Cargando…

Advances and challenges in the detection of transcriptome‐wide protein–RNA interactions

RNA binding proteins (RBPs) play key roles in determining cellular behavior by manipulating the processing of target RNAs. Robust methods are required to detect the numerous binding sites of RBPs across the transcriptome. RNA‐immunoprecipitation followed by sequencing (RIP‐seq) and crosslinking foll...

Descripción completa

Detalles Bibliográficos
Autores principales: Wheeler, Emily C., Van Nostrand, Eric L., Yeo, Gene W.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley & Sons, Inc. 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5739989/
https://www.ncbi.nlm.nih.gov/pubmed/28853213
http://dx.doi.org/10.1002/wrna.1436
_version_ 1783287967492603904
author Wheeler, Emily C.
Van Nostrand, Eric L.
Yeo, Gene W.
author_facet Wheeler, Emily C.
Van Nostrand, Eric L.
Yeo, Gene W.
author_sort Wheeler, Emily C.
collection PubMed
description RNA binding proteins (RBPs) play key roles in determining cellular behavior by manipulating the processing of target RNAs. Robust methods are required to detect the numerous binding sites of RBPs across the transcriptome. RNA‐immunoprecipitation followed by sequencing (RIP‐seq) and crosslinking followed by immunoprecipitation and sequencing (CLIP‐seq) are state‐of‐the‐art methods used to identify the RNA targets and specific binding sites of RBPs. Historically, CLIP methods have been confounded with challenges such as the requirement for tens of millions of cells per experiment, low RNA yields resulting in libraries that contain a high number of polymerase chain reaction duplicated reads, and technical inconveniences such as radioactive labeling of RNAs. However, recent improvements in the recovery of bound RNAs and the efficiency of converting isolated RNAs into a library for sequencing have enhanced our ability to perform the experiment at scale, from less starting material than has previously been possible, and resulting in high quality datasets for the confident identification of protein binding sites. These, along with additional improvements to protein capture, removal of nonspecific signals, and methods to isolate noncanonical RBP targets have revolutionized the study of RNA processing regulation, and reveal a promising future for mapping the human protein‐RNA regulatory network. WIREs RNA 2018, 9:e1436. doi: 10.1002/wrna.1436 1.. RNA Interactions with Proteins and Other Molecules > Protein–RNA Recognition; 2.. RNA Interactions with Proteins and Other Molecules > Protein–RNA Interactions: Functional Implications; 3.. RNA Methods > RNA Analyses in Cells.
format Online
Article
Text
id pubmed-5739989
institution National Center for Biotechnology Information
language English
publishDate 2017
publisher John Wiley & Sons, Inc.
record_format MEDLINE/PubMed
spelling pubmed-57399892018-01-17 Advances and challenges in the detection of transcriptome‐wide protein–RNA interactions Wheeler, Emily C. Van Nostrand, Eric L. Yeo, Gene W. Wiley Interdiscip Rev RNA Opinion RNA binding proteins (RBPs) play key roles in determining cellular behavior by manipulating the processing of target RNAs. Robust methods are required to detect the numerous binding sites of RBPs across the transcriptome. RNA‐immunoprecipitation followed by sequencing (RIP‐seq) and crosslinking followed by immunoprecipitation and sequencing (CLIP‐seq) are state‐of‐the‐art methods used to identify the RNA targets and specific binding sites of RBPs. Historically, CLIP methods have been confounded with challenges such as the requirement for tens of millions of cells per experiment, low RNA yields resulting in libraries that contain a high number of polymerase chain reaction duplicated reads, and technical inconveniences such as radioactive labeling of RNAs. However, recent improvements in the recovery of bound RNAs and the efficiency of converting isolated RNAs into a library for sequencing have enhanced our ability to perform the experiment at scale, from less starting material than has previously been possible, and resulting in high quality datasets for the confident identification of protein binding sites. These, along with additional improvements to protein capture, removal of nonspecific signals, and methods to isolate noncanonical RBP targets have revolutionized the study of RNA processing regulation, and reveal a promising future for mapping the human protein‐RNA regulatory network. WIREs RNA 2018, 9:e1436. doi: 10.1002/wrna.1436 1.. RNA Interactions with Proteins and Other Molecules > Protein–RNA Recognition; 2.. RNA Interactions with Proteins and Other Molecules > Protein–RNA Interactions: Functional Implications; 3.. RNA Methods > RNA Analyses in Cells. John Wiley & Sons, Inc. 2017-08-29 2018 /pmc/articles/PMC5739989/ /pubmed/28853213 http://dx.doi.org/10.1002/wrna.1436 Text en © 2017 The Authors. WIREs RNA published by Wiley Periodicals, Inc. This is an open access article under the terms of the Creative Commons Attribution‐NonCommercial (http://creativecommons.org/licenses/by-nc/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.
spellingShingle Opinion
Wheeler, Emily C.
Van Nostrand, Eric L.
Yeo, Gene W.
Advances and challenges in the detection of transcriptome‐wide protein–RNA interactions
title Advances and challenges in the detection of transcriptome‐wide protein–RNA interactions
title_full Advances and challenges in the detection of transcriptome‐wide protein–RNA interactions
title_fullStr Advances and challenges in the detection of transcriptome‐wide protein–RNA interactions
title_full_unstemmed Advances and challenges in the detection of transcriptome‐wide protein–RNA interactions
title_short Advances and challenges in the detection of transcriptome‐wide protein–RNA interactions
title_sort advances and challenges in the detection of transcriptome‐wide protein–rna interactions
topic Opinion
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5739989/
https://www.ncbi.nlm.nih.gov/pubmed/28853213
http://dx.doi.org/10.1002/wrna.1436
work_keys_str_mv AT wheeleremilyc advancesandchallengesinthedetectionoftranscriptomewideproteinrnainteractions
AT vannostrandericl advancesandchallengesinthedetectionoftranscriptomewideproteinrnainteractions
AT yeogenew advancesandchallengesinthedetectionoftranscriptomewideproteinrnainteractions