George Kassiotis
(2019)
Soluble PD-L1 generated by endogenous retroelement exaptation is a receptor antagonist
eLife 8:e50256.
https://doi.org/10.7554/eLife.50256
  2. Download BibTeX
  3. Download .RIS

Abstract

Immune regulation is a finely balanced process of positive and negative signals. PD-L1 and its receptor PD-1 are critical regulators of autoimmune, antiviral and antitumoural T cell responses. Although the function of its predominant membrane-bound form is well established, the source and biological activity of soluble PD-L1 (sPD-L1) remain incompletely understood. Here, we show that sPD-L1 in human healthy tissues and tumours is produced by exaptation of an intronic LINE-2A (L2A) endogenous retroelement in the CD274 gene, encoding PD-L1, which causes omission of the transmembrane domain and the regulatory sequence in the canonical 3’ untranslated region. The alternatively spliced CD274-L2A transcript forms the major source of sPD-L1 and is highly conserved in hominids, but lost in mice and a few related species. Importantly, CD274-L2A-encoded sPD-L1 lacks measurable T cell inhibitory activity. Instead, it functions as a receptor antagonist, blocking the inhibitory activity of PD-L1 bound on cellular or exosomal membranes.

Introduction

First identified as a marker of developing thymocytes, co-inhibitory receptor programmed cell death protein 1 (PD-1) plays a well-recognised role in restraining T cell responses in autoimmunity, infection or cancer (Chamoto et al., 2017; Dai et al., 2014; Sharpe and Pauken, 2018; Sun et al., 2018). PD-1 is induced in T cells proportionally to the strength of T cell receptor (TCR) stimulation, rendering them receptive to signals from its two ligands, PD-1 ligand 1 (PD-L1) and 2 (PD-L2), both of which are membrane-bound proteins (Chamoto et al., 2017; Sharpe and Pauken, 2018; Sun et al., 2018).

In addition to its major membrane-bound form, a soluble form of PD-L1 (sPD-L1) has long been documented in healthy human serum and found elevated in autoimmune disease and in cancer (Chen et al., 2011; Frigola et al., 2011; Koukourakis et al., 2018; Okuma et al., 2017; Rossille et al., 2014; Wan et al., 2006; Wang et al., 2015; Zhou et al., 2017; Zhu and Lang, 2017). However, the precise source of sPD-L1 has remained uncertain. Cell-free PD-L1 is also found in exosomes, where it is still membrane-bound (Chen et al., 2018; Poggio et al., 2019; Ricklefs et al., 2018) and this exosomal PD-L1 (exPD-L1) has confounded detection of membrane-free sPD-L1. Nevertheless, membrane-free non-exosomal sPD-L1 has been demonstrated as a distinct, lower molecular weight, form of PD-L1 (Chen et al., 2011; Frigola et al., 2011).

Proteolytic cleavage and release of the extracellular domain of PD-L1 has been considered as one possible source of sPD-L1, implicating matrix metalloproteinase activity (Chen et al., 2011). Membrane-free forms of sPD-L1 may also be produced by alternative splicing of the CD274 transcript (encoding PD-L1). At least two distinct types of splicing events have been described in several recent reports to remove or affect the exon encoding the PD-L1 transmembrane domain. The first involves mid-exon splicing (Gong et al., 2019; Zhou et al., 2017), whereas the second is created by alternative polyadenylation (Hassounah et al., 2019; Mahoney et al., 2019; Singh et al., 2018). However, the balance between the various CD274 isoforms and, consequently, their relative contribution to the pool of sPD-L1 remain unknown.

Also unclear is the biological activity of sPD-L1 (Zhu and Lang, 2017). Serum levels of sPD-L1 have been negatively associated with overall survival or response to immunotherapy in diverse cancer types, including renal cell carcinoma, diffuse large B-cell lymphoma, multiple myeloma, melanoma, and lung cancer (Frigola et al., 2012; Frigola et al., 2011; Koukourakis et al., 2018; Okuma et al., 2017; Rossille et al., 2014; Wang et al., 2015; Zhou et al., 2017), suggesting a possible inhibitory effect. However, immune suppression mediated by cell-free PD-L1, as well as its negative association with overall survival and response to anti-PD-1 immunotherapy has recently been attributed to exPD-L1 in melanoma, glioblastoma, and mouse models (Chen et al., 2018; Poggio et al., 2019; Ricklefs et al., 2018). In contrast, a study of melanoma patients did not support an inhibitory role for membrane-free sPD-L1 (Chen et al., 2018). Several studies have reported that, in direct in vitro assays, sPD-L1 suppresses T cell activation (Frigola et al., 2011; Hassounah et al., 2019; Mahoney et al., 2019; Zhou et al., 2017), suggesting it retains the inhibitory activity of the membrane-bound form. However, sPD-L1 completely lacked inhibitory activity in similar in vitro assays in other reports (Chen et al., 2018; Gong et al., 2019). Thus, despite its potential importance, the biological activity of sPD-L1 has not yet been established.

We have been studying the contribution of endogenous retroelements (EREs) to the diversification of the human transcriptome (Attig et al., 2019). Abundant genomic integrations of EREs, including long and short interspersed nuclear elements (LINEs and SINEs, respectively) and endogenous retroviruses (ERVs) (Lander et al., 2001) can generate alternative transcript isoforms through the supply of alternative promoters, splicing, or polyadenylation sites (Babaian and Mager, 2016; Burns and Boeke, 2012; Feschotte and Gilbert, 2012; Kassiotis and Stoye, 2016). Here, we describe CD274 isoforms generated by transcriptional inclusion of EREs. We show that exonisation of an intronic germline LINE integration in the CD274 gene is responsible for alternative polyadenylation of a truncated CD274 mRNA and for production of sPD-L1. We provide further evidence that sPD-L1, produced by LINE exaptation, is evolutionarily conserved in humans, lacks inhibitory activity and is, in fact, a receptor antagonist.

Results

CD274 splice variants generated by retroelement exonisation

In an effort to identify aberrant inclusion of EREs in transcripts of cellular genes, we de novo assembled transcripts expressed in a multitude of human cancers, where ERE transcriptional activity is elevated (Attig et al., 2019). Together with numerous retroelements (Figure 1A), the CD274 locus comprises four currently RefSeq or GENCODE annotated variants (Figure 1B; variants 1–4) and two recently cloned variants (Zhou et al., 2017), each generated by one of the two variant 3 splicing alternatives (Figure 1C; variants 9 and 12). Inspection of our recent assembly (Attig et al., 2019) for ERE-overlapping transcripts at this locus identified three variants that use a terminal ERE instead of the canonical termination and polyadenylation site, referred to here as CD274-MIRB, CD274-FLAM_A and CD274-L2A, according to the superfamily of their respective ERE (Figure 1D). Transcript CD274-MIRB omits the splice site at the end of the canonical exon 6 and terminates at a MIRB SINE integrated in intron 6 (Figure 1D). Transcript CD274-FLAM_A skips the canonical terminal exon 7 and instead uses an alternative splice acceptor site at a downstream FLAM_A SINE (Figure 1D). Transcript CD274-L2A corresponds to CD274 splice variant 4 (NCBI accession NM_001314029).

Figure 1 with 4 supplements see all
Download asset Open asset
CD274 protein domains and splice variants.

(A) Depiction of reference genome EREs and other repeats in the genomic locus spanning the CD274 gene, relative to CD274 exons. (B) GENCODE or RefSeq annotated splice variants of the CD274 gene. Variant numbers correspond to the following NCBI Reference Sequence accessions: variant 1 (NM_014143), variant 2 (NM_001267706), variant 3 (NR_052005) and variant 4 (NM_001314029). (C) Recently-described novel variants encoding sPD-L1 (Zhou et al., 2017). (D) CD274 splice variants de novo assembled in this study and overlapping one or more EREs. (E) Inclusion of an L2A element as a terminal exon and polyadenylation site in splice variant CD274-L2A. The relative position of the intronic L2A element, as well as the novel C-terminal amino acid created from its exonisation are also indicated. (F) RNA-seq traces representative of each of the ERE-overlapping CD274 variants, CD274-MIRB, CD274-FLAM_A and CD274-L2A. For the low recurrence CD274-MIRB and CD274-FLAM_A variants, the samples with the highest expression are shown, whereas for the high recurrence CD274-L2A, a representative ESCA sample is shown. (G) Box plot of CD274 variant 1 and CD274-L2A expression (in TPMs) in the indicated cancer patient (n = 24 for each indication) and healthy control samples (n between 2 and 156).

Figure 1—source data 1

Expression of CD274 variant 1 and CD274-L2A in TCGA and GTEx samples.

https://cdn.elifesciences.org/articles/50256/elife-50256-fig1-data1-v2.xlsx

In contrast to transcripts CD274-MIRB and CD274-FLAM_A, which include the transmembrane domain encoded by the canonical exon 5, transcript CD274-L2A encodes a truncated isoform of PD-L1, which retains the extracellular Ig-like V and C2 type domains that mediate receptor binding (Figure 1D,E; Figure 1—figure supplement 1A–D) and has recently been reported to produce sPD-L1 with the capacity to bind PD-1 (Hassounah et al., 2019; Mahoney et al., 2019). We found that the CD274-L2A variant omits the splice site at the end of the canonical exon 4 and instead continues into an L2A LINE integration in intron 4, which acts as a terminal exon and polyadenylation signal (Figure 1D,E). Thus, this form of sPD-L1 is generated by alternative splicing and L2A element exonisation following the canonical exon 4, resulting in a novel 18-amino acid C-terminal sequence (Figure 1D,E). Production of sPD-L1 by this transcript critically depended on the presence of the L2A element in intron 4, as its deletion abolished sPD-L1 expression by an intron 4-containing minigene (Figure 1—figure supplement 2A–C).

Expression of CD274 variant 1, encoding the canonical full-length PD-L1, was detected in a variety of healthy tissues and was further upregulated in multiple cancers (Figure 1F), as expected (Sharpe and Pauken, 2018; Sun et al., 2018). In contrast, CD274-MIRB and CD274-FLAM_A were expressed at high levels only in a few patient samples (Figure 1—figure supplement 3). Although no structural variations that could account for the CD274-MIRB and CD274-FLAM_A transcript structures were found in the highest expressing samples, it is likely that these transcripts arise from processes specific to the individual tumours and indicate the sensitivity of our assembly in capturing transcripts expressed in only a few individuals.

Consistent with two recent reports (Hassounah et al., 2019; Mahoney et al., 2019), variant CD274-L2A was readily detected in a variety of healthy tissues and cancer samples (Figure 1G). Similarly to variant 1, CD274-L2A was upregulated in multiple cancers, although levels of CD274-L2A expression levels remained overall 10 times lower than of variant 1 (Figure 1G). In addition to CD274-L2A, variants 3, 9, and 12 also encode truncated forms of PD-L1 lacking the transmembrane domain, due to shared mid-exon splicing events (Gong et al., 2019; Zhou et al., 2017) (Figure 1—figure supplement 1B,C). We therefore examined the relative contribution of all these distinct transcripts to potential sPD-L1 production by comparing their expression levels. Transcripts corresponding to variants 9 and 12 were neither present in our assembly nor were they supported by manual splice junction analysis (Figure 1—figure supplement 4). These observations suggest that, similarly to CD274-MIRB and CD274-FLAM_A, variants 9 and 12 were sporadically expressed in our sample collection or in independent cohorts (Gong et al., 2019) and that CD274-L2A is the predominant sPD-L1-encoding variant in the majority of tumour and healthy samples.

CD274-L2A genomic features are highly conserved in hominids

We reasoned that if the L2A exonisation that generates the CD274-L2A isoform were not accidental, but produced a molecule with a distinct biological function, there might be evidence for evolutionary selection of the genomic features that permit the generation of this transcript. Since sPD-L1 has not been described in laboratory mice and was not detectable in murine cells lines that readily express membrane bound PD-L1 (Figure 2—figure supplement 1A,B), we first considered the possibility that generation of the CD274-L2A transcript is specific to humans and related species. Although no L2A integration is annotated by RepeatMasker (www.repeatmasker.org) in intron 4 of the murine Cd274 gene, the major expansion of L2A elements in mammalian genomes is thought to have preceded placental mammal diversification and has now ceased (Goodier and Kazazian, 2008). It was, therefore, possible that an ancestral L2A integration was present in all mammals but was subsequently modified or lost, according to species-specific evolutionary paths of the CD274 locus.

Comparative genomics revealed surprisingly good alignment of this intronic region across all mammals (Figure 2A,B), providing evidence for an ancestral L2A integration. This alignment was disrupted by a few insertions and deletions in distinct species (Figure 2B–E). The largest insertion was caused by a secondary SINE integration within the L2A integration specific to the porcine Cd274 gene (Figure 2C). This insertion did not affect the splice donor site at the end of exon 4 of the L2A polyadenylation signal (Figure 2C), but instead modified the last 9 of the novel 18-amino acid C-terminal sequence (GNILNVSIKMHLALEVPL). In the leporine Cd274 gene, a smaller insertion disrupted the L2A polyadenylation signal (Figure 2D), which likely compromises mRNA stability.

Figure 2 with 1 supplement see all
Download asset Open asset
Evolutionary conservation of CD274-L2A genomic features in hominids.

(A–B) Genomic alignment of the indicated portion of the CD274 gene using nucleotide sequences from 65 eutherian mammals. A large SINE insertion in the porcine Cd274 gene and a smaller insertion in the leporine Cd274 gene were removed to aid the visual representation of alignment (both these species are highlighted in A. Base substitutions are indicated by highlighting and absence of highlighting denotes base conservation. (C) Comparison of the human and porcine genes, illustrating the SINE/tRNA insertion in the latter. (D) Comparison of the human and leporine genes, illustrating an insertion in the polyadenylation site of the latter. (E) Comparison of the human and murine genes, illustrating a 24-nucleotide deletion in the latter and mutations at the splice and polyadenylation sites. (F) Alignment tree depicting the distance of the consensus L2A element sequence from the respective human, chimpanzee, murine and rat elements. (G) Sequence divergence of coding and non-coding exons, introns and of the 100 nucleotides covering the exonised part of intron 4 and embedded L2A element in CD274 genomic sequences from 10 primate species. The individual segments of the CD274 gene compared were scaled to the same width.

Of note, the Cd274 gene in mice, rats, and hamsters exhibited a 24-nucleotide deletion in this intronic region, as well as numerous substitutions (Figure 2A,B). These changes seemed to have two major consequences. Firstly, in contrast to the splice donor site at the end of the human CD274 exon 4, which is predicted to be a weak motif (GUAAUA), the equivalent splice donor site in the murine Cd274 gene (GUGAGU) was identical to the intronic part of the consensus splice donor motif GUPuAGU (Figure 2E). Secondly, the polyadenylation signal in the murine L2A integration was mutated and no longer appeared functional (Figure 2E). Therefore, humans, non-human primates and other species, but not rabbits or rodents, such as mice, rats and hamsters, have retained the properties required to produce the CD274-L2A transcript. Accordingly, CD274-L2A transcripts were detected by qRT-PCR in non-human primate cells, but not in cells of rabbit or mouse origin, despite expression of the full-length CD274 in all these cell lines (Figure 2—figure supplement 1C,D). Together with the high degree of conservation in the hominid lineage, these observations suggest that the ability to produce the CD274-L2A transcript has been selected for, likely through an important biological function. The ancestral L2A integration was better preserved in hominids than in rodents, as suggested by greater sequence homology of the human and chimpanzee L2A integration (67.1%) with the consensus L2A than either the rat or mouse L2A integrations (49.4% and 45.7%, respectively) (Figure 2F). This difference was likely caused by faster evolution of the rodent L2A integration, as the human L2A integration in the CD274 intron 4 appeared to evolve overall at a similar rate as the average of other L2A integrations of comparable size in the human genome (divergence: 30.3%; deletions: 7.3%; insertions: 0.0% for the CD274 intron 4 L2A integration, and divergence: 27.3%; deletions: 7.8%; insertions: 5.0% for all 437 L2A integrations of 75–77 nucleotides in the human genome). However, potential exaptation of the L2A element in the CD274 intron 4 would select for the new function for this L2A element and, consequently, only for the features that are necessary for this new function. These features included the splice site at the end of the CD274 exon 4, the sequence encoding the novel 18 C-terminal amino acids and the polyadenylation site and were provided jointly by the first 29 nucleotides of intron 4 and the first 71 nucleotides of the succeeding L2A element. Indeed, when the sequence divergence of these 100 nucleotides between the splice site at the end of the CD274 exon 4 and the polyadenylation site in the L2A element was examined in 10 primate species, it was found as low as that of coding exons, contrasting the higher divergence of the rest of CD274 intron 4, other CD274 introns and non-coding exons (Figure 2G). These findings indicate retention of ability to produce CD274-L2A in primates and certain other species, but its loss through specific mutation in rabbits and rodents.

CD274-L2A regulated independently from the canonical variant 1

The expression pattern of the two main CD274 variants, variant 1 and CD274-L2A, suggested a degree of co-regulation (Figure 1G), which was expected given they are both driven by the same promoter. However, shifts in splicing patterns would create one variant transcript at the expense of the other, and regulatory sequences in the 3’ untranslated region (UTR) of variant 1 (Coelho et al., 2017), but not of CD274-L2A, could affect their stability differentially. Indeed, expression of the two transcripts only weakly correlated in healthy tissues (R2 = 0.138) or different cancer types (R2 = 0.327) (Figure 3A). Importantly, the ratio of CD274-L2A to variant 1 was generally increased in cancer, as exemplified when comparing healthy lung to lung squamous cell carcinoma (LUSC) or lung adenocarcinoma (LUAD) (Figure 3A). Comparable results were obtained when individual cancer of healthy tissue types were examined separately (Figure 3—figure supplement 1). For example, healthy lung samples expressed almost exclusively variant 1, whereas LUAD acquired expression also of CD274-L2A (Figure 3—figure supplement 1). Similarly, expression of the two transcripts in 933 cancer cell lines was weakly correlated (R2 = 0.215), with their ratios varying between cell lines by at least two orders of magnitude (Figure 3B).

Figure 3 with 2 supplements see all
Download asset Open asset
CD274-L2A and CD274v1 expression are decoupled under certain stimuli.

(A) CD274 variant 1 and CD274-L2A expression across TCGA tumour and GTEx healthy samples. Average TPM is shown per tissue type, with linear regression performed separately for tumour and healthy samples. (B) CD274 variant 1 and CD274-L2A expression (in TPMs) across the CCLE dataset. Dashed lines denote a 10:1 and 1:1 ratio of CD274v1:CD274-L2A, respectively. (C) Expression of CD274 variant 1 and CD274-L2A, measured by qRT-PCR using variant-specific primers in five leukocyte cell lines. Cells were stimulated with IFN-α or IFN-γ for 48 hr or were left untreated. Mean (± SEM) expression normalized to HPRT from three independent experiments is shown. (D) Expression of CD274 variant 1 and CD274-L2A (in TPMs), calculated using RNA-seq data (SRP045500) from B cells, monocytes and neutrophils isolated from peripheral blood of healthy individuals of patients with Sepsis, ALS or T1D or from MS patients before and 24 hr after the first treatment with IFN-β.

Figure 3—source data 1

Expression of CD274 variants in the CCLE collection.

https://cdn.elifesciences.org/articles/50256/elife-50256-fig3-data1-v2.xlsx

Although the expression patterns of variant 1 and CD274-L2A observed here were broadly concordant with those independently reported (Hassounah et al., 2019; Mahoney et al., 2019), our data did not support a strong correlation between the two transcripts. Such differences are likely due to distinct methods used for quantitation of these two CD274 variants in RNA-seq data in the different studies. For example, reads mapping uniquely to CD274-L2A or a proxy for CD274-L2A expression (ratio of shared exon 4 to non-shared exon 5) were previously used to calculated expression as reads per kilobase per million reads (RPKM) (Hassounah et al., 2019; Mahoney et al., 2019). In contrast, we used an extended transcriptome assembly, which includes additional exon-sharing transcripts produced by the CD274 locus and calculated expression as transcripts per million (TPM), a modification of RPKM measurements that was developed to eliminate inconsistent calculations across samples (Wagner et al., 2012).

We therefore examined in more detail the possible correlation of variant 1 and CD274-L2A expression using variant-specific qRT-PCR at the steady-state, as well as following interferon (IFN) stimulation. To this end, we used a series of B cell leukaemia cell lines, representing progressive steps of B cell differentiation and concomitant PD-L1 expression (Basso and Dalla-Favera, 2015). Indeed, in the absence of IFN stimulation, the Burkitt's lymphoma Ramos cells transcribed much lower amounts of either transcript than the activated B cell-like diffuse large B cell lymphoma (DLBCL) HBL-1 cells, whereas Burkitt's lymphoma Raji and germinal centre B cell-like DLBCL OCI-Ly1 cells were intermediate (Figure 3C). Also intermediate were monocytic THP-1 cells, which were also used for comparison (Figure 3C).

As with analysis of RNA-seq data, the steady-state ratios of the two forms between the various cell lines varied by at least one order of magnitude when analysed by qRT-PCR, with OCI-Ly1 expressing more CD274-L2A than variant 1 (Figure 3C). Both variants were weakly and comparably responsive to IFN-α stimulation (Figure 3C). Notably, however, expression of the two forms was strongly, but not always equally, responsive to IFN-γ stimulation. Indeed, IFN-γ stimulation-induced expression predominantly of variant 1 in THP-1 cells and of the CD274-L2A variant in Ramos cells (Figure 3C).

As copy number, as well as transcriptional regulation of the CD274 gene may be altered in cancer cell lines, particularly in leukaemias (Green et al., 2010; Rosenwald et al., 2003; Wessendorf et al., 2007), we next investigated variant 1 and CD274-L2A expression in healthy immune cells. For this purpose, we used RNA-seq data (SRP045500), generated from human primary leukocyte subsets isolated from peripheral blood of healthy individuals and those with sepsis, Amyotrophic Lateral Sclerosis (ALS), Type 1 Diabetes (T1D), or Multiple Sclerosis (MS) (Linsley et al., 2014). Sepsis is associated with elevated serum levels of IFNs (Schulte et al., 2013) and MS patients are treated with recombinant IFN-β, allowing analysis of the in vivo effect of IFNs on PD-L1 variant 1 and CD274-L2A expression. B cells expressed moderate levels of either isoform in healthy individuals and upregulated CD274-L2A expression in 1epsis (Figure 3D). Expression of variant 1 and CD274-L2A followed a similar pattern in monocytes and neutrophils, although expression of both isoforms was on average 10-times higher in neutrophils than monocytes or B cells (Figure 3D). Both monocytes and neutrophils displayed strongly elevated expression of variant 1 and CD274-L2A following IFN-β treatment of MS patients, with monocytes expressing the two variants at nearly equal levels (Figure 3D). In contrast, expression of CD274-L2A was disproportionately reduced in monocytes and neutrophils isolated from sepsis patients, in comparison with the same cell types from healthy individuals, whereas expression of variant 1 remained elevated (Figure 3D). As a result, the ratio of variant 1 to CD274-L2A was elevated in monocytes and neutrophils from sepsis patients (32 and 34, respectively), in comparison with B cells from the same patients, where it was inverted (0.6) (p≤0.004, one-way ANOVA). Together, these data highlighted a certain degree of independent regulation of the two transcript variants, as opposed to a fixed rate of aberrant splicing creating the CD274-L2A isoform as a by-product of the canonical variant 1, particularly following IFN stimulation in vitro and in vivo.

CD274-L2A protein product lacks suppressive activity

To investigate the possible biological function that might account for the evolutionary conservation of the CD274-L2A transcript features in hominids, as well as its transcriptional regulation, we first examined the suppressive activity of its protein product. To obtain a source of CD274-L2A-derived sPD-L1 free from exPD-L1 or other potential sPD-L1 forms, we transduced murine B-3T3 cells (which naturally lack the CD274 gene) and HEK293T cells (which do not express their endogenous CD274 gene) with a CD274-L2A-expressing retroviral vector. Both B-3T3.CD274-L2A and HEK293T.CD274-L2A cell lines produced readily detectable levels of sPD-L1 at 10–40 times higher amounts than those detected by ELISA in supernatants of IFN-γ stimulated HBL-1 cells (Figure 4A; Figure 3—figure supplement 2A). Importantly, supernatants of IFN-γ stimulated HBL-1 cells contained predominantly exPD-L1, production of which was blocked by GW4869, a neutral sphingomyelinase inhibitor that blocks exosome generation, or by siRNA-mediated knockdown of HGS (Figure 3—figure supplement 2), which regulates endosomal transport and exosome formation (Colombo et al., 2013; Sun et al., 2016; Tamai et al., 2010). In contrast, sPD-L1 produced by HEK293T.CD274-L2A cells was not affected by these treatments (Figure 3—figure supplement 2). Moreover, sPD-L1 in the supernatant of CD274-L2A-transfected cells migrated close to its theoretical molecular weight of 28 kDa under reducing gel electrophoresis conditions, but appeared multimerised under native conditions, independently of the type of cell line, in which it was produced (Figure 4B). Multimerisation of sPD-L1 seen here is in agreement with recent findings (Mahoney et al., 2019), albeit the multimer in our study had a molecular weight consistent with a tetramer, rather than a dimer.

Figure 4 with 1 supplement see all
Download asset Open asset
CD274-L2A-derived soluble PD-L1 is not immunosuppressive.

(A) Quantification of soluble PD-L1 by ELISA in supernatants of B-3T3 and HEK293T cells retrovirally transduced with CD274-L2A. Mean (± SEM) concentration from three independent experiments are shown. (B) Coomassie Brilliant Blue stain, under native or reducing (β-ME/SDS) PAGE conditions, of serum-free supernatants from HEK293T, CHO and B3 cells transfected or not with CD274-L2A. (C–D) Primary CD8+ T cells were labelled with CTV and stimulated with CD3- and CD28-coated beads for 72 hr, alone or co-cultured with HEK293T, HEK293T.CD274v1 or HEK293T.CD274-L2A cells transfected with the indicated amount of plasmid DNA. T cells were stained for intracellular GzmB at the end of the culture period. Representative histograms and scatter plots are shown in C; quantification of CTVlo and GzmB+ cells of three healthy donors according to the amount of transfected plasmid DNA is shown in D. (E) Percentage of activated (CD25+CD69+) Jurkat cells in the presence of conditioned media from parental HBL-1 cells, IFN-γ-stimulated HBL-1 cells, parental B-3T3 cells or B-3T3.CD274-L2A transduced cells. Cells were stimulated with CD3- and CD28-coated beads for 24 hr, with 10 µg/mL of a PD-L1-blocking antibody added where indicated. Mean (± SEM) proportion from three independent experiments are shown. (F) Percentage of activated (CD25+CD69+) Jurkat.PDCD1 cells after co-cultured with parental HEK293T, HEK293T.CD274v1, or HEK293T.CD274-L2A cells. Cells were stimulated with CD3- and CD28-coated beads for 24 hr, with 10 µg/mL of a PD-L1-blocking antibody added where indicated. Mean (± SEM) proportion from three independent experiments are shown.

To test the potential immunosuppressive activity of CD274-L2A-derived sPD-L1, we activated primary CD8+ T cells isolated from healthy donors with CD3- and CD28-coated beads in conditioned media from HEK293T.CD274-L2A or control HEK293T cells. Under these conditions, no effect of CD274-L2A-derived sPD-L1 could be measured on either proliferation or granzyme B (GzmB) production of stimulated CD8+ T cells (Figure 4C,D). In contrast, incubation with HEK293T cells transduced with full-length PD-L1-encoding CD274 variant 1 (HEK293T.CD274v1), expectedly and significantly suppressed CD8+ T cell activation (Figure 4C,D).

To extend these observations, we used Jurkat T cells, which we activated with CD3- and CD28-coated beads. Again, CD274-L2A-derived sPD-L1 produced in B-3T3 cells had no measureable effect on Jurkat T cell expression of CD25 or CD69 (Figure 4E). In contrast, Jurkat T cell activation was considerably reduced by addition of conditioned media from HBL-1 cells in a PD-L1-dependent and exosome generation-dependent way (Figure 4E; Figure 3—figure supplement 2).

As Jurkat T cells express minimal amounts of PD-1 prior to activation, we increased the sensitivity of PD-L1-mediated suppression in this system by stably overexpressing PD-1 in these cells. Jurkat T cells retrovirally transduced with PD-1-encoding PDCD1 (Jurkat.PDCD1) exhibited high levels of surface PD-1, assessed by flow cytometry, and correct membrane localisation, assessed by immunofluorescence (Figure 4—figure supplement 1). Co-culture with HEK293T.CD274v1 displaying membrane-bound PD-L1 significantly reduced activation of Jurkat.PDCD1 cells by CD3 and CD28 stimulation in a PD-L1-dependent manner (Figure 4F). Under the same conditions, incubation of Jurkat.PDCD1 cells with CD274-L2A-derived sPD-L1 produced in HEK293T cells had no impact on their response to CD3 and CD28 stimulation (Figure 4F). Therefore, no suppressive activity could be demonstrated for the native CD274-L2A protein product under any of the conditions we have studied.

CD274-L2A produces a natural PD-1 antagonist

Although the CD274-L2A protein product had no demonstrable suppressive activity in the assays employed here, it nevertheless contained intact PD-1-binding domains. We therefore considered the possibility that binding of CD274-L2A-derived sPD-L1 to PD-1 did not initiate suppressive signalling, but instead antagonised binding of the membrane-bound suppressive form of PD-L1.

To test this hypothesis directly, we activated healthy donor primary CD8+ T cells with CD3 and CD28 stimulation and suppressed this activation with membrane-bound PD-L1 provided by HEK293T.CD274v1 cells (Figure 5A). As expected, this PD-L1-mediated suppression was fully restored upon addition of anti-PD-L1 antibodies (Figure 5A). Surprisingly, addition of conditioned media from HEK293T.CD274-L2A was also able to fully restore responsiveness of primary CD8+ T cells to CD3 and CD28 stimulation (Figure 5A). These data suggested that CD274-L2A-derived sPD-L1 acted as a PD-1 antagonist, blocking the suppressive action of membrane-bound PD-L1 as efficiently as an anti-PD-L1 antibody.

Figure 5 with 2 supplements see all
Download asset Open asset
CD274-L2A-derived soluble PD-L1 acts as a receptor antagonist in the presence of transmembrane PD-L1.

(A) Primary CD8+ T cells were labelled with Cell Trace Violet (CTV) and stimulated with CD3- and CD28-coated beads for 72 hr. T cells were co-cultured with parental HEK293T or HEK293T.CD274v1 transfected cells in the presence of conditioned media from HEK293T.CD274-L2A transduced cells or a PD-L1-blocking antibody. Mean (± SEM) proportion of CTVlo and GzmB+ cells of three healthy donors is shown. (B) Percentage of activated (CD25+CD69+) Jurkat cells in the presence of conditioned media from parental HBL-1 cells, IFN-γ-stimulated HBL-1 cells, and transduced B-3T3.CD274-L2A cells. Cells were stimulated with CD3- and CD28-coated beads for 24 hr, with 10 µg/mL of a PD-L1-blocking antibody added where indicated. Mean (± SEM) proportion from three independent experiments are shown. (C) Percentage of activated (CD25+CD69+) Jurkat.PDCD1 cells in the presence of conditioned media from parental HBL-1 cells, IFN-γ-stimulated HBL-1 cells, and transduced HEK293T.CD274-L2A cells. Cells were stimulated with CD3- and CD28-coated beads for 24 hr, with 10 µg/mL of a PD-L1-blocking antibody added where indicated. Mean (± SEM) proportion from three independent experiments are shown. (D) Percentage of activated (CD25+CD69+) Jurkat.PDCD1 cells following co-culture with parental HEK293T or HEK293T.CD274v1 transfected cells in the presence of conditioned media from HEK293T.CD274-L2A or a PD-L1-blocking antibody. Cells were stimulated with CD3- and CD28-coated beads for 24 hr. Mean (± SEM) proportion from three independent experiments are shown. (E) Percentage of activated (CD25+CD69+) Jurkat.PDCD1 cells following co-culture with HEK293T cells transfected with varying ratios of CD274v1 and CD274-L2A as shown. The concentration of the CD274v1 plasmid is kept constant across all conditions at 1000 ng. Cells were stimulated with CD3- and CD28-coated beads for 24 hr. Mean (± SEM) proportion from three independent experiments are shown.

These observations were repeated when the response of Jurkat T cells to CD3 and CD28 stimulation was suppressed by exPD-L1 produced by IFN-γ stimulated HBL-1 cells (Figure 5B). This activity in the supernatant of HBL-1 cells depended on exosome generation (Figure 3—figure supplement 2) and was blocked by anti-PD-L1 antibodies (Figure 5B). Again, the addition of CD274-L2A-derived sPD-L1, produced in B-3T3 cells fully restored the response of Jurkat T cells to CD3 and CD28 stimulation in the presence of HBL-1-produced exPD-L1 (Figure 5B). Comparable results were also obtained when HBL-1-produced exPD-L1 was used to suppress the response of Jurkat.PDCD1 cells to CD3 and CD28 stimulation, which again was restored by CD274-L2A-derived sPD-L1, produced in HEK293T cells, as efficiently as by an anti-PD-L1 antibody (Figure 5C). Moreover, CD274-L2A-derived sPD-L1, produced in HEK293T cells, was also able to block the suppression of CD3 and CD28 stimulated Jurkat.PDCD1 cells by membrane-bound PD-L1 provided by HEK293T.CD274v1 cells (Figure 5D).

These experiments demonstrated that the CD274-L2A protein product displayed PD-1 antagonism, blocking the suppressive activity of full-length PD-L1 bound on the membranes of intact cells or exosomes. However, the relative ratios of membrane-bound PD-L1 and CD274-L2A-derived sPD-L1 in these assays are likely to differ from those suggested by the RNA-seq data analysis. To examine whether CD274-L2A-derived sPD-L1 can block the suppressive activity of membrane-bound PD-L1 at defined physiological ratios of the two forms, we used a co-expression approach. We constructed expression plasmids expressing either the CD274 variant 1 (CD274v1) or CD274-L2A, which we transfected into HEK293T cells. Transfection with CD274v1 alone increased the surface levels of PD-L1 in a dose-dependent manner, without generating detectable sPD-L1 (Figure 5—figure supplement 1), arguing against proteolytic processing of the full-length PD-L1 into smaller, soluble products. In contrast, transfection with CD274-L2A alone increased, in a dose-dependent manner, the levels of sPD-L1 detected by ELISA in the supernatant of HEK293T cells, without any increase in surface PD-L1 (Figure 5—figure supplement 1). We then co-transfected the two plasmids at different ratios. Of note, co-transfection with CD274v1 did not affect the surface expression of PD-L1 derived from CD274v1 transfection (Figure 5—figure supplement 2). Importantly, co-transfection with CD274-L2A reversed the suppressive effect of CD274v1-derived membrane-bound PD-L1 when HEK293T cells were co-cultured with CD3 and CD28 stimulated Jurkat.PDCD1 cells (Figure 5E). Collectively, these demonstrate that the CD274-L2A protein product is a natural PD-1 antagonist, which allows T cells to overcome PD-L1-mediated suppression and achieve maximal activation.

In order to examine the biological activity for sPD-L1 in vivo, we used a murine tumour model, based on transplantation of MCA-38 colon adenocarcinoma cells, which is responsive to PD-1 or PD-L1 blockade (Gong et al., 2019). As murine MCA-38 cells do not produce sPD-L1 (Figure 2—figure supplement 1B), we transduced them to produce either human sPD-L1, encoded by human CD274-L2A, or a chimeric sPD-L1, consisting of the murine sequence encoded by the murine exons 1–4, followed by the human 18 C-terminal amino acids, encoded by the retained part of human intron 4 and L2A element. The human sPD-L1 was chosen on the basis of its reported ability to bind murine PD-1, also in the context of the MCA-38 tumour model (Fenwick et al., 2019; Huang et al., 2017). Transduced MCA-38 cell lines produced murine or human sPD-L1, detectable in cell supernatant by species-specific ELISAs, respectively, and exhibited in vitro growth kinetics comparable to MCA-38 cells transduced with a GFP-encoding vector (Figure 6—figure supplement 1A,B). When subcutaneously transplanted into immunocompetent mice, expression of either murine or human sPD-L1 significantly delayed the growth kinetics of MCA-38 tumours, which was reflected in the tumour masses at the end of the observation period (Figure 6A,B). This effect on tumour growth was comparable to the effect of anti-PD-L1 blockade (Figure 6A,B), indicating in vivo activity of sPD-L1 as an antagonist of the PD-1 – PD-L1 axis.

Figure 6 with 1 supplement see all
Download asset Open asset
CD274-L2a-derived soluble PD-L1 delays in vivo tumour growth.

(A–B) Tumour growth following subcutaneous inoculation of 1 × 106 MCA-38 cells expressing human sPD-L1 (MCA-38.hCD274-L2A), a constructed murine sPD-L1 variant (MCA-38.mCd274-L2A) or GFP. One group of recipient mice was treated with anti-PD-L1 antibodies. Mean tumour volumes (± SEM) throughout the experiment (A) and tumour weights at endpoint (B) of 4 mice per group are plotted from one representative of two experiments.

Discussion

EREs represent a dynamic source of genetic diversity, providing substrates for the evolution of novel host functions, including those of immune genes (Burns and Boeke, 2012; Feschotte and Gilbert, 2012; Kassiotis and Stoye, 2016). For example, a HERV integration upstream of the CD5 gene initiates an alternative transcript in healthy B cells that omits the signal peptide-encoding first exon of the canonical transcript, resulting in an intracellularly retained form of the otherwise transmembrane CD5 protein (Renaudineau et al., 2005). Differential initiation by the HERV integration or the canonical promoter therefore regulates transmembrane CD5 expression (Renaudineau et al., 2005).

Here, we provided another example where ERE exonisation truncates a transmembrane immune protein, thereby regulating its function. Exonisation of an intronic L2A element generates a 3’ truncated CD274 transcript, omitting the transmembrane domain-encoding sequence and producing secreted sPD-L1. Secreted forms of sPD-L1 with both Ig-like domains or only the Ig-like V-type domain intact can also be produced by CD274 splice variant 9 and variants 3/12, respectively. However, these variants were infrequently expressed in our sample collection and were also comparably infrequently expressed in independently analysed cohorts (Gong et al., 2019). Moreover, cell-free forms of PD-L1 were not detected in cells overexpressing exclusively the full-length CD274 transcript, arguing against proteolytic cleavage as a major source of sPD-L1. Together, these observations indicate CD274-L2A as the predominant source of sPD-L1, at least in the majority of tumour and healthy samples.

Supporting CD274-L2A as the main source of sPD-L1 in humans is the observation that laboratory mice, in which sPD-L1 has not been described, have lost the ability to generate the equivalent Cd274-L2A transcript. The features necessary to generate the CD274-L2A variant are remarkably evolutionarily conserved in humans and all other hominids. In stark contrast, these features seem to have taken a different evolutionary trajectory in the common ancestor of mice, rats, and hamsters, where there has been apparent selection to prevent exonisation of the intronic L2A element by strengthening the canonical splice site and removing the polyadenylation signal in this element.

The exaptation of L2A element in the generation of sPD-L1 in humans likely extends beyond the provision of an alternative terminal exon, omitting the transmembrane domain. In contrast to all other splice variants that could also produce sPD-L1, CD274-L2A also omits the canonical 3’ UTR, with important consequences for its regulation. PD-L1 is constitutively expressed in a wide variety of hematopoietic and non-hematopoietic cells and can be strongly induced by IFNs and other inflammatory cytokines in autoimmunity, infection, or cancer (Sharpe and Pauken, 2018). Balancing positive regulation by inflammatory stimuli, PD-L1 production is controlled post-transcriptionally by regulatory elements the full-length CD274 mRNA (Coelho et al., 2017). Indeed, binding of tristetraprolin (TTP) to AU-rich elements (ARE) in 3’ UTR of the CD274 mRNA decreases its stability, thereby reducing surface PD-L1 expression, a mechanism that is counteracted by oncogenic RAS mutations (Coelho et al., 2017). The importance of this regulatory region is also illustrated in frequent CD274 3’ UTR structural variants found in many cancers, causing elevated surface PD-L1 expression in cancer cells (Kataoka et al., 2016). Lack of an ARE in CD274-L2A, as well as in the other two CD274 variants described here, which use a terminal ERE instead on the canonical 3’UTR, would render them resistant to the destabilising effect of TTP. Differential post-transcriptional regulation according to the presence of the ARE could, in principle, explain the often disparate expression of full-length CD274 and CD274-L2A in different types of healthy and transformed cells. Alternatively, differential full-length CD274 and CD274-L2A expression might result from the activity of a specific splicing factor, identification of which will require further investigation.

The critical immune suppressive role for full-length PD-L1, bound on the membrane of cells or exosomes, is amply demonstrated both in animal models, where genetic deficiency or antibody blockade results in severe phenotypes, and in the success of cancer immunotherapy based on blockade of the PD-L1 – PD-1 interaction (Chamoto et al., 2017; Chen et al., 2018; Francisco et al., 2010; Sharpe and Pauken, 2018; Sun et al., 2018). However, the biological activity of membrane-free sPD-L1 had remained puzzling.

Early studies using recombinant sPD-L1 suggested an immune suppressive role either in inhibiting T cell activation or in promoting T cell apoptosis (Chinnadurai et al., 2014; Frigola et al., 2011). More recent studies using recombinant proteins encoded by CD274-L2A (Hassounah et al., 2019;Mahoney et al., 2019) or variants 9 and 3/12 (Zhou et al., 2017), also suggested a T cell inhibitory activity for sPD-L1, comparable to or higher than that of the full-length protein. However, the reported activity might not reflect that of the natural sPD-L1 protein, but rather of the artificial Fc fusion that was used in the majority of these studies (Chinnadurai et al., 2014; Frigola et al., 2011; Hassounah et al., 2019; Zhou et al., 2017). Indeed, fusion to Fc is likely to affect the valency of sPD-L1 and may even be presented in a membrane-bound from through binding to Fc receptors. In some of these studies, the sPD-L1-Fc fusion was presented in a plate-bound form (Chinnadurai et al., 2014), which again would not reflect the soluble nature of the natural molecule. The commercially available recombinant sPD-L1-Fc fusions used in some of these studies are marketed as suppressive molecules. Nevertheless, it is interesting to note that at least two reports using the same sPD-L1-Fc fusions found that they can promote, rather than suppress, T cell activation in the presence of APCs (Steidl et al., 2011; Wan et al., 2006) – an effect that is likely explained by receptor antagonism.

Mahoney et al., recently demonstrated that human sPD-L1, encoded by CD274-L2A and produced by transfection of murine cells, naturally forms dimers and higher-order multimers and that a His-tagged recombinant version, when used at 10–20 µg/ml, can suppress T cell activation in response to CD3 stimulation (Mahoney et al., 2019). We also observed multimeric forms of sPD-L1 produced in human cells, although these were consistent with tetramers, rather than dimers. Intrinsic disparities in producing cell lines (e.g. glycosylation patterns), might account for the observed differences in molecular size of any multimer or, indeed, the monomer, which appeared smaller and closer to the theoretical size of 28 kDa in our study. Nevertheless, in none of the multiple conditions, we tested did we observe suppression of T cell activation, using more physiological concentrations (1–2 ng/ml) of sPD-L1 produced in murine or human cells. Similarly, no PD-L1-mediated suppressive activity could be demonstrated by independent studies of cell-free, non-exosomal fractions (Chen et al., 2018), or of the natural product of CD274 variant 9, even at 2 µg/ml (Gong et al., 2019).

The consensus from these studies is that CD274-L2A-encoded sPD-L1, whilst retaining PD-1 binding activity, lacks suppressive activity. Such properties are consistent with a receptor antagonist role and, indeed, our data clearly demonstrate the ability of CD274-L2A-encoded sPD-L1 to reverse T cell suppression mediated by membrane-bound PD-L1, both cellular and exosomal. The generation of receptor antagonist sPD-L1 by alternative splicing is not only at the expense of the canonical transcript encoding the agonist; it additionally offers a means of producing the antagonist without first producing the agonist, as would be the case with proteolytic cleavage.

Antagonistic activity by sPD-L1 is reminiscent of a growing number of membrane-bound cytokines as well as co-stimulatory or co-inhibitory molecules and their receptors, whose soluble versions assume a blocking or antagonist function (Bemelmans et al., 2017; Dinarello, 1998; Gu et al., 2018; Guégan and Legembre, 2018; Zhu and Lang, 2017). Although soluble forms of many of these molecules are thought to be produced by proteolytic cleavage of the membrane-bound forms, many others are produced by alternatively spliced mRNAs (Gu et al., 2018). These include soluble PD-1, soluble CTLA-4, and soluble CD80, all of which are produced by alternative transcript variants that omit their respective transmembrane domain-encoding exons (Kakoulidou et al., 2007; Magistrelli et al., 1999; Nielsen et al., 2005). Generation of soluble forms of several co-inhibitory molecules underscores their broader involvement in immune regulation, but also the complexity of their interconnected pathways. Whilst certainly not acting alone, the evolutionary conservation of sPD-L1 production in humans suggests it is an important contributor to the regulation of PD-L1 activity.

Membrane-bound PD-L1 can be antagonised also by in cis binding to CD80, both in human and murine dendritic cells (Sugiura et al., 2019), and sPD-1 has long been hypothesised to function as a decoy receptor, reducing availability of membrane-bound PD-L1 (Zhu and Lang, 2017). Moreover, sPD-L1 can interfere with the effect of anti-PD-L1 immunotherapy. Indeed, tumours harbouring mutations in the TDP-43 splicing factor from two non-small cell lung cancer patients have recently been shown to overproduce sPD-L1 encoded by CD274 variant 9 or an alternative splice variant omitting exons 5 and 6, which can act as a decoy for PD-L1-targeting antibodies, thereby reducing the effect of immunotherapy (Gong et al., 2019).

Complex and context-dependent regulation would be expected for a regulatory pathway as important as the PD-L1 – PD-1 axis, the individual components of which are still emerging. Their careful dissection in new animal models will illuminate both their relative contribution to the regulation of the pathway, as well as the distinct evolutionary trajectories that can achieve the same outcome.

Materials and methods

Key resources table
Reagent type
(species) or
resource		DesignationSource or referenceIdentifiersAdditional
information
Genetic reagent (Mus musculus)C57BL/6JThe Jackson LaboratoryRRID: IMSR_JAX:000664
Cell line (Homo sapiens)HEK293TCell Services Facility, Francis Crick InstituteRRID: CVCL_0063
Cell line (Homo sapiens)JurkatCell Services Facility, Francis Crick InstituteRRID: CVCL_0065
Cell line (Chlorocrbus sabaeus)VeroCell Services Facility, Francis Crick InstituteRRID: CVCL_0059
Cell line (Chlorocebus aethiops)CV-1Cell Services Facility, Francis Crick InstituteRRID: CVCL_0229
Cell line (Oryctolagus cuniculus)R9abCell Services Facility, Francis Crick InstituteRRID: CVCL_3782
Cell line (Cricetulus griseus)CHOCell Services Facility, Francis Crick InstituteRRID: CVCL_0213
Cell line (Mus musculus)B-3T3Cell Services Facility, Francis Crick InstituteRRID: CCL-163
Cell line (Mus musculus)EL4Cell Services Facility, Francis Crick InstituteRRID: CVCL_0255
Cell line (Mus musculus)MCA-38Cell Services Facility, Francis Crick InstituteRRID: CVCL_B288
Cell line (Mus musculus)B3Cell Services Facility, Francis Crick InstituteRRID: CVCL_RP56
AntibodyRat monoclonal anti-mouse PD-L1 (clone 10F.9G2)Biolegend (FACS), BioXCell (in vivo)Cat: 124315 (Biolegend)
Cat: BE0101 (BioXCell)		FACS (1:200)
In vivo injection (200 ug i.p.)
AntibodyMouse monoclonal anti-human PD-L1 (clone 29E.2A3)Biolegend (FACS)Cat: 329706FACS (1:200)
AntibodyMouse monoclonal anti-human PD-1 (clone EH12.2H7)Biolegend (FACS)Cat: 329908FACS (1:200)
AntibodyMouse monoclonal anti-human CD25 (clone BC96)Biolegend (FACS)Cat: 302642FACS (1:200)
AntibodyMouse monoclonal anti-human CD69 (clone FN50)Biolegend (FACS)Cat: 310906FACS (1:200)
AntibodyMouse monoclonal anti-human CD8 (clone SK1)Biolegend (FACS)Cat: 344710FACS (1:200)
AntibodyMouse monoclonal anti-human Granzyme B (clone QA16A02)Biolegend (FACS)Cat: 372204FACS (1:200)
AntibodyMouse monoclonal anti-human HGS (clone C-7)Santa Cruz (WB)Cat: sc-271455WB (1:1000)
AntibodyHRP-conjugated mouse monoclonal anti-human Actin (clone AC-15)Abcam (WB)Cat: ab49900WB (1:25000)
Chemical compound, drugGW4869Sigma AldrichCat: D1692
Transfected construct (Homo sapiens, Mus musculus)pRV-IRES-GFP (lentiviral vector)This paperLentiviral construct expressing GFP; used as empty vector control
Transfected construct (Homo sapiens, Mus musculus)pRV-CD274-L2A-IRES-GFP (lentiviral vector)This paperLentiviral construct expressing human CD274-L2A
Transfected construct (Mus musculus)pRV-mCd274-L2A-IRES-GFP (lentiviral vector)This paperLentiviral construct expressing murine-human chimeric Cd274-L2A
Transfected construct (Homo sapiens)pRV-PDCD1-IRES-GFP (lentiviral vector)This paperLentiviral construct expressing human PDCD1 (PD-1)
Recombinant DNA reagentpcDNA3.1-CD274 (plasmid)This paperMammalian expression plasmid encoding human CD274
Recombinant DNA reagentpcDNA3.1-CD274-L2A (plasmid)This paperMammalian expression plasmid encoding human CD274-L2A
Recombinant DNA reagentpcDNA3.1-CD274 IS4 (plasmid)This paperMammalian expression plasmid encoding human CD274 with intron 4
Recombinant DNA reagentpcDNA3.1-CD274 IS4ΔL2A (plasmid)This paperMammalian expression plasmid encoding human CD274 with intron four with L2A sequence deleted
Commercial
assay or kit		Human PD-L1 ELISA kitAbcamCat: ab214565
Commercial assay or kitMouse PD-L1 ELISA kitBiomatikCat: EKU06803
Commercial assay or kitRNeasy Mini RNA extraction kitQiagenCat: 74104
Commercial assay or kitHigh Capacity cDNA Reverse Transcription kitApplied BiosystemsCat: 4368814

Mice and tumour challenge

Request a detailed protocol

Inbred C57BL/6J (B6) mice were originally obtained from The Jackson Laboratory and subsequently maintained at the Francis Crick Institute’s animal facilities. Eight- to 12-week-old male mice were used for all experiments, randomly assigned to the different treatment groups. All animal experiments were approved by the ethical committee of the Francis Crick Institute and conducted according to local guidelines and UK Home Office regulations under the Animals Scientific Procedures Act 1986 (ASPA) (licence number: PCD77C6D0). For tumour studies, 1 × 106 MCA-38 derivative cell lines were subcutaneously inoculated into the right flank of recipient mice. Where indicated, mice received intraperitoneal (i.p.) injections of 200 μg anti-PD-L1 (clone 10F.9G2; BioXCell) on days 1, 3, 5, and 7 after tumour inoculation.

Transcript assembly and repeat region annotation

Request a detailed protocol

Transcripts were assembled using RNA-seq reads as previously described (Attig et al., 2019). Briefly, RNA-seq reads from 768 cancer patient samples obtained from The Cancer Genome Atlas (TCGA) program were used to generate a pan-cancer transcriptome by Trinity (Grabherr et al., 2011) (v2.2.0). The transcript assembly was then annotated against GENCODE (basic, version 24) (Frankish et al., 2019). Hidden Markov models (HMMs), representing known Human repeat families (Dfam 2.0 library v150923) were used to annotate GRCh38 using RepeatMasker (www.repeatmasker.org), configured with nhmmer (Wheeler and Eddy, 2013), as previously described (Attig et al., 2017). RepeatMasker annotates LTR and internal regions separately, thus tabular outputs were parsed to merge adjacent annotations for the same element.

Read mapping and counting

Request a detailed protocol

RNA-seq reads were obtained from TCGA, the Genotype-Tissue Expression (GTEx) program, the Cancer Cell Line Encyclopedia (CCLE), and the indicated individual studies and aligned to our custom transcript assembly, as previously described (Attig et al., 2019). Alternatively, reads were aligned to the GENCODE (basic, version 30), with the CD274-L2A transcript replacing the partially overlapping ENST00000474218 transcript. TPM calculations were carried out for all transcripts with a custom Bash pipeline using GNU parallel (Tange, 2011) and Salmon (v0.8.2 or v0.9.2) (Patro et al., 2017). It should be noted that TPM values calculated here using our custom transcript assembly are on average four times lower than those calculated using the previously annotated transcriptome, since an integral part of TPM calculation is division by the total transcript count, which is substantially higher in the former, than in the latter. Splice junction analysis was carried out using the integrated function of the Integrative Genome Viewer (IGV v2.4.19, the Broad Institute). Downstream analysis and visualization was conducted with Qlucore Omics Explorer (Qlucore, Lund, Sweden).

Sequence alignments

Request a detailed protocol

Multiple genomic sequence alignments were carried out using the comparative genomic tool from Ensembl (https://www.ensembl.org/info/genome/compara/multiple_genome_alignments.html) and with Vector NTI (11.5.0). Sequences were downloaded and plotted with Vector NTI or with AliView (1.21) (Larsson, 2014). For sequence divergence of CD274 introns and exons the genomic sequences from the following 10 primate species were compared: Chlorocebus sabaeus, Gorilla gorilla, Homo sapiens, Macaca fascicularis, Macaca mulatta, Pan paniscus, Pan troglodytes, Papio Anubis, Pongo abelii and Theropithecus gelada.

Primary cells

Request a detailed protocol

Peripheral blood was collected from healthy adult volunteers according to protocols approved by the ethics board of The Francis Crick Institute. Peripheral blood mononuclear cells (PBMCs) were freshly isolated by density gradient centrifugation in Ficoll-Paque (VWR) and CD8+ T cells isolated by negative selection using a CD8+ T Cell Isolation Kit (Miltenyi Biotec).

Cell lines

Request a detailed protocol

HEK293T, Jurkat, B-3T3, EL4, MCA-38, CHO, B3, Vero, CV-1 and R9ab cells were obtained from and verified as mycoplasma free by the Cell Services facility at The Francis Crick Institute. Human cell lines were also validated by DNA fingerprinting. All cells were grown in Iscove’s Modified Dulbecco’s Medium (Sigma-Aldrich) supplemented with 5% fetal bovine serum (Thermo Fisher Scientific), L-glutamine (2 mmol/L, Thermo Fisher Scientific), penicillin (100 U/mL, Thermo Fisher Scientific), and streptomycin (0.1 mg/mL, Thermo Fisher Scientific). HEK293T, B-3T3, MCA-38, B3 and Jurkat sublines transduced with CD274v1, CD274-L2A, or PDCD1 were generated by adding viral stocks (as described above) to target cells in the presence of polybrene (4 μg/mL) and sorted based on GFP expression to >98% purity on a S3e Cell Sorter (Propel Labs Inc), 72 hr after transduction. Supernatant PD-L1 levels were measured 48 hr after seeding 5 × 105 sorted cells/ml, using the human PD-L1 ELISA Kit (clone 28–8, Abcam) or the murine PD-L1 ELISA Kit (EKU06803, Biomatik), according to manufacturers’ instructions.

Retroviral and expression vectors

Request a detailed protocol

Open-reading frames encoding truncated human or murine-human chimeric CD274-L2A, and human PDCD1 were synthesized and cloned into the pRV-GFP vector, constructed and kindly provided by Dr. Gitta Stockinger (The Francis Crick Institute, London, UK). Gene synthesis, cloning and mutagenesis were performed by Genewiz LLC and verified by sequencing. Vesicular stomatitis virus glycoprotein (VSVg)-pseudotyped retroviral particles were produced by transfection of HEK293T cells using GeneJuice (EMD Millipore) of vector plasmids with packaging (pHIT60) and VSVg (pcVG-wt) plasmids, kindly provided by Dr. Jonathan Stoye (The Francis Crick Institute, London, UK). Virus-containing supernatants were collected 48 hr post-transfection, passed through a 0.45 μm filter and stored at −80°C until further use. Open-reading frames encoding human full-length CD274 or truncated CD274-L2A, and minigenes comprising the full-length CD274 cDNA with an intact intron 4 (CD274 IS4) or an intron 4 lacking the L2A element (CD274 IS4ΔL2A), were additionally synthesized and cloned into the pcDNA3.1 mammalian expression vector for transient transfection experiments.

Flow cytometry

Request a detailed protocol

Single-cell suspensions were stained for 30 min at room temperature with directly-conjugated antibodies to surface markers. For detection of intracellular antigens subsequent to surface staining, cells were fixed and permeabilised using the Foxp3/Transcription Factor Staining Buffer Set (Thermo Fisher Scientific) according to the manufacturer’s instructions. The following antibodies were used: BV421-labelled mouse PD-L1 (clone 10F.9G2; Biolegend), PE-labelled human PD-L1 (clone 29E.2A3; Biolegend), APC-labelled human PD-1 (EH12.2H7; Biolegend), PE-Cy5-labelled or APC Fire 750-labelled human CD25 (BC96; Biolegend), PE-labelled human CD69 (FN50; Biolegend), APC Annexin V (Biolegend), PerCP-Cy5.5-labelled human CD8 (SK1; Biolegend), and APC-labelled human Granzyme B (QA16A02; Biolegend). Multicolour cytometry data were acquired on a LSR Fortessa (BD Biosciences) running BD FACSDiva v8.0 and analysed with FlowJo v10 (Tree Star Inc) analysis software.

T cell suppression assays

Request a detailed protocol

CD8+ T cells were labelled with Cell Trace Violet (CTV) (Thermo Fisher Scientific) for 20 min and rested overnight before being stimulated for 72 hr with CD3/CD28 Dynabeads (Thermo Fisher Scientific). Jurkat.PDCD1 cells were stimulated for 24 hr with CD3/CD28 Dynabeads (Thermo Fisher Scientific). Primary or cell line T cells were co-cultured with HEK293T cells transfected with pcDNA3.1-CD274v1 or pcDNA3.1-CD274-L2A as indicated. Conditioned media from HEK293T.CD274-L2A cells, parental HEK293T cells, B-3T3.CD274-L2A cells, parental B-3T3 cells, IFN-γ-stimulated HBL-1 cells, parental HBL-1 cells, or 10 μg/mL ultra-LEAF anti-human PD-L1 antibody (29E.2A3, Biolegend) were added as indicated.

Exosome inhibition

Request a detailed protocol

5 × 105 HEK293T.CD274-L2A cells were grown in the presence of 10 μM GW4869 (Sigma-Aldrich) or DMSO control, or were transfected with varying concentrations of HGS siRNA (Insight Biotechnology). Supernatant was collected after 48 hr and PD-L1 quantified by ELISA according to the manufacturer’s instructions (Abcam). HGS knockdown was assessed by western blot using anti-human HGS monoclonal antibody (Insight Biotechnology) and HRP-conjugated anti-beta actin (Abcam).

Fluorescence microscopy

Request a detailed protocol

Cell lines were fixed in 4% paraformaldehyde and stained for 30 min at room temperature with PD-1 primary antibody (EH12.2H7, Biolegend) followed by 1 hr at room temperature with goat anti-mouse Alexa Fluor 647 secondary antibody (Thermo Fisher Scientific) and DAPI (Thermo Fisher Scientific). Cells were mounted in VectaShield mounting medium (Agilent) and imaged on an inverted LSM880 confocal microscope (Carl Zeiss AG).

In vitro proliferation

Request a detailed protocol

6 × 103 cells were seeded in triplicate in a flat-bottom 96-well plate and phase contrast microscopy was used to monitor cell growth on the IncuCyte S3 imaging system (EssenBioScience). Images were collected every 3 hr for 72 hr, and cell proliferation measured using the confluence image mask.

Quantitative reverse transcriptase-based PCR (qRT-PCR)

Request a detailed protocol

2 × 106 cells were stimulated with 100 ng/mL IFN-α or IFN-γ (Abcam) for 48 hr or used untreated. Total RNA from cell lines was isolated using the QIAcube (Qiagen), and cDNA synthesis was carried out with the High Capacity Reverse Transcription Kit (Applied Biosystems) with an added RNase inhibitor (Promega). Purified cDNA was used to quantify CD274v1 and CD274-L2A using variant-specific primers.

For both variants in all species, the following common forward primer located in a conserved region of exon four was used:

Common primer | F: TACAGCTGAATTGGTCATCCCA.

The variant-specific reverse primers for human variants were:

CD274v1 | R: TCAGTGCTACACCAAGGCAT

CD274-L2A | R: AGGCAGACATCATGCTAGGTG

The variant-specific reverse primers for African green monkey variants were:

CD274v1 | R: TCAGTGCTACACCAAGGAGT

CD274-L2A | R: AGGCAGACATCATGCTAGGTG

The variant-specific reverse primers for leporine variants were:

CD274v1 | R: TGAATGCTACACCAAGGAAC

CD274-L2A | R: ATGATGAATATTTACTAGGTG

The variant-specific reverse primers for murine variants were:

CD274v1 | R: TGGACACTACAATGAGGAAC

CD274-L2A | R: GGATGGCCATCGTGCTAGGAA

For amplification of a conserved house-keeping gene, the following HPRT-specific primers were used in all species:

HPRT | F: TGACACTGGCAAAACAATGCA; R: GGTCCTTTTCACCAGCAAGCT

Values were normalised to HPRT expression using the ΔCT method.

Native and denaturing polyacrylamide gel electrophoresis (PAGE)

Request a detailed protocol

HEK293T, CHO and B3 cells were transiently transfected with pcDNA3.1-CD274-L2A in serum-free media. Supernatants from transfected and untransfected cells were centrifuged at 14,000 rpm for 30 min at 4°C and pellets were resuspended in sample loading buffer with or without SDS and 2-mercaptoethanol (β-ME) and heat denaturation. Samples were run on a 4–20% polyacrylamide gel by native or SDS-PAGE, stained with Coomassie Brilliant Blue overnight and visualized on an Amersham Imager 600 (GE Healthcare).

Statistical analyses

Request a detailed protocol

Statistical comparisons were made using GraphPad Prism 7 (GraphPad Software) or SigmaPlot 14.0. Parametric comparisons of normally distributed values that satisfied the variance criteria were made by unpaired Student’s t-tests or One Way Analysis of variance (ANOVA) tests. Data that did not pass the variance test were compared with non-parametric two-tailed Mann–Whitney Rank Sum tests or ANOVA on Ranks tests. p values are indicated by asterisks as follows: *0.01 < p < 0.05; **0.001 < p < 0.01; ***0.0001 < p < 0.001; ****p<0.0001. Hierarchical clustering and heatmap production were performed with Qlucore Omics Explorer 3.3 (Qlucore).

Data availability

All data generated or analysed during this study are included in the manuscript and supporting files. Source data files have been provided for Figure 1G, Figure 1—figure supplement 3, and Figure 3B.

The following previously published data sets were used
    1. Linsley PC
    2. Speake C
    3. Whalen E
    4. Chaussabel D
    (2014) European Nucleotide Archive
    ID SRP045500. Next generation sequencing of human immune cell subsets across diseases.
    https://www.ebi.ac.uk/ena/data/view/PRJNA258216

References

    1. Lander ES
    2. Linton LM
    3. Birren B
    4. Nusbaum C
    5. Zody MC
    6. Baldwin J
    7. Devon K
    8. Dewar K
    9. Doyle M
    10. FitzHugh W
    11. Funke R
    12. Gage D
    13. Harris K
    14. Heaford A
    15. Howland J
    16. Kann L
    17. Lehoczky J
    18. LeVine R
    19. McEwan P
    20. McKernan K
    21. Meldrim J
    22. Mesirov JP
    23. Miranda C
    24. Morris W
    25. Naylor J
    26. Raymond C
    27. Rosetti M
    28. Santos R
    29. Sheridan A
    30. Sougnez C
    31. Stange-Thomann Y
    32. Stojanovic N
    33. Subramanian A
    34. Wyman D
    35. Rogers J
    36. Sulston J
    37. Ainscough R
    38. Beck S
    39. Bentley D
    40. Burton J
    41. Clee C
    42. Carter N
    43. Coulson A
    44. Deadman R
    45. Deloukas P
    46. Dunham A
    47. Dunham I
    48. Durbin R
    49. French L
    50. Grafham D
    51. Gregory S
    52. Hubbard T
    53. Humphray S
    54. Hunt A
    55. Jones M
    56. Lloyd C
    57. McMurray A
    58. Matthews L
    59. Mercer S
    60. Milne S
    61. Mullikin JC
    62. Mungall A
    63. Plumb R
    64. Ross M
    65. Shownkeen R
    66. Sims S
    67. Waterston RH
    68. Wilson RK
    69. Hillier LW
    70. McPherson JD
    71. Marra MA
    72. Mardis ER
    73. Fulton LA
    74. Chinwalla AT
    75. Pepin KH
    76. Gish WR
    77. Chissoe SL
    78. Wendl MC
    79. Delehaunty KD
    80. Miner TL
    81. Delehaunty A
    82. Kramer JB
    83. Cook LL
    84. Fulton RS
    85. Johnson DL
    86. Minx PJ
    87. Clifton SW
    88. Hawkins T
    89. Branscomb E
    90. Predki P
    91. Richardson P
    92. Wenning S
    93. Slezak T
    94. Doggett N
    95. Cheng JF
    96. Olsen A
    97. Lucas S
    98. Elkin C
    99. Uberbacher E
    100. Frazier M
    101. Gibbs RA
    102. Muzny DM
    103. Scherer SE
    104. Bouck JB
    105. Sodergren EJ
    106. Worley KC
    107. Rives CM
    108. Gorrell JH
    109. Metzker ML
    110. Naylor SL
    111. Kucherlapati RS
    112. Nelson DL
    113. Weinstock GM
    114. Sakaki Y
    115. Fujiyama A
    116. Hattori M
    117. Yada T
    118. Toyoda A
    119. Itoh T
    120. Kawagoe C
    121. Watanabe H
    122. Totoki Y
    123. Taylor T
    124. Weissenbach J
    125. Heilig R
    126. Saurin W
    127. Artiguenave F
    128. Brottier P
    129. Bruls T
    130. Pelletier E
    131. Robert C
    132. Wincker P
    133. Smith DR
    134. Doucette-Stamm L
    135. Rubenfield M
    136. Weinstock K
    137. Lee HM
    138. Dubois J
    139. Rosenthal A
    140. Platzer M
    141. Nyakatura G
    142. Taudien S
    143. Rump A
    144. Yang H
    145. Yu J
    146. Wang J
    147. Huang G
    148. Gu J
    149. Hood L
    150. Rowen L
    151. Madan A
    152. Qin S
    153. Davis RW
    154. Federspiel NA
    155. Abola AP
    156. Proctor MJ
    157. Myers RM
    158. Schmutz J
    159. Dickson M
    160. Grimwood J
    161. Cox DR
    162. Olson MV
    163. Kaul R
    164. Raymond C
    165. Shimizu N
    166. Kawasaki K
    167. Minoshima S
    168. Evans GA
    169. Athanasiou M
    170. Schultz R
    171. Roe BA
    172. Chen F
    173. Pan H
    174. Ramser J
    175. Lehrach H
    176. Reinhardt R
    177. McCombie WR
    178. de la Bastide M
    179. Dedhia N
    180. Blöcker H
    181. Hornischer K
    182. Nordsiek G
    183. Agarwala R
    184. Aravind L
    185. Bailey JA
    186. Bateman A
    187. Batzoglou S
    188. Birney E
    189. Bork P
    190. Brown DG
    191. Burge CB
    192. Cerutti L
    193. Chen HC
    194. Church D
    195. Clamp M
    196. Copley RR
    197. Doerks T
    198. Eddy SR
    199. Eichler EE
    200. Furey TS
    201. Galagan J
    202. Gilbert JG
    203. Harmon C
    204. Hayashizaki Y
    205. Haussler D
    206. Hermjakob H
    207. Hokamp K
    208. Jang W
    209. Johnson LS
    210. Jones TA
    211. Kasif S
    212. Kaspryzk A
    213. Kennedy S
    214. Kent WJ
    215. Kitts P
    216. Koonin EV
    217. Korf I
    218. Kulp D
    219. Lancet D
    220. Lowe TM
    221. McLysaght A
    222. Mikkelsen T
    223. Moran JV
    224. Mulder N
    225. Pollara VJ
    226. Ponting CP
    227. Schuler G
    228. Schultz J
    229. Slater G
    230. Smit AF
    231. Stupka E
    232. Szustakowki J
    233. Thierry-Mieg D
    234. Thierry-Mieg J
    235. Wagner L
    236. Wallis J
    237. Wheeler R
    238. Williams A
    239. Wolf YI
    240. Wolfe KH
    241. Yang SP
    242. Yeh RF
    243. Collins F
    244. Guyer MS
    245. Peterson J
    246. Felsenfeld A
    247. Wetterstrand KA
    248. Patrinos A
    249. Morgan MJ
    250. de Jong P
    251. Catanese JJ
    252. Osoegawa K
    253. Shizuya H
    254. Choi S
    255. Chen YJ
    256. Szustakowki J
    257. International Human Genome Sequencing Consortium
    (2001) Initial sequencing and analysis of the human genome
    Nature 409:860–921.
    https://doi.org/10.1038/35057062
    1. Tange O
    (2011)
    Gnu parallel: the Command-Line power tool
    The USENIX Magazine 36:42–47.

Article and author information

Author details

  1. Kevin W Ng

    Retroviral Immunology, The Francis Crick Institute, London, United Kingdom
    Contribution
    Data curation, Formal analysis, Investigation, Methodology, Writing—original draft
    Competing interests
    No competing interests declared
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0003-1635-6768

  2. Jan Attig

    Retroviral Immunology, The Francis Crick Institute, London, United Kingdom
    Contribution
    Data curation, Formal analysis, Investigation, Writing—original draft
    Competing interests
    No competing interests declared
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0002-2159-2880

  3. George R Young

    Retrovirus-Host Interactions, The Francis Crick Institute, London, United Kingdom
    Contribution
    Data curation, Formal analysis, Investigation, Writing—original draft
    Competing interests
    No competing interests declared

  4. Eleonora Ottina

    Retroviral Immunology, The Francis Crick Institute, London, United Kingdom
    Contribution
    Investigation
    Competing interests
    No competing interests declared

  5. Spyros I Papamichos

    Department of Haematology, Democritus University of Thrace Medical School, Alexandroupolis, Greece
    Contribution
    Conceptualization, Formal analysis, Investigation
    Competing interests
    No competing interests declared
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0001-7119-0647

  6. Ioannis Kotsianidis

    Department of Haematology, Democritus University of Thrace Medical School, Alexandroupolis, Greece
    Contribution
    Supervision, Project administration
    Competing interests
    No competing interests declared

  7. George Kassiotis

    1. Retroviral Immunology, The Francis Crick Institute, London, United Kingdom
    2. Department of Medicine, Faculty of Medicine, Imperial College London, London, United Kingdom
    Contribution
    Conceptualization, Supervision, Funding acquisition, Writing—original draft, Project administration
    For correspondence
    george.kassiotis@crick.ac.uk
    Competing interests
    No competing interests declared
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0002-8457-2633

Funding

Francis Crick Institute (10099)

  • Kevin W Ng
  • Jan Attig
  • George R Young
  • Eleonora Ottina
  • George Kassiotis

Wellcome (102898/B/13/Z)

  • George Kassiotis

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

Acknowledgements

We are grateful for assistance from the Scientific Computing, Cell Services, Flow Cytometry, Biological Research, High Throughput Screening and Light Microscopy facilities at the Francis Crick Institute. The results shown here are in whole or part based upon data generated by the TCGA Research Network (http://cancergenome.nih.gov). The Genotype-Tissue Expression (GTEx) Project was supported by the Common Fund of the Office of the Director of the National Institutes of Health, and by NCI, NHGRI, NHLBI, NIDA, NIMH, and NINDS. This work benefited from data assembled by the CCLE consortium. This work was supported by the Francis Crick Institute (FC001099), which receives its core funding from Cancer Research UK, the UK Medical Research Council, and the Wellcome Trust; and by the Wellcome Trust (102898/B/13/Z).

Ethics

Human subjects: This study was reviewed and approved by The Francis Crick Institute's Human Ethics Group and all experiments were carried out in accordance with the United Kingdom's Human Tissue Act (2004). All participants provided written informed consent prior to participation in the study.

Animal experimentation: All animal experiments were approved by the ethical committee of the Francis Crick Institute and conducted according to local guidelines and UK Home Office regulations under the Animals Scientific Procedures Act 1986 (ASPA) (licence number: PCD77C6D0).

Copyright

© 2019, Ng et al.

This article is distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use and redistribution provided that the original author and source are credited.

Metrics

  • 5,470
    views
  • 665
    downloads
  • 46
    citations

Views, downloads and citations are aggregated across all versions of this paper published by eLife.

Download links

A two-part list of links to download the article, or parts of the article, in various formats.

Downloads (link to download the article as PDF)

Open citations (links to open the citations from this article in various online reference manager services)

Cite this article (links to download the citations from this article in formats compatible with various reference manager tools)

  1. Kevin W Ng
  2. Jan Attig
  3. George R Young
  4. Eleonora Ottina
  5. Spyros I Papamichos
  6. Ioannis Kotsianidis
  7. George Kassiotis
(2019)
Soluble PD-L1 generated by endogenous retroelement exaptation is a receptor antagonist
eLife 8:e50256.
https://doi.org/10.7554/eLife.50256

Share this article

https://doi.org/10.7554/eLife.50256

Categories and tags

Research organism

Further reading

    1. Chromosomes and Gene Expression
    2. Microbiology and Infectious Disease

    Temporal transcriptional response of Candida glabrata during macrophage infection reveals a multifaceted transcriptional regulator CgXbp1 important for macrophage response and fluconazole resistance

    Maruti Nandan Rai, Qing Lan ... Koon Ho Wong
    Research Article Updated

    Candida glabrata can thrive inside macrophages and tolerate high levels of azole antifungals. These innate abilities render infections by this human pathogen a clinical challenge. How C. glabrata reacts inside macrophages and what is the molecular basis of its drug tolerance are not well understood. Here, we mapped genome-wide RNA polymerase II (RNAPII) occupancy in C. glabrata to delineate its transcriptional responses during macrophage infection in high temporal resolution. RNAPII profiles revealed dynamic C. glabrata responses to macrophages with genes of specialized pathways activated chronologically at different times of infection. We identified an uncharacterized transcription factor (CgXbp1) important for the chronological macrophage response, survival in macrophages, and virulence. Genome-wide mapping of CgXbp1 direct targets further revealed its multi-faceted functions, regulating not only virulence-related genes but also genes associated with drug resistance. Finally, we showed that CgXbp1 indeed also affects fluconazole resistance. Overall, this work presents a powerful approach for examining host-pathogen interaction and uncovers a novel transcription factor important for C. glabrata’s survival in macrophages and drug tolerance.

    1. Chromosomes and Gene Expression
    2. Neuroscience

    Molecular basis of neurodegeneration in a mouse model of Polr3-related disease

    Robyn D Moir, Emilio Merheb ... Ian M Willis
    Research Article

    Pathogenic variants in subunits of RNA polymerase (Pol) III cause a spectrum of Polr3-related neurodegenerative diseases including 4H leukodystrophy. Disease onset occurs from infancy to early adulthood and is associated with a variable range and severity of neurological and non-neurological features. The molecular basis of Polr3-related disease pathogenesis is unknown. We developed a postnatal whole-body mouse model expressing pathogenic Polr3a mutations to examine the molecular mechanisms by which reduced Pol III transcription results primarily in central nervous system phenotypes. Polr3a mutant mice exhibit behavioral deficits, cerebral pathology and exocrine pancreatic atrophy. Transcriptome and immunohistochemistry analyses of cerebra during disease progression show a reduction in most Pol III transcripts, induction of innate immune and integrated stress responses and cell-type-specific gene expression changes reflecting neuron and oligodendrocyte loss and microglial activation. Earlier in the disease when integrated stress and innate immune responses are minimally induced, mature tRNA sequencing revealed a global reduction in tRNA levels and an altered tRNA profile but no changes in other Pol III transcripts. Thus, changes in the size and/or composition of the tRNA pool have a causal role in disease initiation. Our findings reveal different tissue- and brain region-specific sensitivities to a defect in Pol III transcription.

    1. Biochemistry and Chemical Biology
    2. Chromosomes and Gene Expression

    Human DCP1 is crucial for mRNA decapping and possesses paralog-specific gene regulating functions

    Ting-Wen Chen, Hsiao-Wei Liao ... Chung-Te Chang
    Research Article

    The mRNA 5'-cap structure removal by the decapping enzyme DCP2 is a critical step in gene regulation. While DCP2 is the catalytic subunit in the decapping complex, its activity is strongly enhanced by multiple factors, particularly DCP1, which is the major activator in yeast. However, the precise role of DCP1 in metazoans has yet to be fully elucidated. Moreover, in humans, the specific biological functions of the two DCP1 paralogs, DCP1a and DCP1b, remain largely unknown. To investigate the role of human DCP1, we generated cell lines that were deficient in DCP1a, DCP1b, or both to evaluate the importance of DCP1 in the decapping machinery. Our results highlight the importance of human DCP1 in decapping process and show that the EVH1 domain of DCP1 enhances the mRNA-binding affinity of DCP2. Transcriptome and metabolome analyses outline the distinct functions of DCP1a and DCP1b in human cells, regulating specific endogenous mRNA targets and biological processes. Overall, our findings provide insights into the molecular mechanism of human DCP1 in mRNA decapping and shed light on the distinct functions of its paralogs.