Analysis of extracellular vesicles of frequently used colorectal cancer cell lines

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Publikace nespadá pod Ústav výpočetní techniky, ale pod Lékařskou fakultu. Oficiální stránka publikace je na webu muni.cz.
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BOUDNÁ Marie BLAVET Nicolas SAMOILENKO Tetiana MACHÁČKOVÁ Táňa JUGAS Robin VYCHYTILOVÁ Petra BOUDNÝ Miroslav BARTOŠOVÁ Renata KOTOUCEK Jan BYSTRÝ Vojtěch KOŽELKOVÁ Kateřina SLABÝ Ondřej SOUČKOVÁ Kamila

Rok publikování 2025
Druh Článek v odborném periodiku
Časopis / Zdroj BMC Cancer
Fakulta / Pracoviště MU

Lékařská fakulta

Citace
www https://bmccancer.biomedcentral.com/articles/10.1186/s12885-025-13936-0
Doi http://dx.doi.org/10.1186/s12885-025-13936-0
Klíčová slova Colorectal cancer; CRC; Extracellular vesicles; Exosomes; Cell line; EV; EV cargo; EV content
Přiložené soubory
Popis 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.
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