Literature DB >> 35118177

Identification of Protein-RNA Interactions in Mouse Testis Tissue Using fRIP.

Alexis S Bailey1, Pedro J Batista2, Howard Y Chang3, Margaret T Fuller1.   

Abstract

During development, cells must quickly switch from one cell state to the next to execute precise and timely differentiation. One method to ensure fast transitions in cell states is by controlling gene expression at the post-transcriptional level through action of RNA-binding proteins on mRNAs. The ability to accurately identify the RNA targets of RNA-binding proteins at specific stages is key to understanding the functional role of RNA-binding proteins during development. Here we describe an adapted formaldehyde RNA immunoprecipitation (fRIP) protocol to identify the in vivo RNA targets of a cytoplasmic RNA-binding protein, YTHDC2, from testis, during the first wave of spermatogenesis, at the stage when germ cells are shutting off the proliferative program and initiating terminal differentiation ( Bailey et al., 2017 ). This protocol enables quick and efficient identification of endogenous RNAs bound to an RNA-binding protein, and facilitates the monitoring of stage-specific changes during development.
Copyright © The Authors; exclusive licensee Bio-protocol LLC.

Entities:  

Keywords:  Immunoprecipitation; Post-transcriptional regulation; Protein-RNA interactions; RNA targets; RNA-binding proteins; fRIP

Year:  2022        PMID: 35118177      PMCID: PMC8769761          DOI: 10.21769/BioProtoc.4286

Source DB:  PubMed          Journal:  Bio Protoc        ISSN: 2331-8325


  8 in total

Review 1.  Methods to study RNA-protein interactions.

Authors:  Muthukumar Ramanathan; Douglas F Porter; Paul A Khavari
Journal:  Nat Methods       Date:  2019-02-25       Impact factor: 28.547

2.  STAR: ultrafast universal RNA-seq aligner.

Authors:  Alexander Dobin; Carrie A Davis; Felix Schlesinger; Jorg Drenkow; Chris Zaleski; Sonali Jha; Philippe Batut; Mark Chaisson; Thomas R Gingeras
Journal:  Bioinformatics       Date:  2012-10-25       Impact factor: 6.937

3.  Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2.

Authors:  Michael I Love; Wolfgang Huber; Simon Anders
Journal:  Genome Biol       Date:  2014       Impact factor: 13.583

4.  HTSeq--a Python framework to work with high-throughput sequencing data.

Authors:  Simon Anders; Paul Theodor Pyl; Wolfgang Huber
Journal:  Bioinformatics       Date:  2014-09-25       Impact factor: 6.937

5.  The conserved RNA helicase YTHDC2 regulates the transition from proliferation to differentiation in the germline.

Authors:  Alexis S Bailey; Pedro J Batista; Rebecca S Gold; Y Grace Chen; Dirk G de Rooij; Howard Y Chang; Margaret T Fuller
Journal:  Elife       Date:  2017-10-31       Impact factor: 8.140

Review 6.  RNA-binding proteins and post-transcriptional gene regulation.

Authors:  Tina Glisovic; Jennifer L Bachorik; Jeongsik Yong; Gideon Dreyfuss
Journal:  FEBS Lett       Date:  2008-03-13       Impact factor: 4.124

7.  Widespread RNA binding by chromatin-associated proteins.

Authors:  David G Hendrickson; David R Kelley; Danielle Tenen; Bradley Bernstein; John L Rinn
Journal:  Genome Biol       Date:  2016-02-16       Impact factor: 13.583

Review 8.  Compendium of Methods to Uncover RNA-Protein Interactions In Vivo.

Authors:  Mrinmoyee Majumder; Viswanathan Palanisamy
Journal:  Methods Protoc       Date:  2021-03-19
  8 in total

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