Literature DB >> 25237619

Methods for the extraction and RNA profiling of exosomes.

Emily Zeringer1, Mu Li1, Tim Barta1, Jeoffrey Schageman1, Ketil Winther Pedersen1, Axl Neurauter1, Susan Magdaleno1, Robert Setterquist1, Alexander V Vlassov1.   

Abstract

AIM: To develop protocols for isolation of exosomes and characterization of their RNA content.
METHODS: Exosomes were extracted from HeLa cell culture media and human blood serum using the Total exosome isolation (from cell culture media) reagent, and Total exosome isolation (from serum) reagent respectively. Identity and purity of the exosomes was confirmed by Nanosight(®) analysis, electron microscopy, and Western blots for CD63 marker. Exosomal RNA cargo was recovered with the Total exosome RNA and protein isolation kit. Finally, RNA was profiled using Bioanalyzer and quantitative reverse transcription-polymerase chain reaction (qRT-PCR) methodology.
RESULTS: Here we describe a novel approach for robust and scalable isolation of exosomes from cell culture media and serum, with subsequent isolation and analysis of RNA residing within these vesicles. The isolation procedure is completed in a fraction of the time, compared to the current standard protocols utilizing ultracentrifugation, and allows to recover fully intact exosomes in higher yields. Exosomes were found to contain a very diverse RNA cargo, primarily short sequences 20-200 nt (such as miRNA and fragments of mRNA), however longer RNA species were detected as well, including full-length 18S and 28S rRNA.
CONCLUSION: We have successfully developed a set of reagents and a workflow allowing fast and efficient extraction of exosomes, followed by isolation of RNA and its analysis by qRT-PCR and other techniques.

Entities:  

Keywords:  Cell culture media; Exosomes; Microvesicles; Quantitative reverse transcription-polymerase chain reaction; RNA; Sequencing; Serum

Year:  2013        PMID: 25237619      PMCID: PMC4145569          DOI: 10.5662/wjm.v3.i1.11

Source DB:  PubMed          Journal:  World J Methodol        ISSN: 2222-0682


  24 in total

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  37 in total

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