Cell Reports MedicineCancer BiologyPeer-reviewed journal article
Extracellular Vesicles heterogeneity through the lens of multiomics
Taylon Felipe SilvaiD, Elizabeth D. HutchinsiD, Wenyan ZhaoiD, Yari CianiiD, Minhyung KimiD, Emily Y. KoiD, Javier MariscaliD, Zhuyu QiuiD, Fatima Bedier, Ágnes KitteliD, Bo O. ZhouiD, Yang WangiD, Megan C. HalliD, Francesca I. GalassoiD, Rebecca A. Reiman, Michael R. FreemaniD, Sarah J. ParkeriD, Jennifer E. Van EykiD, Wei YangiD, Edwin M. PosadasiD, Jlenia GuarnerioiD, John Nolan, Clotilde ThéryiD, Andries ZijlstraiD, Shannon L. StottiD, , Dolores Di VizioiD
Abstract
Extracellular vesicles (EVs) are heterogenous in size, biogenesis, cargo and function. Beside small EVs, aggressive tumor cells release a population of particularly large EVs, namely large oncosomes (LO). This study provides the first resource of label-free quantitative proteomics of LO and small EVs obtained from distinct cancer cell types (prostate, breast, and glioma). This dataset was integrated with a SWATH Proteomic assay on LO, rigorously isolated from the plasma of patients with metastatic prostate cancer (PC). Proteins enriched in LO, which were identified also at the RNA level, and found in plasma LO significantly correlated with PC progression. Single EV RNA-Seq of the PC cell-derived LO confirmed some of the main findings from the bulk RNA-Seq, providing first evidence that single cell technologies can be successfully applied to EVs. This multiomics resource of cancer EVs can be leveraged for developing a multi-analyte approach for liquid biopsy.
- organism: human
- assay: proteomics
- assay: bulk RNA-seq
- assay: scRNA-seq
- research focus: cell type annotation
- research focus: differential expression
- research focus: database / resource
- approach: statistical model
- approach: experimental assay
- Citations
- 56
- FWCI
- 13.46
- Field percentile
- top 1%
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