Gene Expression Analysis by Multiplex Single-Cell RT-PCR.


Journal

Methods in molecular biology (Clifton, N.J.)
ISSN: 1940-6029
Titre abrégé: Methods Mol Biol
Pays: United States
ID NLM: 9214969

Informations de publication

Date de publication:
2019
Historique:
entrez: 2 2 2019
pubmed: 2 2 2019
medline: 20 8 2019
Statut: ppublish

Résumé

Brain circuit assemblies comprise different cellular subpopulations that exhibit morphological, electrophysiological, and molecular diversity. Here we describe a protocol which, combined with whole-cell patch-clamp recording and morphological reconstruction, allows the transcriptomic analysis of the recorded cell. This protocol provides recipes on how to detect simultaneously the expression of 24 genes/markers at the single-cell level using polymerase chain reaction (PCR), how to design gene-specific probes, and how to validate them. This technique provides multiplexed expression data that cannot be easily obtained by other approaches such as immunological co-labeling.

Identifiants

pubmed: 30707432
doi: 10.1007/978-1-4939-9077-1_10
doi:

Substances chimiques

RNA, Messenger 0

Types de publication

Journal Article

Langues

eng

Pagination

139-154

Auteurs

Ludovic Tricoire (L)

Sorbonne Université, UPMC Univ Paris 06 UM119, Centre National de la Recherche Scientifique (CNRS) UMR8246, Institut National de la Santé et de la Recherche Médicale (INSERM) UMRS1130, Neuroscience Paris Seine,Institut de Biologie Paris-Seine, Paris, France.

Bruno Cauli (B)

Sorbonne Université, UPMC Univ Paris 06 UM119, Centre National de la Recherche Scientifique (CNRS) UMR8246, Institut National de la Santé et de la Recherche Médicale (INSERM) UMRS1130, Neuroscience Paris Seine,Institut de Biologie Paris-Seine, Paris, France.

Bertrand Lambolez (B)

Sorbonne Université, UPMC Univ Paris 06 UM119, Centre National de la Recherche Scientifique (CNRS) UMR8246, Institut National de la Santé et de la Recherche Médicale (INSERM) UMRS1130, Neuroscience Paris Seine,Institut de Biologie Paris-Seine, Paris, France. bertrand.lambolez@upmc.fr.

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Classifications MeSH