title: RASL-seq for massively parallel and quantitative analysis of gene expression.
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.
authors.affiliation: Department of Cellular and Molecular Medicine, University of California, San Diego, La Jolla, California, USA.
authors.forename: Hairi
authors.initials: H
authors.lastname: Li
authors.forename: Jinsong
authors.initials: J
authors.lastname: Qiu
authors.forename: Xiang-Dong
authors.initials: XD
authors.lastname: Fu
mesh_terms: D001331:Automation / Q000379:methods; D020869:Gene Expression Profiling / Q000379:methods*; D059014:High-Throughput Nucleotide Sequencing / Q000379:methods*; D012313:RNA / Q000032:analysis* / Q000235:genetics / Q000302:isolation & purification*
chemical_list: D012313:RNA