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Assessing MicroRNA Profiles from Low Concentration Extracellular Vesicle RNA Utilizing NanoString nCounter Technology.
Crossland, Rachel E; Macdonald, Jamie; Wang, Xiao-Nong.
Afiliação
  • Crossland RE; Translational and Clinical Research Institute (NUTCRI), Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, UK. rachel.crossland@ncl.ac.uk.
  • Macdonald J; Translational and Clinical Research Institute (NUTCRI), Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, UK.
  • Wang XN; Translational and Clinical Research Institute (NUTCRI), Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, UK.
Methods Mol Biol ; 2822: 101-123, 2024.
Article em En | MEDLINE | ID: mdl-38907915
ABSTRACT
Extracellular vesicles (EV) are rich in small RNA; however, a frequent caveat can be low abundance of EV RNA content, especially in clinical studies. NanoString MicroRNA Assays allow for multiplexed profiling of n = 800 mature microRNAs and can be applied to assess EV microRNA cargo. Here, we describe a method to adapt NanoString nCounter microRNA profiling to assess mature microRNA expression in low-concentration RNA samples, including concentrating the RNA, quantifying the RNA, and performing the NanoString protocol. Twelve samples can be assessed at one time using this method.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: MicroRNAs / Vesículas Extracelulares Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: MicroRNAs / Vesículas Extracelulares Idioma: En Ano de publicação: 2024 Tipo de documento: Article