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Systematic quantification of gene interactions by phenotypic array analysis

A phenotypic array method, developed for quantifying cell growth, was applied to the haploid and homozygous diploid yeast deletion strain sets. A growth index was developed to screen for non-additive interacting effects between gene deletion and induced perturbations. From a genome screen for hydrox...

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Detalles Bibliográficos
Autores principales: Hartman, John L, Tippery, Nicholas P
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2004
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC463315/
https://www.ncbi.nlm.nih.gov/pubmed/15239834
http://dx.doi.org/10.1186/gb-2004-5-7-r49
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author Hartman, John L
Tippery, Nicholas P
author_facet Hartman, John L
Tippery, Nicholas P
author_sort Hartman, John L
collection PubMed
description A phenotypic array method, developed for quantifying cell growth, was applied to the haploid and homozygous diploid yeast deletion strain sets. A growth index was developed to screen for non-additive interacting effects between gene deletion and induced perturbations. From a genome screen for hydroxyurea (HU) chemical-genetic interactions, 298 haploid deletion strains were selected for further analysis. The strength of interactions was quantified using a wide range of HU concentrations affecting reference strain growth. The selectivity of interaction was determined by comparison with drugs targeting other cellular processes. Bio-modules were defined as gene clusters with shared strength and selectivity of interaction profiles. The functions and connectivity of modules involved in processes such as DNA repair, protein secretion and metabolic control were inferred from their respective gene composition. The work provides an example of, and a general experimental framework for, quantitative analysis of gene interaction networks that buffer cell growth.
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spelling pubmed-4633152004-07-16 Systematic quantification of gene interactions by phenotypic array analysis Hartman, John L Tippery, Nicholas P Genome Biol Method A phenotypic array method, developed for quantifying cell growth, was applied to the haploid and homozygous diploid yeast deletion strain sets. A growth index was developed to screen for non-additive interacting effects between gene deletion and induced perturbations. From a genome screen for hydroxyurea (HU) chemical-genetic interactions, 298 haploid deletion strains were selected for further analysis. The strength of interactions was quantified using a wide range of HU concentrations affecting reference strain growth. The selectivity of interaction was determined by comparison with drugs targeting other cellular processes. Bio-modules were defined as gene clusters with shared strength and selectivity of interaction profiles. The functions and connectivity of modules involved in processes such as DNA repair, protein secretion and metabolic control were inferred from their respective gene composition. The work provides an example of, and a general experimental framework for, quantitative analysis of gene interaction networks that buffer cell growth. BioMed Central 2004 2004-06-29 /pmc/articles/PMC463315/ /pubmed/15239834 http://dx.doi.org/10.1186/gb-2004-5-7-r49 Text en Copyright © 2004 Hartman and Tippery; licensee BioMed Central Ltd. This is an Open Access article: verbatim copying and redistribution of this article are permitted in all media for any purpose, provided this notice is preserved along with the article's original URL.
spellingShingle Method
Hartman, John L
Tippery, Nicholas P
Systematic quantification of gene interactions by phenotypic array analysis
title Systematic quantification of gene interactions by phenotypic array analysis
title_full Systematic quantification of gene interactions by phenotypic array analysis
title_fullStr Systematic quantification of gene interactions by phenotypic array analysis
title_full_unstemmed Systematic quantification of gene interactions by phenotypic array analysis
title_short Systematic quantification of gene interactions by phenotypic array analysis
title_sort systematic quantification of gene interactions by phenotypic array analysis
topic Method
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC463315/
https://www.ncbi.nlm.nih.gov/pubmed/15239834
http://dx.doi.org/10.1186/gb-2004-5-7-r49
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