Analysis of extracellular vesicles of frequently used colorectal cancer cell lines

Colorectal cancer (CRC) ranks as the second most prevalent malignancy globally, highlighting the urgent need for more effective diagnostic and therapeutic strategies, as well as a deeper understanding of its molecular basis. Extensive research has demonstrated that cells actively secrete extracellular vesicles (EVs) to mediate intercellular communication at both proximal and distal sites. In this study, we conducted a comprehensive analysis of the RNA content of small extracellular vesicles (sEVs) secreted into the culture media of five frequently utilised CRC cell lines (RKO, HCT116, HCT15, HT29, and DLD1). RNA sequencing data revealed significant insights into the RNA profiles of these sEVs, identifying nine protein-coding genes and fourteen long non-coding RNA (lncRNA) genes that consistently ranked among the top 30 most abundant across all cell lines. Notably, the genes found in sEVs were highly similar among the cell lines, indicating a conserved molecular signature. Several of these genes have been previously documented in the context of cancer biology, while others represent novel discoveries. These findings provide valuable insights into the molecular cargo of sEVs in CRC, potentially unveiling novel biomarkers and therapeutic targets.

Authors

Institutions

Publication Details

Journal
BMC Cancer
Published
2025-03-27
DOI
https://doi.org/10.1186/s12885-025-13936-0
Primary Topic
Extracellular vesicles in disease
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Analysis of extracellular vesicles of frequently used colorectal cancer cell lines

Vojtěch Bystrý, Т. В. Самойленко, Nicolas Blavet, Kateřina Koželková et al.
1 links
BMC Cancer
Extracellular vesicles in disease
article

Analysis of extracellular vesicles of frequently used colorectal cancer cell lines

Vojtěch Bystrý, Т. В. Самойленко, Nicolas Blavet, Kateřina Koželková, Kamila Součková, Jan Kotouček, Petra Vychytilová-Faltejsková, Miroslav Boudný, Robin Jugas, Táňa Macháčková, Ondřej Slabý, Marie Boudná, Renata Bartošová
article en

Abstract

Colorectal cancer (CRC) ranks as the second most prevalent malignancy globally, highlighting the urgent need for more effective diagnostic and therapeutic strategies, as well as a deeper understanding of its molecular basis. Extensive research has demonstrated that cells actively secrete extracellular vesicles (EVs) to mediate intercellular communication at both proximal and distal sites. In this study, we conducted a comprehensive analysis of the RNA content of small extracellular vesicles (sEVs) secreted into the culture media of five frequently utilised CRC cell lines (RKO, HCT116, HCT15, HT29, and DLD1). RNA sequencing data revealed significant insights into the RNA profiles of these sEVs, identifying nine protein-coding genes and fourteen long non-coding RNA (lncRNA) genes that consistently ranked among the top 30 most abundant across all cell lines. Notably, the genes found in sEVs were highly similar among the cell lines, indicating a conserved molecular signature. Several of these genes have been previously documented in the context of cancer biology, while others represent novel discoveries. These findings provide valuable insights into the molecular cargo of sEVs in CRC, potentially unveiling novel biomarkers and therapeutic targets.

BMC CancerVol. 25(1)
Central European Institute of Technology (CZ), Masaryk University (CZ), Central European Institute of Technology – Masaryk University (CZ), Veterinary Research Institute (CZ)
Grantová Agentura České Republiky
Good health and well-being
Openalex Percentile: Top 95%
Extracellular vesicles in disease
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.