RNA-seq reveals distinctive RNA profiles of small extracellular vesicles from different human liver cancer cell lines

Liver cancer (LC) is one of the most common cancers and represents the third highest cause of cancer-related deaths worldwide. Extracellular vesicle (EVs) cargoes, which are selectively enriched in RNA, offer great promise for the diagnosis, prognosis and treatment of LC. Our study analyzed the RNA cargoes of EVs derived from 4 liver-cancer cell lines: HuH7, Hep3B, HepG2 (hepato-cellular carcinoma) and HuH6 (hepatoblastoma), generating two different sets of sequencing libraries for each. One library was size-selected for small RNAs and the other targeted the whole transcriptome. Here are reported genome wide data of the expression level of coding and non-coding transcripts, microRNAs, isomiRs and snoRNAs providing the first comprehensive overview of the extracellular-vesicle RNA cargo released from LC cell lines. The EV-RNA expression profiles of the four liver cancer cell lines share a similar background, but cell-specific features clearly emerge showing the marked heterogeneity of the EV-cargo among the individual cell lines, evident both for the coding and non-coding RNA species.

Medienart:

E-Artikel

Erscheinungsjahr:

2017

Erschienen:

2017

Enthalten in:

Zur Gesamtaufnahme - volume:8

Enthalten in:

Oncotarget - 8(2017), 47 vom: 10. Okt., Seite 82920-82939

Sprache:

Englisch

Beteiligte Personen:

Berardocco, Martina [VerfasserIn]
Radeghieri, Annalisa [VerfasserIn]
Busatto, Sara [VerfasserIn]
Gallorini, Marialucia [VerfasserIn]
Raggi, Chiara [VerfasserIn]
Gissi, Clarissa [VerfasserIn]
D'Agnano, Igea [VerfasserIn]
Bergese, Paolo [VerfasserIn]
Felsani, Armando [VerfasserIn]
Berardi, Anna C [VerfasserIn]

Links:

Volltext

Themen:

Extracellular vesicles
Journal Article
Liver cancer
MicroRNA
RNA sequencing
Small nucleolar RNA

Anmerkungen:

Date Revised 20.11.2019

published: Electronic-eCollection

Citation Status PubMed-not-MEDLINE

doi:

10.18632/oncotarget.20503

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM278038573