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  • 1
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    A combined experimental and computational strategy to define protein interaction networks for peptide recognition modules (2001)
    American Association for the Advancement of Science (AAAS)
    Details
    Publication Date: 2001-12-18
    Description: Peptide recognition modules mediate many protein-protein interactions critical for the assembly of macromolecular complexes. Complete genome sequences have revealed thousands of these domains, requiring improved methods for identifying their physiologically relevant binding partners. We have developed a strategy combining computational prediction of interactions from phage-display ligand consensus sequences with large-scale two-hybrid physical interaction tests. Application to yeast SH3 domains generated a phage-display network containing 394 interactions among 206 proteins and a two-hybrid network containing 233 interactions among 145 proteins. Graph theoretic analysis identified 59 highly likely interactions common to both networks. Las17 (Bee1), a member of the Wiskott-Aldrich Syndrome protein (WASP) family of actin-assembly proteins, showed multiple SH3 interactions, many of which were confirmed in vivo by coimmunoprecipitation.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Tong, Amy Hin Yan -- Drees, Becky -- Nardelli, Giuliano -- Bader, Gary D -- Brannetti, Barbara -- Castagnoli, Luisa -- Evangelista, Marie -- Ferracuti, Silvia -- Nelson, Bryce -- Paoluzi, Serena -- Quondam, Michele -- Zucconi, Adriana -- Hogue, Christopher W V -- Fields, Stanley -- Boone, Charles -- Cesareni, Gianni -- P41 RR11823/RR/NCRR NIH HHS/ -- New York, N.Y. -- Science. 2002 Jan 11;295(5553):321-4. Epub 2001 Dec 13.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Banting and Best Department of Medical Research and Department of Molecular and Medical Genetics, University of Toronto, Toronto, Ontario, Canada M5G 1L6.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/11743162" target="_blank"〉PubMed〈/a〉
    Keywords: Algorithms ; Amino Acid Motifs ; Amino Acid Sequence ; Binding Sites ; *Computational Biology ; Consensus Sequence ; *Cytoskeletal Proteins ; Databases, Genetic ; Databases, Protein ; Fungal Proteins/chemistry/metabolism ; Ligands ; Molecular Sequence Data ; Peptide Library ; Peptides/chemistry/metabolism ; Protein Binding ; Protein Structure, Tertiary ; Proteins/*chemistry/*metabolism ; *Proteome ; Saccharomyces cerevisiae/chemistry/genetics ; Saccharomyces cerevisiae Proteins/*chemistry/genetics/*metabolism ; Software ; Two-Hybrid System Techniques ; Wiskott-Aldrich Syndrome Protein ; src Homology Domains
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
    Published by American Association for the Advancement of Science (AAAS)
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  • 2
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    Systematic genetic analysis with ordered arrays of yeast deletion mutants (2001)
    American Association for the Advancement of Science (AAAS)
    Details
    Publication Date: 2001-12-18
    Description: In Saccharomyces cerevisiae, more than 80% of the approximately 6200 predicted genes are nonessential, implying that the genome is buffered from the phenotypic consequences of genetic perturbation. To evaluate function, we developed a method for systematic construction of double mutants, termed synthetic genetic array (SGA) analysis, in which a query mutation is crossed to an array of approximately 4700 deletion mutants. Inviable double-mutant meiotic progeny identify functional relationships between genes. SGA analysis of genes with roles in cytoskeletal organization (BNI1, ARP2, ARC40, BIM1), DNA synthesis and repair (SGS1, RAD27), or uncharacterized functions (BBC1, NBP2) generated a network of 291 interactions among 204 genes. Systematic application of this approach should produce a global map of gene function.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Tong, A H -- Evangelista, M -- Parsons, A B -- Xu, H -- Bader, G D -- Page, N -- Robinson, M -- Raghibizadeh, S -- Hogue, C W -- Bussey, H -- Andrews, B -- Tyers, M -- Boone, C -- New York, N.Y. -- Science. 2001 Dec 14;294(5550):2364-8.〈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/11743205" target="_blank"〉PubMed〈/a〉
    Keywords: Carrier Proteins/genetics/physiology ; Cell Cycle Proteins/genetics/physiology ; Cell Polarity ; Computational Biology ; Crosses, Genetic ; *Cytoskeletal Proteins ; Cytoskeleton/physiology ; DNA Helicases/genetics/physiology ; DNA Repair ; DNA, Fungal/biosynthesis ; Databases, Genetic ; Endodeoxyribonucleases/genetics/physiology ; Flap Endonucleases ; Fungal Proteins/genetics/physiology ; *Gene Deletion ; Genes, Essential ; Genes, Fungal/*physiology ; Genetic Markers ; *Genetic Techniques ; Genome, Fungal ; *Microfilament Proteins ; Microtubule Proteins/genetics/physiology ; Mitosis ; RecQ Helicases ; Recombination, Genetic ; Robotics ; Saccharomyces cerevisiae/*genetics/growth & development/*physiology ; Saccharomyces cerevisiae Proteins/genetics/physiology
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
    Published by American Association for the Advancement of Science (AAAS)
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  • 3
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    Positive selection of tyrosine loss in metazoan evolution (2009)
    American Association for the Advancement of Science (AAAS)
    Details
    Publication Date: 2009-07-11
    Description: John Nash showed that within a complex system, individuals are best off if they make the best decision that they can, taking into account the decisions of the other individuals. Here, we investigate whether similar principles influence the evolution of signaling networks in multicellular animals. Specifically, by analyzing a set of metazoan species we observed a striking negative correlation of genomically encoded tyrosine content with biological complexity (as measured by the number of cell types in each organism). We discuss how this observed tyrosine loss correlates with the expansion of tyrosine kinases in the evolution of the metazoan lineage and how it may relate to the optimization of signaling systems in multicellular animals. We propose that this phenomenon illustrates genome-wide adaptive evolution to accommodate beneficial genetic perturbation.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3066034/" 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/PMC3066034/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Tan, Chris Soon Heng -- Pasculescu, Adrian -- Lim, Wendell A -- Pawson, Tony -- Bader, Gary D -- Linding, Rune -- R01 GM055040/GM/NIGMS NIH HHS/ -- R01 GM055040-11/GM/NIGMS NIH HHS/ -- New York, N.Y. -- Science. 2009 Sep 25;325(5948):1686-8. doi: 10.1126/science.1174301. Epub 2009 Jul 9.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Samuel Lunenfeld Research Institute, Mount Sinai Hospital, Toronto M5G 1X5, Canada.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/19589966" target="_blank"〉PubMed〈/a〉
    Keywords: Adaptation, Physiological ; Animals ; *Biological Evolution ; *Evolution, Molecular ; Fungal Proteins/chemistry/metabolism ; Glycosylation ; Humans ; Methylation ; Mutation ; Phosphorylation ; Phosphotyrosine/metabolism ; Protein Structure, Tertiary ; Protein-Tyrosine Kinases/*metabolism ; Proteins/*chemistry/*metabolism ; *Selection, Genetic ; *Signal Transduction ; Substrate Specificity ; Tyrosine/*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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  • 4
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    The genetic landscape of a cell (2010)
    American Association for the Advancement of Science (AAAS)
    Details
    Publication Date: 2010-01-23
    Description: A genome-scale genetic interaction map was constructed by examining 5.4 million gene-gene pairs for synthetic genetic interactions, generating quantitative genetic interaction profiles for approximately 75% of all genes in the budding yeast, Saccharomyces cerevisiae. A network based on genetic interaction profiles reveals a functional map of the cell in which genes of similar biological processes cluster together in coherent subsets, and highly correlated profiles delineate specific pathways to define gene function. The global network identifies functional cross-connections between all bioprocesses, mapping a cellular wiring diagram of pleiotropy. Genetic interaction degree correlated with a number of different gene attributes, which may be informative about genetic network hubs in other organisms. We also demonstrate that extensive and unbiased mapping of the genetic landscape provides a key for interpretation of chemical-genetic interactions and drug target identification.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Costanzo, Michael -- Baryshnikova, Anastasia -- Bellay, Jeremy -- Kim, Yungil -- Spear, Eric D -- Sevier, Carolyn S -- Ding, Huiming -- Koh, Judice L Y -- Toufighi, Kiana -- Mostafavi, Sara -- Prinz, Jeany -- St Onge, Robert P -- VanderSluis, Benjamin -- Makhnevych, Taras -- Vizeacoumar, Franco J -- Alizadeh, Solmaz -- Bahr, Sondra -- Brost, Renee L -- Chen, Yiqun -- Cokol, Murat -- Deshpande, Raamesh -- Li, Zhijian -- Lin, Zhen-Yuan -- Liang, Wendy -- Marback, Michaela -- Paw, Jadine -- San Luis, Bryan-Joseph -- Shuteriqi, Ermira -- Tong, Amy Hin Yan -- van Dyk, Nydia -- Wallace, Iain M -- Whitney, Joseph A -- Weirauch, Matthew T -- Zhong, Guoqing -- Zhu, Hongwei -- Houry, Walid A -- Brudno, Michael -- Ragibizadeh, Sasan -- Papp, Balazs -- Pal, Csaba -- Roth, Frederick P -- Giaever, Guri -- Nislow, Corey -- Troyanskaya, Olga G -- Bussey, Howard -- Bader, Gary D -- Gingras, Anne-Claude -- Morris, Quaid D -- Kim, Philip M -- Kaiser, Chris A -- Myers, Chad L -- Andrews, Brenda J -- Boone, Charles -- 084314/Wellcome Trust/United Kingdom -- GSP-41567/Canadian Institutes of Health Research/Canada -- R01 HG003224/HG/NHGRI NIH HHS/ -- New York, N.Y. -- Science. 2010 Jan 22;327(5964):425-31. doi: 10.1126/science.1180823.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Banting and Best Department of Medical Research, Terrence Donnelly Centre for Cellular and Biomolecular Research, 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/20093466" target="_blank"〉PubMed〈/a〉
    Keywords: Computational Biology ; Gene Duplication ; Gene Expression Regulation, Fungal ; *Gene Regulatory Networks ; Genes, Fungal ; Genetic Fitness ; *Genome, Fungal ; Metabolic Networks and Pathways ; Mutation ; Protein Interaction Mapping ; Saccharomyces cerevisiae/*genetics/*metabolism/physiology ; Saccharomyces cerevisiae Proteins/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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  • 5
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    Global mapping of the yeast genetic interaction network (2004)
    American Association for the Advancement of Science (AAAS)
    Details
    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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  • 6
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    Mapping the cellular response to small molecules using chemogenomic fitness signatures (2014)
    American Association for the Advancement of Science (AAAS)
    Details
    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
    Published by American Association for the Advancement of Science (AAAS)
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