AI Article Synopsis

  • A new experimental platform called the Gene Modulation Array Platform (GMAP) has been developed to improve genome-wide screening methods using RNA interference and gene over-expression libraries in human, mouse, and yeast cells.
  • GMAP can effectively analyze large pools of shRNAs (around 78,000 to 90,000), demonstrating its usefulness in deconvolving complex genetic screens by comparing its performance with traditional sequencing methods.
  • The study outlines four key applications of GMAP, highlighting its ability to read out pooled shRNA screens and providing detailed methodologies for researchers in the field.

Article Abstract

Background: Genome-wide screening in human and mouse cells using RNA interference and open reading frame over-expression libraries is rapidly becoming a viable experimental approach for many research labs. There are a variety of gene expression modulation libraries commercially available, however, detailed and validated protocols as well as the reagents necessary for deconvolving genome-scale gene screens using these libraries are lacking. As a solution, we designed a comprehensive platform for highly multiplexed functional genetic screens in human, mouse and yeast cells using popular, commercially available gene modulation libraries. The Gene Modulation Array Platform (GMAP) is a single microarray-based detection solution for deconvolution of loss and gain-of-function pooled screens.

Results: Experiments with specially constructed lentiviral-based plasmid pools containing ~78,000 shRNAs demonstrated that the GMAP is capable of deconvolving genome-wide shRNA "dropout" screens. Further experiments with a larger, ~90,000 shRNA pool demonstrate that equivalent results are obtained from plasmid pools and from genomic DNA derived from lentivirus infected cells. Parallel testing of large shRNA pools using GMAP and next-generation sequencing methods revealed that the two methods provide valid and complementary approaches to deconvolution of genome-wide shRNA screens. Additional experiments demonstrated that GMAP is equivalent to similar microarray-based products when used for deconvolution of open reading frame over-expression screens.

Conclusion: Herein, we demonstrate four major applications for the GMAP resource, including deconvolution of pooled RNAi screens in cells with at least 90,000 distinct shRNAs. We also provide detailed methodologies for pooled shRNA screen readout using GMAP and compare next-generation sequencing to GMAP (i.e. microarray) based deconvolution methods.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3115879PMC
http://dx.doi.org/10.1186/1471-2164-12-213DOI Listing

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