Linking functionally related genes by sensitive and quantitative characterization of genetic interaction profiles Export

@article{citeulike:2675285, abstract = {Describing at a genomic scale how mutations in different genes influence one another is essential to the understanding of how genotype correlates with phenotype and remains a major challenge in biology. Previous studies pointed out the need for accurate measurements of not only synthetic but also buffering interactions in the characterization of genetic networks and functional modules. We developed a sensitive and efficient method that allows such measurements at a genomic scale in yeast. In a pilot experiment (41 genome-wide screens), we quantified the fitness of 140,000 double deletion strains relative to the corresponding single mutants and identified many genetic interactions. In addition to synthetic growth defects (validated experimentally with factors newly identified as genetically interfering with mRNA degradation), most of the identified genetic interactions measured weak epistatic effects. These weak effects, rarely meaningful when considered individually, were crucial to defining specific signatures for many gene deletions and had a major contribution in defining clusters of functionally related genes. 10.1073/pnas.0710533105}, author = {Decourty, Laurence and Saveanu, Cosmin and Zemam, Kenza and Hantraye, Florence and Frachon, Emmanuel and Rousselle, Jean-Claude and Fromont-Racine, Micheline and Jacquier, Alain}, citeulike-article-id = {2675285}, citeulike-linkout-0 = {http://dx.doi.org/10.1073/pnas.0710533105}, citeulike-linkout-1 = {http://www.pnas.org/content/105/15/5821.abstract}, citeulike-linkout-2 = {http://www.pnas.org/content/105/15/5821.full.pdf}, citeulike-linkout-3 = {http://www.pnas.org/cgi/content/abstract/105/15/5821}, citeulike-linkout-4 = {http://view.ncbi.nlm.nih.gov/pubmed/18408161}, citeulike-linkout-5 = {http://www.hubmed.org/display.cgi?uids=18408161}, day = {15}, doi = {10.1073/pnas.0710533105}, journal = {Proceedings of the National Academy of Sciences}, keywords = {barcode, deletion, genomics, ht, interaction, technique}, month = {April}, number = {15}, pages = {5821--5826}, posted-at = {2008-08-11 16:18:15}, priority = {2}, title = {Linking functionally related genes by sensitive and quantitative characterization of genetic interaction profiles}, url = {http://dx.doi.org/10.1073/pnas.0710533105}, volume = {105}, year = {2008} }

TY - JOUR ID - citeulike:2675285 L3 - citeulike-article-id:2675285 N2 - Describing at a genomic scale how mutations in different genes influence one another is essential to the understanding of how genotype correlates with phenotype and remains a major challenge in biology. Previous studies pointed out the need for accurate measurements of not only synthetic but also buffering interactions in the characterization of genetic networks and functional modules. We developed a sensitive and efficient method that allows such measurements at a genomic scale in yeast. In a pilot experiment (41 genome-wide screens), we quantified the fitness of 140,000 double deletion strains relative to the corresponding single mutants and identified many genetic interactions. In addition to synthetic growth defects (validated experimentally with factors newly identified as genetically interfering with mRNA degradation), most of the identified genetic interactions measured weak epistatic effects. These weak effects, rarely meaningful when considered individually, were crucial to defining specific signatures for many gene deletions and had a major contribution in defining clusters of functionally related genes. 10.1073/pnas.0710533105 IS - 15 JF - Proceedings of the National Academy of Sciences EP - 5826 TI - Linking functionally related genes by sensitive and quantitative characterization of genetic interaction profiles VL - 105 SP - 5821 KW - barcode KW - deletion KW - genomics KW - ht KW - interaction KW - technique AU - Decourty, Laurence AU - Saveanu, Cosmin AU - Zemam, Kenza AU - Hantraye, Florence AU - Frachon, Emmanuel AU - Rousselle, Jean-Claude AU - Fromont-Racine, Micheline AU - Jacquier, Alain PY - 2008/04/15/ UR - http://dx.doi.org/10.1073/pnas.0710533105 ER -