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Deconvolution of in vivo protein-RNA contacts using fractionated eCLIP-seq
Thousands of RNA-binding proteins orchestrate RNA processing and altered protein-RNA interactions frequently lead to disease. Here, we present experimental and computational analysis pipelines of fractionated eCLIP-seq (freCLIP-seq), a modification of enhanced UV-crosslinking and RNA immunoprecipita...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9676202/ https://www.ncbi.nlm.nih.gov/pubmed/36595959 http://dx.doi.org/10.1016/j.xpro.2022.101823 |
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author | Biancon, Giulia Busarello, Emma Joshi, Poorval Lesch, Bluma J. Halene, Stephanie Tebaldi, Toma |
author_facet | Biancon, Giulia Busarello, Emma Joshi, Poorval Lesch, Bluma J. Halene, Stephanie Tebaldi, Toma |
author_sort | Biancon, Giulia |
collection | PubMed |
description | Thousands of RNA-binding proteins orchestrate RNA processing and altered protein-RNA interactions frequently lead to disease. Here, we present experimental and computational analysis pipelines of fractionated eCLIP-seq (freCLIP-seq), a modification of enhanced UV-crosslinking and RNA immunoprecipitation followed by sequencing. FreCLIP-seq allows transcriptome-wide analysis of protein-RNA interactions at single-nucleotide level and provides an additional level of resolution by isolating binding signals of individual RNA-binding proteins within a multicomponent complex. Binding occupancy can be inferred from read counts and crosslinking events. For complete details on the use and execution of this protocol, please refer to Biancon et al. (2022). |
format | Online Article Text |
id | pubmed-9676202 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-96762022022-11-22 Deconvolution of in vivo protein-RNA contacts using fractionated eCLIP-seq Biancon, Giulia Busarello, Emma Joshi, Poorval Lesch, Bluma J. Halene, Stephanie Tebaldi, Toma STAR Protoc Protocol Thousands of RNA-binding proteins orchestrate RNA processing and altered protein-RNA interactions frequently lead to disease. Here, we present experimental and computational analysis pipelines of fractionated eCLIP-seq (freCLIP-seq), a modification of enhanced UV-crosslinking and RNA immunoprecipitation followed by sequencing. FreCLIP-seq allows transcriptome-wide analysis of protein-RNA interactions at single-nucleotide level and provides an additional level of resolution by isolating binding signals of individual RNA-binding proteins within a multicomponent complex. Binding occupancy can be inferred from read counts and crosslinking events. For complete details on the use and execution of this protocol, please refer to Biancon et al. (2022). Elsevier 2022-11-16 /pmc/articles/PMC9676202/ /pubmed/36595959 http://dx.doi.org/10.1016/j.xpro.2022.101823 Text en © 2022 The Author(s) 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 Biancon, Giulia Busarello, Emma Joshi, Poorval Lesch, Bluma J. Halene, Stephanie Tebaldi, Toma Deconvolution of in vivo protein-RNA contacts using fractionated eCLIP-seq |
title | Deconvolution of in vivo protein-RNA contacts using fractionated eCLIP-seq |
title_full | Deconvolution of in vivo protein-RNA contacts using fractionated eCLIP-seq |
title_fullStr | Deconvolution of in vivo protein-RNA contacts using fractionated eCLIP-seq |
title_full_unstemmed | Deconvolution of in vivo protein-RNA contacts using fractionated eCLIP-seq |
title_short | Deconvolution of in vivo protein-RNA contacts using fractionated eCLIP-seq |
title_sort | deconvolution of in vivo protein-rna contacts using fractionated eclip-seq |
topic | Protocol |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9676202/ https://www.ncbi.nlm.nih.gov/pubmed/36595959 http://dx.doi.org/10.1016/j.xpro.2022.101823 |
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