Literature DB >> 17406249

RIP-Chip: the isolation and identification of mRNAs, microRNAs and protein components of ribonucleoprotein complexes from cell extracts.

Jack D Keene1, Jordan M Komisarow, Matthew B Friedersdorf.   

Abstract

RNA targets of multitargeted RNA-binding proteins (RBPs) can be studied by various methods including mobility shift assays, iterative in vitro selection techniques and computational approaches. These techniques, however, cannot be used to identify the cellular context within which mRNAs associate, nor can they be used to elucidate the dynamic composition of RNAs in ribonucleoprotein (RNP) complexes in response to physiological stimuli. But by combining biochemical and genomics procedures to isolate and identify RNAs associated with RNA-binding proteins, information regarding RNA-protein and RNA-RNA interactions can be examined more directly within a cellular context. Several protocols--including the yeast three-hybrid system and immunoprecipitations that use physical or chemical cross-linking--have been developed to address this issue. Cross-linking procedures in general, however, are limited by inefficiency and sequence biases. The approach outlined here, termed RNP immunoprecipitation-microarray (RIP-Chip), allows the identification of discrete subsets of RNAs associated with multi-targeted RNA-binding proteins and provides information regarding changes in the intracellular composition of mRNPs in response to physical, chemical or developmental inducements of living systems. Thus, RIP-Chip can be used to identify subsets of RNAs that have related functions and are potentially co-regulated, as well as proteins that are associated with them in RNP complexes. Using RIP-Chip, the identification and/or quantification of RNAs in RNP complexes can be accomplished within a few hours or days depending on the RNA detection method used.

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Year:  2006        PMID: 17406249     DOI: 10.1038/nprot.2006.47

Source DB:  PubMed          Journal:  Nat Protoc        ISSN: 1750-2799            Impact factor:   13.491


  286 in total

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2.  Individual microRNAs (miRNAs) display distinct mRNA targeting "rules".

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3.  Predicting in vivo binding sites of RNA-binding proteins using mRNA secondary structure.

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Journal:  RNA       Date:  2010-04-23       Impact factor: 4.942

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Journal:  Brief Funct Genomics       Date:  2010-12-01       Impact factor: 4.241

Review 5.  Regulation of senescence by microRNA biogenesis factors.

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6.  A Pleiotropic RNA-Binding Protein Controls Distinct Cell Cycle Checkpoints to Drive Resistance of p53-Defective Tumors to Chemotherapy.

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7.  Deficiency of the placenta- and yolk sac-specific tristetraprolin family member ZFP36L3 identifies likely mRNA targets and an unexpected link to placental iron metabolism.

Authors:  Deborah J Stumpo; Carol S Trempus; Charles J Tucker; Weichun Huang; Leping Li; Kimberly Kluckman; Donna M Bortner; Perry J Blackshear
Journal:  Development       Date:  2016-03-07       Impact factor: 6.868

8.  Allogeneic T cell responses are regulated by a specific miRNA-mRNA network.

Authors:  Yaping Sun; Isao Tawara; Meng Zhao; Zhaohui S Qin; Tomomi Toubai; Nathan Mathewson; Hiroya Tamaki; Evelyn Nieves; Arul M Chinnaiyan; Pavan Reddy
Journal:  J Clin Invest       Date:  2013-11       Impact factor: 14.808

9.  RIPiT-Seq: a high-throughput approach for footprinting RNA:protein complexes.

Authors:  Guramrit Singh; Emiliano P Ricci; Melissa J Moore
Journal:  Methods       Date:  2013-10-02       Impact factor: 3.608

10.  Identification of MicroRNA-124-3p as a Putative Epigenetic Signature of Major Depressive Disorder.

Authors:  Bhaskar Roy; Michael Dunbar; Richard C Shelton; Yogesh Dwivedi
Journal:  Neuropsychopharmacology       Date:  2016-08-31       Impact factor: 7.853

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