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PLATE-Seq for genome-wide regulatory network analysis of high-throughput screens

Pharmacological and functional genomic screens play an essential role in the discovery and characterization of therapeutic targets and associated pharmacological inhibitors. Although these screens affect thousands of gene products, the typical readout is based on low complexity rather than genome-wi...

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Autores principales: Bush, Erin C., Ray, Forest, Alvarez, Mariano J., Realubit, Ronald, Li, Hai, Karan, Charles, Califano, Andrea, Sims, Peter A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5524642/
https://www.ncbi.nlm.nih.gov/pubmed/28740083
http://dx.doi.org/10.1038/s41467-017-00136-z
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author Bush, Erin C.
Ray, Forest
Alvarez, Mariano J.
Realubit, Ronald
Li, Hai
Karan, Charles
Califano, Andrea
Sims, Peter A.
author_facet Bush, Erin C.
Ray, Forest
Alvarez, Mariano J.
Realubit, Ronald
Li, Hai
Karan, Charles
Califano, Andrea
Sims, Peter A.
author_sort Bush, Erin C.
collection PubMed
description Pharmacological and functional genomic screens play an essential role in the discovery and characterization of therapeutic targets and associated pharmacological inhibitors. Although these screens affect thousands of gene products, the typical readout is based on low complexity rather than genome-wide assays. To address this limitation, we introduce pooled library amplification for transcriptome expression (PLATE-Seq), a low-cost, genome-wide mRNA profiling methodology specifically designed to complement high-throughput screening assays. Introduction of sample-specific barcodes during reverse transcription supports pooled library construction and low-depth sequencing that is 10- to 20-fold less expensive than conventional RNA-Seq. The use of network-based algorithms to infer protein activity from PLATE-Seq data results in comparable reproducibility to 30 M read sequencing. Indeed, PLATE-Seq reproducibility compares favorably to other large-scale perturbational profiling studies such as the connectivity map and library of integrated network-based cellular signatures.
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spelling pubmed-55246422017-07-28 PLATE-Seq for genome-wide regulatory network analysis of high-throughput screens Bush, Erin C. Ray, Forest Alvarez, Mariano J. Realubit, Ronald Li, Hai Karan, Charles Califano, Andrea Sims, Peter A. Nat Commun Article Pharmacological and functional genomic screens play an essential role in the discovery and characterization of therapeutic targets and associated pharmacological inhibitors. Although these screens affect thousands of gene products, the typical readout is based on low complexity rather than genome-wide assays. To address this limitation, we introduce pooled library amplification for transcriptome expression (PLATE-Seq), a low-cost, genome-wide mRNA profiling methodology specifically designed to complement high-throughput screening assays. Introduction of sample-specific barcodes during reverse transcription supports pooled library construction and low-depth sequencing that is 10- to 20-fold less expensive than conventional RNA-Seq. The use of network-based algorithms to infer protein activity from PLATE-Seq data results in comparable reproducibility to 30 M read sequencing. Indeed, PLATE-Seq reproducibility compares favorably to other large-scale perturbational profiling studies such as the connectivity map and library of integrated network-based cellular signatures. Nature Publishing Group UK 2017-07-24 /pmc/articles/PMC5524642/ /pubmed/28740083 http://dx.doi.org/10.1038/s41467-017-00136-z Text en © The Author(s) 2017 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Bush, Erin C.
Ray, Forest
Alvarez, Mariano J.
Realubit, Ronald
Li, Hai
Karan, Charles
Califano, Andrea
Sims, Peter A.
PLATE-Seq for genome-wide regulatory network analysis of high-throughput screens
title PLATE-Seq for genome-wide regulatory network analysis of high-throughput screens
title_full PLATE-Seq for genome-wide regulatory network analysis of high-throughput screens
title_fullStr PLATE-Seq for genome-wide regulatory network analysis of high-throughput screens
title_full_unstemmed PLATE-Seq for genome-wide regulatory network analysis of high-throughput screens
title_short PLATE-Seq for genome-wide regulatory network analysis of high-throughput screens
title_sort plate-seq for genome-wide regulatory network analysis of high-throughput screens
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5524642/
https://www.ncbi.nlm.nih.gov/pubmed/28740083
http://dx.doi.org/10.1038/s41467-017-00136-z
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