TY - JOUR
T1 - Extracellular vesicle heterogeneity through the lens of multiomics
AU - Silva, Taylon F.
AU - Hutchins, Elizabeth
AU - Zhao, Wenyan
AU - Ciani, Yari
AU - Kim, Minhyung
AU - Ko, Emily
AU - Mariscal, Javier
AU - Qiu, Zhuyu
AU - Bedier, Fatima
AU - Kittel, Agnes
AU - Zhou, Bo
AU - Wang, Yang
AU - Hall, Megan
AU - Galasso, Francesca
AU - Reiman, Rebecca
AU - Freeman, Michael R.
AU - Parker, Sarah
AU - Van Eyk, Jennifer
AU - Yang, Wei
AU - Posadas, Edwin
AU - Guarnerio, Jlenia
AU - Nolan, John
AU - Théry, Clotilde
AU - Zijlstra, Andries
AU - Stott, Shannon
AU - You, Sungyong
AU - Demichelis, Francesca
AU - Boutros, Paul C.
AU - Van Keuren-Jensen, Kendall
AU - Di Vizio, Dolores
N1 - Publisher Copyright:
© 2025 The Authors
PY - 2025/7/15
Y1 - 2025/7/15
N2 - 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.
AB - 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.
KW - cancer
KW - extracellular vesicles
KW - large oncosomes
KW - liquid biopsy
KW - multiomics
KW - prostate cancer
KW - proteomic
KW - single-vesicle RNA-seq
KW - transcriptomic
UR - https://www.scopus.com/pages/publications/105007448844
U2 - 10.1016/j.xcrm.2025.102161
DO - 10.1016/j.xcrm.2025.102161
M3 - Article
C2 - 40482644
AN - SCOPUS:105007448844
SN - 2666-3791
VL - 6
JO - Cell Reports Medicine
JF - Cell Reports Medicine
IS - 7
M1 - 102161
ER -