Specific GPCRs elicit unique extracellular vesicle miRNA array signatures

  1. Xiao Shi  Is a corresponding author
  2. Michelle C Palumbo
  3. Sheila Benware
  4. Jack Wiedrick
  5. Sheila Markwardt
  6. Aaron J Janowsky
  1. Research Service, Veterans Affairs Portland Health Care System, United States
  2. Department of Behavioral Neuroscience, Oregon Health and Science University, United States
  3. Biostatistics and Design Program, OHSU-PSU School of Public Health, Oregon Health and Science University, United States
  4. Department of Psychiatry, Oregon Health and Science University, United States
5 figures, 2 tables and 4 additional files

Figures

Figure 1 with 1 supplement
G protein-coupled receptor (GPCR) activation in U2OS cells by selective agonists.

(A) Dose-dependent cAMP accumulation after ADORA1 activation with agonist, 2-chloro-N6-cyclopentyladenosine (CCPA), or inhibition with antagonist 8-cyclopentyl-1,3-dipropylxanthine (DPCPX) (5 μM). (B) Dose-dependent IP1 accumulation after 2-pyridylethylamine dihydrochloride (PEA) stimulation of histamine receptor H1 (HRH1) and inhibition by cetirizine (1 μM). (C) Alkaline phosphatase (ALP) activity after stimulation of frizzled class receptor 4 (FZD4) by Wnt3a. (D) The ratio of phosphorylated ERK1/2 (pERK1/2) by total ERK 1/2 (tERK1/2) after stimulation of ACKR3 by SDF-1α. For all graphs, data are shown as mean ± SD, with n=3 independent repeats, each having duplicate determinants, ns = not significant, *p<0.05, **p<0.01, ***p<0.001 vs. vehicle control (VC). Statistical significances were determined by one-way or two-way ANOVA of receptors by agonists or antagonists and post hoc Tukey’s or Sidak’s testing for multiple comparisons.

Figure 1—figure supplement 1
Representative immunoblots show stimulation of ACKR3 with SDF-1α-induced phosphorylation of ERK1/2 (pERK1/2, 44kDa/42kDa) compared to total ERK1/2 (tERK1/2, 44kDa/42kDa).

β-Actin (43kDa) was used as a loading control.

Figure 1—figure supplement 1—source data 1

Original western blots for Figure 1—figure supplement 1.

https://cdn.elifesciences.org/articles/107865/elife-107865-fig1-figsupp1-data1-v1.zip
Figure 1—figure supplement 1—source data 2

PDF file containing the original western blots for Figure 1—figure supplement 1, with relevant bands and experimental conditions labeled.

https://cdn.elifesciences.org/articles/107865/elife-107865-fig1-figsupp1-data2-v1.zip
Figure 2 with 1 supplement
Characterization of extracellular vesicles (EVs) isolated from U2OS cell culture media.

(A) Representative immunoblots of EVs isolated by size exclusion chromatography (SEC) from U2OS cell culture media (U2) but not from media control (MC) show detection of EV markers, including CD9, CD63, CD81, flotillin, and syntenin, in EV fractions 7–9. Endoplasmic reticulum marker, calnexin, was not detected in the EV fractions. (B) Representative images from transmission electron microscopy of isolated EVs (red arrows) from pooled EV-enriched fractions 7–9. (C) Size distribution of pooled EV fractions 7–9 isolated from MC and U2. (D) Quantification of pooled EV fractions 7–9 of MC and U2 measured by fluorescence nanoparticle tracking analysis (f-NTA). Data are shown as mean ± SEM, n=7–8. A Student’s t-test determined significant differences in the EV concentration between the MC and U2, *p<0.05.

Figure 2—source data 1

Original western blots for Figure 2A.

https://cdn.elifesciences.org/articles/107865/elife-107865-fig2-data1-v1.zip
Figure 2—source data 2

PDF file containing the original western blots for Figure 2A, with relevant bands and experimental conditions labeled.

https://cdn.elifesciences.org/articles/107865/elife-107865-fig2-data2-v1.zip
Figure 2—figure supplement 1
Quantification of extracellular vesicles (EVs) in U2OS media in response to receptor activation.

U2OS cells were incubated with VC or a selective agonist 2-chloro-N6-cyclopentyladenosine (CCPA) (A), 2-pyridylethylamine dihydrochloride (PEA) (B), Wnt3a (C), or SDF-1α (D) for ADORA1, HRH1, FZD4, and ACKR3, respectively. EVs were isolated, and the concentration was normalized as a percentage of the media control (MC). EV size distribution following agonist or VC treatment in ADORA1 (E), HRH1 (F), FZD4 (G), and ACKR3 (H). Data are shown as mean ± SEM, n=3. A t-test determined no significant differences in EV concentration or size distribution between the VC and agonist stimulation in all G protein-coupled receptors (GPCRs), p>0.05.

Figure 3 with 1 supplement
Differentially expressed extracellular vesicle (EV) microRNAs (miRNAs) in response to G protein-coupled receptor (GPCR) activation.

(A) The heatmap shows unsupervised hierarchical clustering of miRNA expression (row) following GPCR stimulation (column). The relative abundance of miRNAs is represented in Z-score value (z-transformed fold changes); blue, below-mean expression; red, above-mean expression. (B–E) Volcano plots display the analysis of EV miRNAs after ADORA1 (B), HRH1 (C), FZD4 (D), and ACKR3 (E) activation. On the x-axis, the dotted line indicates miRNAs that satisfied the |log2 fold change|≥ 1.5 cutoff, while the dotted line on the y-axis indicates miRNA that met Skillings-Mack p-value<0.2. (F) Venn diagram shows the miRNAs of interest with at least 1.5-fold change across four GPCR groups following treatment. n=5–6 replicates per GPCR group.

Figure 3—figure supplement 1
Sensitivity analysis across alternative estimates of treatment effects.

(A) Scatterplot matrix showing pairwise concordance of alternative treatment effect estimators, including all per-microRNA (miRNA) estimates from all receptors combined, with text labels (in quotes) indexed to the table below; note that the perfect correlation in the ‘individual’ and ‘matched’ approaches is expected, and the ‘pooled’ and ‘batched’ approaches only apply to the receptors ADORA1 and H1R. All estimators not based on matched pairs demonstrate bias in the form of exaggeration of effect size on average, and estimators employing a higher degree of aggregation (either at the treatment group or batch level) show worse correlation with the unbiased matched-pairs estimator (an example of ecological bias); it is clear that process variance brings considerable risk of bias in experiments of this type, and that great care should be taken to provide adequate representation of process variance via controls across experiments. (B) Comparison table detailing the differences between alternative estimators, including advantages and disadvantages of each approach. Our preferred approach is ‘matched’, on both theoretical and empirical grounds. Briefly, the six combinations were: (1) treatment effect estimated as difference of group medians with permutation-based p-value; (2) difference of group medians with p-value from Welch’s robust t-test; (3) (applies to batched receptors only) treatment coefficient from median regression of pooled-batch data with p-value from the rank-based Mann-Whitney test; (4) (applies to batched receptors only) sample-weighted average of treatment coefficients from separate median regressions of data from each batch with p-value as the harmonic mean of Mann-Whitney p-values calculated separately on each batch; (5) mean matched-pairs estimator (simple average of all within-pair differences between agonist and vehicle control) with permutation-based p-value; and (6) regression matched-pairs estimator (treatment coefficient from a within-pairs linear regression) with p-value from the unbalanced-robust rank-based Skillings-Mack test. Note that (1) was the only approach where we applied group-based normalization (for all others we used run-based), and that the treatment effects in (5) and (6) are not strictly the same except in the absence of missing data, but they are operationally 100% correlated.

Figure 4 with 2 supplements
Pathway analysis of the differentially expressed extracellular vesicle (EV) microRNA (miRNA) after G protein-coupled receptor (GPCR) activation.

The bubble plots show the top 25 significantly enriched Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways for the miRNAs (≥1.5 fold change) of individual GPCR. (A) ADORA1, (B) HRH1, (C) FZD4, (D) ACKR3. The dot size represents the number of enriched gene targets, and the color shows the p-value of the enrichment. For the enrichment analysis, cutoff criteria were p-value (FDR)<0.05 and gene count >2. KEGG terms: * Endocrine and other factor-regulated calcium reabsorption, ^ Progesterone-mediated oocyte maturation.

Figure 4—figure supplement 1
The top 10 hub genes identified in microRNA (miRNA) targets (≥1.5 fold change) PPI network.
Figure 4—figure supplement 2
Pathway analysis of miR-502-3p and miR-137 targets.

The bubble plots show the top 25 significantly enriched KEGG pathways for the targets of (A) miR-502-3p and (B) miR-137. The dot size represents the number of enriched gene targets, and the color shows the p-value of the enrichment. For the enrichment analysis, the cutoff criteria were p-value (FDR)<0.05 and gene count >2. KEGG term abbreviations: ** Aldosterone-regulated sodium reabsorption.

Stimulation of G protein-coupled receptors (GPCRs) activates extracellular vesicle (EV) microRNA signatures.

Tables

Table 1
Extracellular vesicle (EV) microRNAs (miRNAs) differentially expressed in four G protein-coupled receptor (GPCR) groups.

Differentially expressed miRNAs (p<0.05) were identified in each treatment group compared to its vehicle control, n=5–6 samples of each group.

GPCRsmiRNAslog2 (FC)p-ValueSD of log2(FC)
ADORA1hsa-miR-550a-5p1.700.04550.22
hsa-miR-1227-3p1.490.02530.16
hsa-miR-454-5p1.170.01430.27
hsa-miR-31-5p0.580.01430.07
hsa-miR-135a-5p–0.790.01430.18
HRH1hsa-miR-502-3p1.570.0250.26
hsa-miR-423-5p0.590.0250.16
hsa-miR-744-5p–0.620.0250.14
FZD4hsa-miR-203a-3p–0.900.01430.16
ACKR3hsa-miR-135b-3p0.670.02530.11
Key resources table
Reagent type (species) or resourceDesignationSource or referenceIdentifiersAdditional information
Cell line (Homo sapiens)U2OS (epithelial, osteosarcoma)ATCCHTB-96
RRID:CVCL_0042
AntibodyRabbit polyclonal anti-Flotillin1AbcamAb41927
RRID:AB_941621
1:1000
AntibodyRabbit monoclonal anti-SynteninAbcamAb133267
RRID:AB_11160262
1:1000
AntibodyMouse monoclonal anti-CD63Santa Cruz Biotechnologysc-5275
RRID:AB_627877
1:1000
AntibodyMouse monoclonal anti-CD81Santa Cruz Biotechnologysc-166029
RRID:AB_2275892
1:500
AntibodyRabbit polyclonal anti-CD9Abcamab223052
RRID:AB_2922392
1:1000
AntibodyRabbit polyclonal anti-calnexinAbcamab22595
RRID:AB_2069006
1:1000
AntibodyRabbit monoclonal anti-phospho-ERK1/2 (pERK1/2)Millipore05-797R
RRID:AB_1587016
1:1000
AntibodyRabbit polyclonal anti-p44/42 MAPK (total ERK1/2)Cell Signaling Technology9102
RRID:AB_330744
1:1000
AntibodyMouse monoclonal anti-β-actinSanta Cruz Biotechnologysc-69879
RRID:AB_1119529
1:1000
Sequence-based reagentMegaplex RT primer human pool set v3.0Thermo Fisher Scientific4444750
Sequence-based reagentMegaplex PreAmp primers human pool set v3.0Thermo Fisher Scientific4444748
Sequence-based reagentTaqMan Array Human MicroRNA A+B Card Set v3.0Thermo Fisher Scientific4444913
Peptide, recombinant proteinHuman recombinant SDF-1αMilliporeSigmaGF344
Peptide, recombinant proteinHuman recombinant Wnt3aMilliporeSigmaH17001
Commercial assay or kitcAMP EIA kitCayman Chemical581001
RRID:AB_3095671
Commercial assay or kitALP assay kitAbcamab83369
Commercial assay or kitCisbio IP-1 Elisa kitRevvity72IP1PEA
RRID:AB_2904131
Commercial assay or kitMagMax mirVana total RNA isolation kitApplied Biosystems, Thermo Fisher ScientificA27828
Commercial assay or kitQubit miRNA assay kitThermo Fisher ScientificQ32880
Chemical compound, drugDi8-ANEPPSThermo Fisher ScientificD3167
Chemical compound, drugFluronic F-127Thermo Fisher ScientificP3000MP
Chemical compound, drug2-Chloro-N6-cyclopentyladenosine (CCPA)Tocris Bioscience1705
CAS:37739-05-2
Chemical compound, drug8-Cyclopentyl-1,3-dipropylxanthine (DPCPX)Tocris Bioscience0439
CAS:102146-07-6
Chemical compound, drug2-Pyridylethylamine dihydrochlorideTocris Bioscience2478
CAS:3343-39-3
Chemical compound, drugCetirizine dihydrochlorideTocris Bioscience2577
CAS:83881-52-1
Software, algorithmGraphPad Prism software version 10GraphPad Software IncRRID:SCR_002798
Software, algorithmString (v12.0)http://string.embl.de/RRID:SCR_005223
Software, algorithmGene Ontologyhttp://www.geneontology.org/RRID:SCR_002811
Software, algorithmSR plot web servicehttps://www.bioinformatics.com.cn/srplotRRID:SCR_025904
Software, algorithmmiRNet online web service v2.0http://www.mirnet.caRRID:SCR_024567
Software, algorithmCytoScape software (v3.10.1)https://cytoscape.orgRRID:SCR_003032

Additional files

Supplementary file 1

The analysis of G protein-coupled receptor (GPCR) gene expression across various cell lines, as sourced from the Human Protein Atlas.

https://cdn.elifesciences.org/articles/107865/elife-107865-supp1-v1.docx
Supplementary file 2

microRNAs (miRNAs) detected in media control.

https://cdn.elifesciences.org/articles/107865/elife-107865-supp2-v1.docx
Supplementary file 3

Differentially expressed microRNAs (miRNAs) in the isolated extracellular vesicles (EVs) following G protein-coupled receptor (GPCR) activation.

All differentially expressed miRNAs (meeting p<0.2) after stimulation were listed.

https://cdn.elifesciences.org/articles/107865/elife-107865-supp3-v1.docx
MDAR checklist
https://cdn.elifesciences.org/articles/107865/elife-107865-mdarchecklist1-v1.docx

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  1. Xiao Shi
  2. Michelle C Palumbo
  3. Sheila Benware
  4. Jack Wiedrick
  5. Sheila Markwardt
  6. Aaron J Janowsky
(2026)
Specific GPCRs elicit unique extracellular vesicle miRNA array signatures
eLife 14:RP107865.
https://doi.org/10.7554/eLife.107865.3