Cell GenomicsGenetic & Genomic MedicinePeer-reviewed journal article
The extracellular vesicle transcriptome provides tissue-specific functional genomic annotation relevant to disease susceptibility in obesity
Emeli ChatterjeeiD, Michael J. BettiiD, Quanhu ShengiD, Phillip LiniD, Margo P. EmontiD, Guoping LiiD, Kaushik V AmancherlaiD, Marta García-ContrerasiD, Priyanka GokulnathiD, Worawan B. LimpitikuliD, Olivia Rosina WhittakeriD, Kathy Luong, Christopher AzzamiD, Denise W. GeeiD, Matthew HutteriD, Karen M. Flanders, Parul SahuiD, Charles Robb FlynniD, Jonathan D. BrowniD, Danxia YuiD, Evan D. RoseniD, Kendall Jensen, Eric R. GamazoniD, Ravi V. ShahiD, Saumya DasiD
Abstract
We characterized circulating extracellular vesicles (EVs) in obese and lean humans, identifying transcriptional cargo differentially expressed in obesity. Since circulating EVs may have broad origin, we compared this obesity EV transcriptome to expression from human visceral adipose tissue derived EVs from freshly collected and cultured biopsies from the same obese individuals. Using a comprehensive set of adipose-specific epigenomic and chromatin conformation assays, we found that the differentially expressed transcripts from the EVs were those regulated in adipose by BMI-associated SNPs from a large-scale GWAS. Using a phenome-wide association study of the regulatory SNPs for the EV-derived transcripts, we identified a substantial enrichment for inflammatory phenotypes, including type 2 diabetes. Collectively, these findings represent the convergence of the GWAS (genetics), epigenomics (transcript regulation), and EV (liquid biopsy) fields, enabling powerful future genomic studies of complex diseases.
- organism: human
- assay: bulk RNA-seq
- research focus: gene regulatory network inference
- research focus: GWAS / association mapping
- research focus: differential expression
- approach: statistical model
- approach: benchmark study
- Citations
- 10
- FWCI
- 3.01
- Field percentile
- top 8%
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