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Extracellular vesicle heterogeneity through the lens of multiomics

  • Taylon F. Silva
  • , Elizabeth Hutchins
  • , Wenyan Zhao
  • , Yari Ciani
  • , Minhyung Kim
  • , Emily Ko
  • , Javier Mariscal
  • , Zhuyu Qiu
  • , Fatima Bedier
  • , Agnes Kittel
  • , Bo Zhou
  • , Yang Wang
  • , Megan Hall
  • , Francesca Galasso
  • , Rebecca Reiman
  • , Michael R. Freeman
  • , Sarah Parker
  • , Jennifer Van Eyk
  • , Wei Yang
  • , Edwin Posadas
  • Jlenia Guarnerio, John Nolan, Clotilde Théry, Andries Zijlstra, Shannon Stott, Sungyong You, Francesca Demichelis, Paul C. Boutros, Kendall Van Keuren-Jensen, Dolores Di Vizio
  • Cedars-Sinai Medical Center
  • Translational Genomics Research Institute
  • University of California at Los Angeles
  • University of Trento
  • Institute of Experimental Medicine
  • Scintillon Institute for Biomedical and Bioenergy Research
  • Institut Curie
  • Vanderbilt University
  • Harvard University
  • Broad Institute

Research output: Contribution to journalArticlepeer-review

23 Scopus citations

Abstract

Extracellular vesicles (EVs) are heterogeneous in size, biogenesis, content, and function. Aggressive cancer cells release a distinct, poorly characterized, and particularly large EV subtype, namely large oncosomes (LOs). This study employs an optimized method to improve LO yields and integrates mass spectrometry and RNA sequencing (RNA-seq) to profile their molecular cargo. A consistent set of proteins enriched in LOs is identified across glioma, prostate, and breast cancer cell lines. These proteins are also present as mRNA in LOs from the prostate cancer model and are abundant in plasma LOs from 20 patients with metastasis. Single-LO RNA-seq confirms bulk LO cargo, demonstrating the utility of single-cell technologies for large vesicle analysis. Our patient study provides proof-of-principle evidence that we can use multiomics to delve into EV heterogeneity, biogenesis, and composition. It also suggests that plasma LOs help stratify patients, supporting their potential prognostic value for developing a multi-analyte approach for liquid biopsy.

Original languageEnglish
Article number102161
JournalCell Reports Medicine
Volume6
Issue number7
DOIs
StatePublished - Jul 15 2025

Keywords

  • cancer
  • extracellular vesicles
  • large oncosomes
  • liquid biopsy
  • multiomics
  • prostate cancer
  • proteomic
  • single-vesicle RNA-seq
  • transcriptomic

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