iCLIP data analysis: A complete pipeline from sequencing reads to RBP binding sites.


Journal

Methods (San Diego, Calif.)
ISSN: 1095-9130
Titre abrégé: Methods
Pays: United States
ID NLM: 9426302

Informations de publication

Date de publication:
01 06 2020
Historique:
received: 01 07 2019
revised: 13 11 2019
accepted: 14 11 2019
pubmed: 22 11 2019
medline: 8 6 2021
entrez: 22 11 2019
Statut: ppublish

Résumé

Precise knowledge on the binding sites of an RNA-binding protein (RBP) is key to understanding the complex post-transcriptional regulation of gene expression. This information can be obtained from individual-nucleotide resolution UV crosslinking and immunoprecipitation (iCLIP) experiments. Here, we present a complete data analysis workflow to reliably detect RBP binding sites from iCLIP data. The workflow covers all steps from the initial quality control of the sequencing reads up to peak calling and quantification of RBP binding. For each tool, we explain the specific requirements for iCLIP data analysis and suggest optimised parameter settings.

Identifiants

pubmed: 31751605
pii: S1046-2023(18)30494-8
doi: 10.1016/j.ymeth.2019.11.008
pii:
doi:

Substances chimiques

RNA 63231-63-0

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

49-62

Informations de copyright

Copyright © 2019 The Authors. Published by Elsevier Inc. All rights reserved.

Auteurs

Anke Busch (A)

Institute of Molecular Biology (IMB), Ackermannweg 4, 55128 Mainz, Germany.

Mirko Brüggemann (M)

Buchmann Institute for Molecular Life Sciences (BMLS), Goethe University Frankfurt, Max-von-Laue-Str. 15, 60438 Frankfurt, Germany.

Stefanie Ebersberger (S)

Institute of Molecular Biology (IMB), Ackermannweg 4, 55128 Mainz, Germany. Electronic address: s.ebersberger@imb-mainz.de.

Kathi Zarnack (K)

Buchmann Institute for Molecular Life Sciences (BMLS), Goethe University Frankfurt, Max-von-Laue-Str. 15, 60438 Frankfurt, Germany. Electronic address: kathi.zarnack@bmls.de.

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Classifications MeSH