A total transcriptome profiling method for plasma-derived extracellular vesicles: applications for liquid biopsies

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dc.citation.volume7
dc.contributor.authorAmorim, Maria G.
dc.contributor.authorValieris, Renan
dc.contributor.authorDrummond, Rodrigo D.
dc.contributor.authorPizzi, Melissa P.
dc.contributor.authorFreitas, Vanessa M.
dc.contributor.authorSinigaglia-Coimbra, Rita [UNIFESP]
dc.contributor.authorCalin, George A.
dc.contributor.authorPasqualini, Renata
dc.contributor.authorArap, Wadih
dc.contributor.authorSilva, Israel T.
dc.contributor.authorDias-Neto, Emmanuel
dc.contributor.authorNunes, Diana N.
dc.coverageLondon
dc.date.accessioned2020-08-04T13:39:48Z
dc.date.available2020-08-04T13:39:48Z
dc.date.issued2017
dc.description.abstractExtracellular vesicles (EVs) are key mediators of intercellular communication. Part of their biological effects can be attributed to the transfer of cargos of diverse types of RNAs, which are promising diagnostic and prognostic biomarkers. EVs found in human biofluids are a valuable source for the development of minimally invasive assays. However, the total transcriptional landscape of EVs is still largely unknown. Here we develop a new method for total transcriptome profiling of plasma-derived EVs by next generation sequencing (NGS) from limited quantities of patient-derived clinical samples, which enables the unbiased characterization of the complete RNA cargo, including both small- and long-RNAs, in a single library preparation step. This approach was applied to RNA extracted from EVs isolated by ultracentrifugation from the plasma of five healthy volunteers. Among the most abundant RNAs identified we found small RNAs such as tRNAs, miRNAs and miscellaneous RNAs, which have largely unknown functions. We also identified protein-coding and long noncoding transcripts, as well as circular RNA species that were also experimentally validated. This method enables, for the first time, the full spectrum of transcriptome data to be obtained from minute patient-derived samples, and will therefore potentially allow the identification of cell-to-cell communication mechanisms and biomarkers.en
dc.description.affiliationAC Camargo Canc Ctr, Lab Med Genom, Sao Paulo, SP, Brazil
dc.description.affiliationAC Camargo Canc Ctr, Lab Computat Biol, Sao Paulo, SP, Brazil
dc.description.affiliationUniv Sao Paulo, Inst Biomed Sci, Dept Cell & Dev Biol, Sao Paulo, SP, Brazil
dc.description.affiliationUniv Fed Sao Paulo, Electron Microscopy Ctr, Sao Paulo, SP, Brazil
dc.description.affiliationUniv Texas MD Anderson Canc Ctr, Dept Expt Therapeut, Houston, TX 77030 USA
dc.description.affiliationUniv Texas MD Anderson Canc Ctr, Ctr RNA Interference & Non Coding RNAs, Houston, TX 77030 USA
dc.description.affiliationUniv New Mexico, Comprehens Canc Ctr, Albuquerque, NM 87131 USA
dc.description.affiliationUniv New Mexico, Sch Med, Div Hematol Oncol, Dept Internal Med, Albuquerque, NM 87131 USA
dc.description.affiliationUniv New Mexico, Sch Med, Div Mol Med, Dept Internal Med, Albuquerque, NM 87131 USA
dc.description.affiliationRockefeller Univ, Lab Mol Immunol, 1230 York Ave, New York, NY 10021 USA
dc.description.affiliationFMUSP, Lab Neurociencias Alzira Denise Hertzog Silva LIM, Inst Psiquiatria, Sao Paulo, SP, Brazil
dc.description.affiliationUnifespUniv Fed Sao Paulo, Electron Microscopy Ctr, Sao Paulo, SP, Brazil
dc.description.provenanceMade available in DSpace on 2020-08-04T13:39:48Z (GMT). No. of bitstreams: 0 Previous issue date: 2017. Added 1 bitstream(s) on 2020-08-04T14:45:53Z : No. of bitstreams: 1 WOS000414230900006.pdf: 1837063 bytes, checksum: 242db7506b26e042a9f15a2a894174eb (MD5)en
dc.description.sourceWeb of Science
dc.description.sponsorshipFundacao de Amparo a Pesquisa do Estado de Sao Paulo (FAPESP)
dc.description.sponsorshipGillson-Longenbaugh Foundation
dc.description.sponsorshipNational Institutes of Health (NIH/NCATS) through the NIH Common Fund, Office of Strategic Coordination (OSC)
dc.description.sponsorshipIDFAPESP: 2011/09172-3
dc.description.sponsorshipIDFAPESP: 2014/26897-0
dc.format.extent-
dc.identifierhttp://dx.doi.org/10.1038/s41598-017-14264-5
dc.identifier.citationScientific Reports. London, v. 7, p. -, 2017.
dc.identifier.doi10.1038/s41598-017-14264-5
dc.identifier.fileWOS000414230900006.pdf
dc.identifier.issn2045-2322
dc.identifier.urihttps://repositorio.unifesp.br/handle/11600/57128
dc.identifier.wosWOS:000414230900006
dc.language.isoeng
dc.publisherNature Publishing Group
dc.relation.ispartofScientific Reports
dc.rightsAcesso aberto
dc.titleA total transcriptome profiling method for plasma-derived extracellular vesicles: applications for liquid biopsiesen
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