Document Detail

RIP-Chip analysis: RNA-Binding Protein Immunoprecipitation-Microarray (Chip) Profiling.
MedLine Citation:
PMID:  21125495     Owner:  NLM     Status:  In-Process    
Post-transcriptional regulation of gene expression plays an important role in complex cellular processes. Just like transcription factors regulate gene expression through combinatorial binding to multiple, physically dispersed cis elements, mRNA binding proteins can regulate the translation of functionally related gene products by coordinately binding to subsets of mRNAs. The networks of mRNA binding proteins that facilitate this fine-tuning of gene expression are poorly understood. By combining genomic technologies with standard molecular biology tools, we have helped pioneer the development of high-throughput technologies for the global analysis of subsets of mRNAs bound to RNA-binding proteins. This technique is termed RIP-Chip and stands for RNA-Binding Protein Immunoprecipitation-Microarray (Chip) Profiling. This approach is also referred to as "ribonomic profiling" and has revealed valuable information about the workings of mRNP networks in the cell and the regulation of gene expression. In this chapter, we describe the latest advances that we have made in the RIP-CHIP technology.
Ritu Jain; Tiffany Devine; Ajish D George; Sridar V Chittur; Timothy E Baroni; Luiz O Penalva; Scott A Tenenbaum
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Publication Detail:
Type:  Journal Article; Research Support, N.I.H., Extramural    
Journal Detail:
Title:  Methods in molecular biology (Clifton, N.J.)     Volume:  703     ISSN:  1940-6029     ISO Abbreviation:  Methods Mol. Biol.     Publication Date:  2011  
Date Detail:
Created Date:  2010-12-02     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  9214969     Medline TA:  Methods Mol Biol     Country:  United States    
Other Details:
Languages:  eng     Pagination:  247-63     Citation Subset:  IM    
Department of Biomedical Sciences, School of Public Health, Gen*NY*Sis Center for Excellence in Cancer Genomics, University at Albany-SUNY, Rensselaer, NY, USA.
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