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  • 1
    Publication Date: 2004-02-07
    Description: A genetic interaction network containing approximately 1000 genes and approximately 4000 interactions was mapped by crossing mutations in 132 different query genes into a set of approximately 4700 viable gene yeast deletion mutants and scoring the double mutant progeny for fitness defects. Network connectivity was predictive of function because interactions often occurred among functionally related genes, and similar patterns of interactions tended to identify components of the same pathway. The genetic network exhibited dense local neighborhoods; therefore, the position of a gene on a partially mapped network is predictive of other genetic interactions. Because digenic interactions are common in yeast, similar networks may underlie the complex genetics associated with inherited phenotypes in other organisms.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Tong, Amy Hin Yan -- Lesage, Guillaume -- Bader, Gary D -- Ding, Huiming -- Xu, Hong -- Xin, Xiaofeng -- Young, James -- Berriz, Gabriel F -- Brost, Renee L -- Chang, Michael -- Chen, YiQun -- Cheng, Xin -- Chua, Gordon -- Friesen, Helena -- Goldberg, Debra S -- Haynes, Jennifer -- Humphries, Christine -- He, Grace -- Hussein, Shamiza -- Ke, Lizhu -- Krogan, Nevan -- Li, Zhijian -- Levinson, Joshua N -- Lu, Hong -- Menard, Patrice -- Munyana, Christella -- Parsons, Ainslie B -- Ryan, Owen -- Tonikian, Raffi -- Roberts, Tania -- Sdicu, Anne-Marie -- Shapiro, Jesse -- Sheikh, Bilal -- Suter, Bernhard -- Wong, Sharyl L -- Zhang, Lan V -- Zhu, Hongwei -- Burd, Christopher G -- Munro, Sean -- Sander, Chris -- Rine, Jasper -- Greenblatt, Jack -- Peter, Matthias -- Bretscher, Anthony -- Bell, Graham -- Roth, Frederick P -- Brown, Grant W -- Andrews, Brenda -- Bussey, Howard -- Boone, Charles -- GM39066/GM/NIGMS NIH HHS/ -- GM61221/GM/NIGMS NIH HHS/ -- New York, N.Y. -- Science. 2004 Feb 6;303(5659):808-13.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Banting and Best Department of Medical Research, University of Toronto, Toronto, ON, Canada M5G 1L6.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/14764870" target="_blank"〉PubMed〈/a〉
    Keywords: Amino Acid Sequence ; Computational Biology ; Cystic Fibrosis/genetics ; Gene Deletion ; Genes, Essential ; *Genes, Fungal ; Genetic Diseases, Inborn/genetics ; Genotype ; Humans ; Molecular Sequence Data ; Multifactorial Inheritance ; Mutation ; Phenotype ; Polymorphism, Genetic ; Retinitis Pigmentosa/genetics ; Saccharomyces cerevisiae/*genetics/*metabolism ; Saccharomyces cerevisiae Proteins/chemistry/genetics/*metabolism
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
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  • 2
    Publication Date: 2014-04-12
    Description: Genome-wide characterization of the in vivo cellular response to perturbation is fundamental to understanding how cells survive stress. Identifying the proteins and pathways perturbed by small molecules affects biology and medicine by revealing the mechanisms of drug action. We used a yeast chemogenomics platform that quantifies the requirement for each gene for resistance to a compound in vivo to profile 3250 small molecules in a systematic and unbiased manner. We identified 317 compounds that specifically perturb the function of 121 genes and characterized the mechanism of specific compounds. Global analysis revealed that the cellular response to small molecules is limited and described by a network of 45 major chemogenomic signatures. Our results provide a resource for the discovery of functional interactions among genes, chemicals, and biological processes.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4254748/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4254748/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Lee, Anna Y -- St Onge, Robert P -- Proctor, Michael J -- Wallace, Iain M -- Nile, Aaron H -- Spagnuolo, Paul A -- Jitkova, Yulia -- Gronda, Marcela -- Wu, Yan -- Kim, Moshe K -- Cheung-Ong, Kahlin -- Torres, Nikko P -- Spear, Eric D -- Han, Mitchell K L -- Schlecht, Ulrich -- Suresh, Sundari -- Duby, Geoffrey -- Heisler, Lawrence E -- Surendra, Anuradha -- Fung, Eula -- Urbanus, Malene L -- Gebbia, Marinella -- Lissina, Elena -- Miranda, Molly -- Chiang, Jennifer H -- Aparicio, Ana Maria -- Zeghouf, Mahel -- Davis, Ronald W -- Cherfils, Jacqueline -- Boutry, Marc -- Kaiser, Chris A -- Cummins, Carolyn L -- Trimble, William S -- Brown, Grant W -- Schimmer, Aaron D -- Bankaitis, Vytas A -- Nislow, Corey -- Bader, Gary D -- Giaever, Guri -- GM103504/GM/NIGMS NIH HHS/ -- GM44530/GM/NIGMS NIH HHS/ -- MOP-700724/Canadian Institutes of Health Research/Canada -- MOP-79368/Canadian Institutes of Health Research/Canada -- MOP-81340/Canadian Institutes of Health Research/Canada -- P01 HG000205/HG/NHGRI NIH HHS/ -- P41 GM103504/GM/NIGMS NIH HHS/ -- R01 003317-07/PHS HHS/ -- R01 CA157456/CA/NCI NIH HHS/ -- R01 GM044530/GM/NIGMS NIH HHS/ -- R01 HG003317/HG/NHGRI NIH HHS/ -- New York, N.Y. -- Science. 2014 Apr 11;344(6180):208-11. doi: 10.1126/science.1250217.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉The Donnelly Centre, University of Toronto, Toronto, Ontario M5S 3E1, Canada.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/24723613" target="_blank"〉PubMed〈/a〉
    Keywords: Cell Line, Tumor ; Cells/*drug effects ; Drug Evaluation, Preclinical/*methods ; Drug Resistance/*genetics ; *Gene Regulatory Networks ; Genome-Wide Association Study/*methods ; Haploinsufficiency ; Humans ; Pharmacogenetics ; Saccharomyces cerevisiae/drug effects/genetics ; Small Molecule Libraries/*pharmacology
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
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  • 3
    Publication Date: 2008-10-25
    Description: Recent findings suggest important roles for nuclear organization in gene expression. In contrast, little is known about how nuclear organization contributes to genome stability. Epistasis analysis (E-MAP) using DNA repair factors in yeast indicated a functional relationship between a nuclear pore subcomplex and Slx5/Slx8, a small ubiquitin-like modifier (SUMO)-dependent ubiquitin ligase, which we show physically interact. Real-time imaging and chromatin immunoprecipitation confirmed stable recruitment of damaged DNA to nuclear pores. Relocation required the Nup84 complex and Mec1/Tel1 kinases. Spontaneous gene conversion can be enhanced in a Slx8- and Nup84-dependent manner by tethering donor sites at the nuclear periphery. This suggests that strand breaks are shunted to nuclear pores for a repair pathway controlled by a conserved SUMO-dependent E3 ligase.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3518492/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3518492/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Nagai, Shigeki -- Dubrana, Karine -- Tsai-Pflugfelder, Monika -- Davidson, Marta B -- Roberts, Tania M -- Brown, Grant W -- Varela, Elisa -- Hediger, Florence -- Gasser, Susan M -- Krogan, Nevan J -- R01 GM084448/GM/NIGMS NIH HHS/ -- New York, N.Y. -- Science. 2008 Oct 24;322(5901):597-602. doi: 10.1126/science.1162790.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Friedrich Miescher Institute for Biomedical Research, Maulbeerstrasse 66, 4058 Basel, Switzerland.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/18948542" target="_blank"〉PubMed〈/a〉
    Keywords: Chromatin Immunoprecipitation ; *DNA Breaks, Double-Stranded ; DNA Repair ; DNA, Fungal/genetics/*metabolism ; DNA-Binding Proteins/genetics/*metabolism ; Deoxyribonucleases, Type II Site-Specific/metabolism ; Gene Conversion ; Genes, Fungal ; Immunoprecipitation ; Intracellular Signaling Peptides and Proteins/metabolism ; Kinetics ; Nuclear Pore/*metabolism ; Nuclear Pore Complex Proteins/genetics/metabolism ; Protein-Serine-Threonine Kinases/metabolism ; Recombination, Genetic ; Saccharomyces cerevisiae/genetics/*metabolism ; Saccharomyces cerevisiae Proteins/genetics/*metabolism ; Small Ubiquitin-Related Modifier Proteins/metabolism ; Ubiquitin-Protein Ligases/*metabolism ; Zinc Fingers
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
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  • 4
    Publication Date: 1980-04-18
    Description: The levels of gluatmine synthetase specific activity in hepatic and renal tissue are higher in fish that are ureosmoregulators than in those that are not. Enzyme activities in the liver and kidney of 18 species of fish correlated directly with the ureosmoregulatory adaptation of each species.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Webb, J T -- Brown, G W Jr -- New York, N.Y. -- Science. 1980 Apr 18;208(4441):293-5.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/6102799" target="_blank"〉PubMed〈/a〉
    Keywords: Ammonia/metabolism ; Animals ; Brain/enzymology ; Fishes/*metabolism ; Glutamate-Ammonia Ligase/*metabolism ; Kidney/enzymology ; Liver/enzymology ; Species Specificity ; Urea/*metabolism ; Water-Electrolyte Balance
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
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  • 5
    Publication Date: 2018-04-20
    Description: To systematically explore complex genetic interactions, we constructed ~200,000 yeast triple mutants and scored negative trigenic interactions. We selected double-mutant query genes across a broad spectrum of biological processes, spanning a range of quantitative features of the global digenic interaction network and tested for a genetic interaction with a third mutation. Trigenic interactions often occurred among functionally related genes, and essential genes were hubs on the trigenic network. Despite their functional enrichment, trigenic interactions tended to link genes in distant bioprocesses and displayed a weaker magnitude than digenic interactions. We estimate that the global trigenic interaction network is ~100 times as large as the global digenic network, highlighting the potential for complex genetic interactions to affect the biology of inheritance, including the genotype-to-phenotype relationship.
    Keywords: Genetics, Online Only
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Geosciences , Computer Science , Medicine , Natural Sciences in General , Physics
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