Literature DB >> 18369977

Advances in RIP-chip analysis : RNA-binding protein immunoprecipitation-microarray profiling.

Timothy E Baroni1, Sridar V Chittur, Ajish D George, Scott A Tenenbaum.   

Abstract

In eukaryotic organisms, gene regulatory networks require an additional level of coordination that links transcriptional and post-transcriptional processes. Messenger RNAs have traditionally been viewed as passive molecules in the pathway from transcription to translation. However, it is now clear that RNA-binding proteins (RBPs) play a major role in regulating multiple mRNAs to facilitate gene expression patterns. On this basis, post-transcriptional and transcriptional gene expression networks appear to be very analogous. Our previous research focused on targeting RBPs to develop a better understanding of post-transcriptional gene-expression processing and the regulation of mRNA networks. We developed technologies for purifying endogenously formed RBP-mRNA complexes from cellular extracts and identifying the associated messages using genome-scale, microarray technology, a method called ribonomics or RNA-binding protein immunoprecipitation-microarray (Chip) profiling or RIP-Chip. The use of the RIP-Chip methods has provided great insight into the infrastructure of coordinated eukaryotic post-transcriptional gene expression, insights which could not have been obtained using traditional RNA expression profiling approaches (1). This chapter describes the most current RIP-Chip techniques as we presently practice them. We also discuss some of the informatic aspects that are unique to analyzing RIP-Chip data.

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Year:  2008        PMID: 18369977     DOI: 10.1007/978-1-59745-033-1_6

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  45 in total

1.  RNase-assisted RNA chromatography.

Authors:  Gracjan Michlewski; Javier F Cáceres
Journal:  RNA       Date:  2010-06-22       Impact factor: 4.942

Review 2.  Deciphering the role of RNA-binding proteins in the post-transcriptional control of gene expression.

Authors:  Shivendra Kishore; Sandra Luber; Mihaela Zavolan
Journal:  Brief Funct Genomics       Date:  2010-12-01       Impact factor: 4.241

3.  An Efficient Method for Electroporation of Small Interfering RNAs into ENCODE Project Tier 1 GM12878 and K562 Cell Lines.

Authors:  Ryan Y Muller; Ming C Hammond; Donald C Rio; Yeon J Lee
Journal:  J Biomol Tech       Date:  2015-10-29

4.  Multifunctional factor ENY2 is associated with the THO complex and promotes its recruitment onto nascent mRNA.

Authors:  Daria V Kopytova; Anastasija V Orlova; Alexey N Krasnov; Dmitriy Ya Gurskiy; Julia V Nikolenko; Elena N Nabirochkina; Yulii V Shidlovskii; Sofia G Georgieva
Journal:  Genes Dev       Date:  2010-01-01       Impact factor: 11.361

5.  Transcriptional interference by small transcripts in proximal promoter regions.

Authors:  Amit Pande; Jürgen Brosius; Izabela Makalowska; Wojciech Makalowski; Carsten A Raabe
Journal:  Nucleic Acids Res       Date:  2018-02-16       Impact factor: 16.971

6.  Alternative polyadenylation in glioblastoma multiforme and changes in predicted RNA binding protein profiles.

Authors:  Jiaofang Shao; Jing Zhang; Zengming Zhang; Huawei Jiang; Xiaoyan Lou; Bingding Huang; Gregory Foltz; Qing Lan; Qiang Huang; Biaoyang Lin
Journal:  OMICS       Date:  2013-02-19

7.  Asymmetric segregation of the double-stranded RNA binding protein Staufen2 during mammalian neural stem cell divisions promotes lineage progression.

Authors:  Gretchen Kusek; Melissa Campbell; Frank Doyle; Scott A Tenenbaum; Michael Kiebler; Sally Temple
Journal:  Cell Stem Cell       Date:  2012-08-16       Impact factor: 24.633

8.  Analysis of the initiating events in HIV-1 particle assembly and genome packaging.

Authors:  Sebla B Kutluay; Paul D Bieniasz
Journal:  PLoS Pathog       Date:  2010-11-18       Impact factor: 6.823

9.  Disease-associated mutations that alter the RNA structural ensemble.

Authors:  Matthew Halvorsen; Joshua S Martin; Sam Broadaway; Alain Laederach
Journal:  PLoS Genet       Date:  2010-08-19       Impact factor: 5.917

10.  Identification of a putative network of actin-associated cytoskeletal proteins in glomerular podocytes defined by co-purified mRNAs.

Authors:  Behnam Nabet; Arthur Tsai; John W Tobias; Russ P Carstens
Journal:  PLoS One       Date:  2009-08-04       Impact factor: 3.240

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