RASL‐seq for massively parallel and quantitative analysis of gene expression

H Li, J Qiu, XD Fu - Current protocols in molecular biology, 2012 - Wiley Online Library
H Li, J Qiu, XD Fu
Current protocols in molecular biology, 2012Wiley Online Library
Large‐scale, quantitative analysis of gene expression can be accomplished by microarray
or RNA‐seq analysis. While these methods are applicable to genome‐wide analysis, it is
often desirable to quantify expression of a more limited set of genes in hundreds, thousands,
or even tens of thousands of biological samples. For example, some studies may require
monitoring a sizable panel of key genes under many different experimental conditions,
during development, or following treatment with a large library of small molecules, for which …
Abstract
Large‐scale, quantitative analysis of gene expression can be accomplished by microarray or RNA‐seq analysis. While these methods are applicable to genome‐wide analysis, it is often desirable to quantify expression of a more limited set of genes in hundreds, thousands, or even tens of thousands of biological samples. For example, some studies may require monitoring a sizable panel of key genes under many different experimental conditions, during development, or following treatment with a large library of small molecules, for which current genome‐wide methods are either inefficient or cost‐prohibitive. This unit presents a method that permits quantitative profiling of several hundred selected genes in a large number of samples by coupling RNA‐mediated oligonucleotide Annealing, Selection, and Ligation with Next‐Gen sequencing (RASL‐seq). The method even allows direct analysis of RNA levels in cell lysates and is also adaptable to full automation, making it ideal for large‐scale analysis of multiple biological pathways or regulatory gene networks in the context of systematic genetic or chemical genetic perturbations. Curr. Protoc. Mol. Biol. 98:4.13.1‐4.13.9. © 2012 by John Wiley & Sons, Inc.
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