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Calculating RNA degradation rates using large-scale normalization in mouse embryonic stem cells

Data normalization is critical to the process of estimating RNA degradation by analyzing RNA levels when transcription is blocked. Here, we present a protocol for measuring mRNA degradation rates, optimized for mouse embryonic stem cells, using α-amanitin inhibitor. We describe steps for a time cour...

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Detalles Bibliográficos
Autores principales: Viegas, Juliane Oliveira, Fishman, Lior, Meshorer, Eran, Rabani, Michal
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10495639/
https://www.ncbi.nlm.nih.gov/pubmed/37656628
http://dx.doi.org/10.1016/j.xpro.2023.102534
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author Viegas, Juliane Oliveira
Fishman, Lior
Meshorer, Eran
Rabani, Michal
author_facet Viegas, Juliane Oliveira
Fishman, Lior
Meshorer, Eran
Rabani, Michal
author_sort Viegas, Juliane Oliveira
collection PubMed
description Data normalization is critical to the process of estimating RNA degradation by analyzing RNA levels when transcription is blocked. Here, we present a protocol for measuring mRNA degradation rates, optimized for mouse embryonic stem cells, using α-amanitin inhibitor. We describe steps for a time course α-amanitin treatment, RNA-seq, and alignment; we then detail procedures for analyzing data and sequence enrichment. Our method relies on large-scale normalization of stable transcripts in genomic RNA-seq measurements, providing reliable readouts. For complete details on the use and execution of this protocol, please refer to Viegas et al.(1)
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spelling pubmed-104956392023-09-13 Calculating RNA degradation rates using large-scale normalization in mouse embryonic stem cells Viegas, Juliane Oliveira Fishman, Lior Meshorer, Eran Rabani, Michal STAR Protoc Protocol Data normalization is critical to the process of estimating RNA degradation by analyzing RNA levels when transcription is blocked. Here, we present a protocol for measuring mRNA degradation rates, optimized for mouse embryonic stem cells, using α-amanitin inhibitor. We describe steps for a time course α-amanitin treatment, RNA-seq, and alignment; we then detail procedures for analyzing data and sequence enrichment. Our method relies on large-scale normalization of stable transcripts in genomic RNA-seq measurements, providing reliable readouts. For complete details on the use and execution of this protocol, please refer to Viegas et al.(1) Elsevier 2023-09-05 /pmc/articles/PMC10495639/ /pubmed/37656628 http://dx.doi.org/10.1016/j.xpro.2023.102534 Text en © 2023 The Authors https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Protocol
Viegas, Juliane Oliveira
Fishman, Lior
Meshorer, Eran
Rabani, Michal
Calculating RNA degradation rates using large-scale normalization in mouse embryonic stem cells
title Calculating RNA degradation rates using large-scale normalization in mouse embryonic stem cells
title_full Calculating RNA degradation rates using large-scale normalization in mouse embryonic stem cells
title_fullStr Calculating RNA degradation rates using large-scale normalization in mouse embryonic stem cells
title_full_unstemmed Calculating RNA degradation rates using large-scale normalization in mouse embryonic stem cells
title_short Calculating RNA degradation rates using large-scale normalization in mouse embryonic stem cells
title_sort calculating rna degradation rates using large-scale normalization in mouse embryonic stem cells
topic Protocol
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10495639/
https://www.ncbi.nlm.nih.gov/pubmed/37656628
http://dx.doi.org/10.1016/j.xpro.2023.102534
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