Deciphering the total RNA content of extracellular vesicles

Maria G Amorim; Emmanuel Dias-Neto; Diana N Nunes

doi:10.1016/bs.mie.2020.08.001

Deciphering the total RNA content of extracellular vesicles

Methods Enzymol. 2020:645:141-154. doi: 10.1016/bs.mie.2020.08.001. Epub 2020 Sep 29.

Authors

Maria G Amorim¹, Emmanuel Dias-Neto², Diana N Nunes³

Affiliations

¹ Laboratory of Medical Genomics, A.C.Camargo Cancer Center - São Paulo, SP, Brazil.
² Laboratory of Medical Genomics, A.C.Camargo Cancer Center - São Paulo, SP, Brazil; Laboratory of Neurosciences (LIM-27), Institute of Psychiatry, University of São Paulo (USP) Medical School, São Paulo, SP, Brazil. Electronic address: emmanuel@accamargo.org.br.
³ Laboratory of Medical Genomics, A.C.Camargo Cancer Center - São Paulo, SP, Brazil. Electronic address: dnoronha@accamargo.org.br.

PMID: 33565968
DOI: 10.1016/bs.mie.2020.08.001

Abstract

Extracellular vesicles (EVs) have been recognized as relevant players in cell-cell communication. To fully explore their potential as carriers of biological information in clinical settings, protocols capable of dealing with minute amounts of proteins, lipids, and nucleic acids present in their cargo are a requirement. Here we delve into a protocol to decipher the total transcriptome of EVs, from undetectable amounts of EVs-derived RNA from clinical samples.

Keywords: Extracellular vesicles; RNA-cargo; Transcriptome.

Publication types

Research Support, Non-U.S. Gov't

MeSH terms

Cell Communication
Extracellular Vesicles*
Proteins
RNA / genetics
Transcriptome

Substances

Proteins
RNA