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Systems analysis of quantitative shRNA-library screens identifies regulators of cell adhesion
BACKGROUND: High throughput screens with RNA interference technology enable loss-of-function analyses of gene activities in mammalian cells. While the construction of genome-scale shRNA libraries has been successful, results of large-scale screening of those libraries can be difficult to analyze bec...
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Formato: | Texto |
Lenguaje: | English |
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BioMed Central
2008
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2441606/ https://www.ncbi.nlm.nih.gov/pubmed/18549508 http://dx.doi.org/10.1186/1752-0509-2-49 |
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author | Huang, XiaoDong Wang, Jean YJ Lu, Xin |
author_facet | Huang, XiaoDong Wang, Jean YJ Lu, Xin |
author_sort | Huang, XiaoDong |
collection | PubMed |
description | BACKGROUND: High throughput screens with RNA interference technology enable loss-of-function analyses of gene activities in mammalian cells. While the construction of genome-scale shRNA libraries has been successful, results of large-scale screening of those libraries can be difficult to analyze because of the relatively high noise levels and the fact that not all shRNAs in a library are equally effective in silencing gene expression. RESULTS: We have screened a library consisting of 43,828 shRNAs directed against 8,500 human genes for functions that are necessary in cell detachment induced by a constitutively activated c-Abl tyrosine kinase. To deal with the issues of noise and uncertainty of knockdown efficiencies, we employed an analytical strategy that combines quantitative data analysis with biological knowledge, i.e. Gene Ontology and pathway information, to increase the power of the RNAi screening technique. Using this strategy we found 16 candidate genes to be involved in Abl-induced disruption of cell adhesion, and verified that the knockdown of IL6ST is associated with enhanced cell attachment. CONCLUSION: Our results suggest that the power of genome-wide quantitative shRNA screens can be significantly increased when analyzed using a systems biology-based approach to identify functional gene networks. |
format | Text |
id | pubmed-2441606 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2008 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-24416062008-06-28 Systems analysis of quantitative shRNA-library screens identifies regulators of cell adhesion Huang, XiaoDong Wang, Jean YJ Lu, Xin BMC Syst Biol Research Article BACKGROUND: High throughput screens with RNA interference technology enable loss-of-function analyses of gene activities in mammalian cells. While the construction of genome-scale shRNA libraries has been successful, results of large-scale screening of those libraries can be difficult to analyze because of the relatively high noise levels and the fact that not all shRNAs in a library are equally effective in silencing gene expression. RESULTS: We have screened a library consisting of 43,828 shRNAs directed against 8,500 human genes for functions that are necessary in cell detachment induced by a constitutively activated c-Abl tyrosine kinase. To deal with the issues of noise and uncertainty of knockdown efficiencies, we employed an analytical strategy that combines quantitative data analysis with biological knowledge, i.e. Gene Ontology and pathway information, to increase the power of the RNAi screening technique. Using this strategy we found 16 candidate genes to be involved in Abl-induced disruption of cell adhesion, and verified that the knockdown of IL6ST is associated with enhanced cell attachment. CONCLUSION: Our results suggest that the power of genome-wide quantitative shRNA screens can be significantly increased when analyzed using a systems biology-based approach to identify functional gene networks. BioMed Central 2008-06-13 /pmc/articles/PMC2441606/ /pubmed/18549508 http://dx.doi.org/10.1186/1752-0509-2-49 Text en Copyright © 2008 Huang et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( (http://creativecommons.org/licenses/by/2.0) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Huang, XiaoDong Wang, Jean YJ Lu, Xin Systems analysis of quantitative shRNA-library screens identifies regulators of cell adhesion |
title | Systems analysis of quantitative shRNA-library screens identifies regulators of cell adhesion |
title_full | Systems analysis of quantitative shRNA-library screens identifies regulators of cell adhesion |
title_fullStr | Systems analysis of quantitative shRNA-library screens identifies regulators of cell adhesion |
title_full_unstemmed | Systems analysis of quantitative shRNA-library screens identifies regulators of cell adhesion |
title_short | Systems analysis of quantitative shRNA-library screens identifies regulators of cell adhesion |
title_sort | systems analysis of quantitative shrna-library screens identifies regulators of cell adhesion |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2441606/ https://www.ncbi.nlm.nih.gov/pubmed/18549508 http://dx.doi.org/10.1186/1752-0509-2-49 |
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