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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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    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
    Published by American Association for the Advancement of Science (AAAS)
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  • 4
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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
    Published by American Association for the Advancement of Science (AAAS)
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  • 5
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    Combining biological networks to predict genetic interactions (2004)
    National Academy of Sciences
    Details
    Publication Date: 2004-10-20
    Print ISSN: 0027-8424
    Electronic ISSN: 1091-6490
    Topics: Biology , Medicine , Natural Sciences in General
    Published by National Academy of Sciences
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  • 6
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    Mutations Enabling Displacement of Tryptophan by 4-Fluorotryptophan as a Canonical Amino Acid of the Genetic Code (2014)
    Oxford University Press
    Details
    Publication Date: 2014-03-28
    Description: The 20 canonical amino acids of the genetic code have been invariant over 3 billion years of biological evolution. Although various aminoacyl-tRNA synthetases can charge their cognate tRNAs with amino acid analogs, there has been no known displacement of any canonical amino acid from the code. Experimental departure from this universal protein alphabet comprising the canonical amino acids was first achieved in the mutants of the Bacillus subtilis QB928 strain, which after serial selection and mutagenesis led to the HR23 strain that could use 4-fluorotryptophan (4FTrp) but not canonical tryptophan (Trp) for propagation. To gain insight into this displacement of Trp from the genetic code by 4FTrp, genome sequencing was performed on LC33 (a precursor strain of HR23), HR23, and TR7 (a revertant of HR23 that regained the capacity to propagate on Trp). Compared with QB928, the negative regulator mtrB of Trp transport was found to be knocked out in LC33, HR23, and TR7, and sigma factor sigB was mutated in HR23 and TR7. Moreover, rpoBC encoding RNA polymerase subunits were mutated in three independent isolates of TR7 relative to HR23. Increased expression of sigB was also observed in HR23 and in TR7 growing under 4FTrp. These findings indicated that stabilization of the genetic code can be provided by just a small number of analog-sensitive proteins, forming an oligogenic barrier that safeguards the canonical amino acids throughout biological evolution.
    Electronic ISSN: 1759-6653
    Topics: Biology
    Published by Oxford University Press
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  • 7
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    Evaluation and Design of Genome-Wide CRISPR/SpCas9 Knockout Screens (2017)
    Genetics Society of America (GSA)
    Details
    Publication Date: 2017-08-08
    Description: The adaptation of CRISPR/SpCas9 technology to mammalian cell lines is transforming the study of human functional genomics. Pooled libraries of CRISPR guide RNAs (gRNAs) targeting human protein-coding genes and encoded in viral vectors have been used to systematically create gene knockouts in a variety of human cancer and immortalized cell lines, in an effort to identify whether these knockouts cause cellular fitness defects. Previous work has shown that CRISPR screens are more sensitive and specific than pooled-library shRNA screens in similar assays, but currently there exists significant variability across CRISPR library designs and experimental protocols. In this study, we reanalyze 17 genome-scale knockout screens in human cell lines from three research groups, using three different genome-scale gRNA libraries. Using the Bayesian Analysis of Gene Essentiality algorithm to identify essential genes, we refine and expand our previously defined set of human core essential genes from 360 to 684 genes. We use this expanded set of reference core essential genes, CEG2, plus empirical data from six CRISPR knockout screens to guide the design of a sequence-optimized gRNA library, the Toronto KnockOut version 3.0 (TKOv3) library. We then demonstrate the high effectiveness of the library relative to reference sets of essential and nonessential genes, as well as other screens using similar approaches. The optimized TKOv3 library, combined with the CEG2 reference set, provide an efficient, highly optimized platform for performing and assessing gene knockout screens in human cell lines.
    Electronic ISSN: 2160-1836
    Topics: Biology
    Published by Genetics Society of America (GSA)
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  • 8
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    Apparatus for the Measurement of Small Angles (1972)
    American Institute of Physics
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    Publication Date: 1972-02-01
    Print ISSN: 0034-6748
    Electronic ISSN: 1089-7623
    Topics: Electrical Engineering, Measurement and Control Technology , Physics
    Published by American Institute of Physics
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  • 9
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    Genome-wide, as opposed to local, antisilencing is mediated redundantly by the euchromatic factors Set1 and H2A.Z (2007)
    National Academy of Sciences
    Details
    Publication Date: 2007-10-09
    Print ISSN: 0027-8424
    Electronic ISSN: 1091-6490
    Topics: Biology , Medicine , Natural Sciences in General
    Published by National Academy of Sciences
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