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Broad network-based predictability of Saccharomyces cerevisiae gene loss-of-function phenotypes
We demonstrate that loss-of-function yeast phenotypes are predictable by guilt-by-association in functional gene networks. Testing 1,102 loss-of-function phenotypes from genome-wide assays of yeast reveals predictability of diverse phenotypes, spanning cellular morphology, growth, metabolism, and qu...
Autores principales: | , , |
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Formato: | Texto |
Lenguaje: | English |
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BioMed Central
2007
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2246260/ https://www.ncbi.nlm.nih.gov/pubmed/18053250 http://dx.doi.org/10.1186/gb-2007-8-12-r258 |
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author | McGary, Kriston L Lee, Insuk Marcotte, Edward M |
author_facet | McGary, Kriston L Lee, Insuk Marcotte, Edward M |
author_sort | McGary, Kriston L |
collection | PubMed |
description | We demonstrate that loss-of-function yeast phenotypes are predictable by guilt-by-association in functional gene networks. Testing 1,102 loss-of-function phenotypes from genome-wide assays of yeast reveals predictability of diverse phenotypes, spanning cellular morphology, growth, metabolism, and quantitative cell shape features. We apply the method to extend a genome-wide screen by predicting, then verifying, genes whose disruption elongates yeast cells, and to predict human disease genes. To facilitate network-guided screens, a web server is available . |
format | Text |
id | pubmed-2246260 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2007 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-22462602008-02-20 Broad network-based predictability of Saccharomyces cerevisiae gene loss-of-function phenotypes McGary, Kriston L Lee, Insuk Marcotte, Edward M Genome Biol Method We demonstrate that loss-of-function yeast phenotypes are predictable by guilt-by-association in functional gene networks. Testing 1,102 loss-of-function phenotypes from genome-wide assays of yeast reveals predictability of diverse phenotypes, spanning cellular morphology, growth, metabolism, and quantitative cell shape features. We apply the method to extend a genome-wide screen by predicting, then verifying, genes whose disruption elongates yeast cells, and to predict human disease genes. To facilitate network-guided screens, a web server is available . BioMed Central 2007 2007-12-05 /pmc/articles/PMC2246260/ /pubmed/18053250 http://dx.doi.org/10.1186/gb-2007-8-12-r258 Text en Copyright © 2007 McGary 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 | Method McGary, Kriston L Lee, Insuk Marcotte, Edward M Broad network-based predictability of Saccharomyces cerevisiae gene loss-of-function phenotypes |
title | Broad network-based predictability of Saccharomyces cerevisiae gene loss-of-function phenotypes |
title_full | Broad network-based predictability of Saccharomyces cerevisiae gene loss-of-function phenotypes |
title_fullStr | Broad network-based predictability of Saccharomyces cerevisiae gene loss-of-function phenotypes |
title_full_unstemmed | Broad network-based predictability of Saccharomyces cerevisiae gene loss-of-function phenotypes |
title_short | Broad network-based predictability of Saccharomyces cerevisiae gene loss-of-function phenotypes |
title_sort | broad network-based predictability of saccharomyces cerevisiae gene loss-of-function phenotypes |
topic | Method |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2246260/ https://www.ncbi.nlm.nih.gov/pubmed/18053250 http://dx.doi.org/10.1186/gb-2007-8-12-r258 |
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