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Methods Mol Biol. 2008;419:93-108. doi: 10.1007/978-1-59745-033-1_6.

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

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Department of Biomedical Sciences, University at Albany-SUNY, School of Public Health, Rensselaer, NY, USA.


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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