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An Optimized Protocol for the Mapping of Cell Type-Specific Ribosome-Associated Transcript Isoforms from Small Mouse Brain Regions
Book Item (Buchkapitel, Lexikonartikel, jur. Kommentierung, Beiträge in Sammelbänden)
 
ID 4661884
Author(s) Di Bartolomei, Giulia; Scheiffele, Peter
Author(s) at UniBasel Scheiffele, Peter
Di Bartolomei, Giulia
Year 2022
Title An Optimized Protocol for the Mapping of Cell Type-Specific Ribosome-Associated Transcript Isoforms from Small Mouse Brain Regions
Editor(s) Scheiffele, Peter; Mauger, Oriane
Book title Alternative Splicing: Methods and Protocols
Volume 2537
Publisher Springer
Place of publication New York, NY
Pages 37-49
ISSN/ISBN 1064-3745 ; 1940-6029 ; 978-1-0716-2520-0 ; 978-1-0716-2521-7
Series title Methods in Molecular Biology
Mesh terms Animals; Brain, metabolism; Mice; Protein Biosynthesis; Protein Isoforms, metabolism; RNA, Messenger, metabolism; Ribosomes, metabolism; Transcriptome
Abstract Over the past years, technological advances in transcriptomics provided deep insights into gene expression programs and their role in tissue organization and cellular functions. The isolation of ribosome-associated transcripts is a powerful approach for deep profiling of cell type-specific transcripts, and particularly well-suited for quantitative analysis of transcript isoforms. This method employs conditional ribosome epitope-tagging in genetically defined cell types, followed by affinity-isolation of ribosome-associated mRNAs. Advantages of this approach are twofold: first, the method enables rapid retrieval of mRNAs without tissue dissociation and cell sorting steps. Second, capturing of ribosome-associated mRNAs, enriches for transcripts recruited for active translation, therefore providing an approximation to the cellular translatome. Here, we describe one application of this method for the identification of the transcriptome of excitatory neuronal cells (mitral and tufted cells) of the mouse olfactory bulb, through RiboTag isolation from the vGlut2-IRES-cre mouse line as genetic driver of endogenously tagged ribosome expression.
edoc-URL https://edoc.unibas.ch/93488/
Full Text on edoc No
Digital Object Identifier DOI 10.1007/978-1-0716-2521-7_3
ISI-number MEDLINE:35895257
 
   

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20/04/2024