ArticleBMC genomics2011
A comprehensive platform for highly multiplexed mammalian functional genetic screens.
Article in BMC genomics, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
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Who cites it
20 citing papers in PubMed, 40 citations in OpenAlex.
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- Target discovery screens using pooled shRNA libraries and next-generation sequencing: A model workflow and analytical algorithm.PloS one · 2018Article
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- Miniature short hairpin RNA screens to characterize antiproliferative drugs.G3 (Bethesda, Md.) · 2013Article
- Functional genomic screen of human stem cell differentiation reveals pathways involved in neurodevelopment and neurodegeneration.Proceedings of the National Academy of Sciences of the United States of America · 2013Article
- Comparative chemogenomics to examine the mechanism of action of dna-targeted platinum-acridine anticancer agents.ACS chemical biology · 2012Article
- Essential gene profiles in breast, pancreatic, and ovarian cancer cells.Cancer discovery · 2012Article
- Novel immune-modulator identified by a rapid, functional screen of the parapoxvirus ovis (Orf virus) genome.Proteome science · 2012Article
- COLT-Cancer: functional genetic screening resource for essential genes in human cancer cell lines.Nucleic acids research · 2012Article
- Optimized PCR conditions and increased shRNA fold representation improve reproducibility of pooled shRNA screens.PloS one · 2012Article
- MISSION LentiPlex pooled shRNA library screening in mammalian cells.Journal of visualized experiments : JoVE · 2011Article
- CD133 protein N-glycosylation processing contributes to cell surface recognition of the primitive cell marker AC133 epitope.The Journal of biological chemistry · 2011Article
- RNAi screening: new approaches, understandings, and organisms.Wiley interdisciplinary reviews. RNAReview
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
22 authors at 2 institutions in 2 countries.
Funding
Abstract
backgroundGenome-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.
resultsExperiments 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.
conclusionHerein, 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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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.