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Bryan Joseph San Luis
Researcher at University of Toronto
Publications - 9
Citations - 4205
Bryan Joseph San Luis is an academic researcher from University of Toronto. The author has contributed to research in topics: Gene & Genetic Fitness. The author has an hindex of 7, co-authored 8 publications receiving 3714 citations.
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Journal ArticleDOI
The genetic landscape of a cell.
Michael Costanzo,Anastasia Baryshnikova,Jeremy Bellay,Yungil Kim,Eric D. Spear,Carolyn S. Sevier,Huiming Ding,Judice L. Y. Koh,Kiana Toufighi,Sara Mostafavi,Jeany Prinz,Robert P. St.Onge,Benjamin VanderSluis,Taras Makhnevych,Franco J. Vizeacoumar,Solmaz Alizadeh,Sondra Bahr,Renee L. Brost,Yiqun Chen,Murat Cokol,Raamesh Deshpande,Zhijian Li,Zhen Yuan Lin,Wendy Liang,Michaela Marback,Jadine Paw,Bryan Joseph San Luis,Ermira Shuteriqi,Amy Hin Yan Tong,Nydia Van Dyk,Iain M. Wallace,Joseph Whitney,Matthew T. Weirauch,Guoqing Zhong,Hongwei Zhu,Walid A. Houry,Michael Brudno,Sasan Ragibizadeh,Balázs Papp,Csaba Pál,Frederick P. Roth,Guri Giaever,Corey Nislow,Olga G. Troyanskaya,Howard Bussey,Gary D. Bader,Anne-Claude Gingras,Quaid Morris,Philip M. Kim,Chris A. Kaiser,Chad L. Myers,Brenda J. Andrews,Charles Boone +52 more
TL;DR: 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.
Journal ArticleDOI
A global genetic interaction network maps a wiring diagram of cellular function
Michael Costanzo,Benjamin VanderSluis,Elizabeth N. Koch,Anastasia Baryshnikova,Carles Pons,Guihong Tan,Wen Wang,Matej Usaj,Julia Hanchard,Susan D. Lee,Vicent Pelechano,Erin B. Styles,Maximilian Billmann,Jolanda van Leeuwen,Nydia Van Dyk,Zhen Yuan Lin,Elena Kuzmin,Justin Nelson,Jeff S. Piotrowski,Tharan Srikumar,Sondra Bahr,Yiqun Chen,Raamesh Deshpande,Christoph F. Kurat,Sheena C. Li,Zhijian Li,Mojca Mattiazzi Usaj,Hiroki Okada,Natasha Pascoe,Bryan Joseph San Luis,Sara Sharifpoor,Emira Shuteriqi,Scott W. Simpkins,Jamie Snider,Harsha Garadi Suresh,Yizhao Tan,Hongwei Zhu,Noël Malod-Dognin,Vuk Janjić,Natasa Przulj,Natasa Przulj,Olga G. Troyanskaya,Igor Stagljar,Tian Xia,Tian Xia,Yoshikazu Ohya,Anne-Claude Gingras,Brian Raught,Michael Boutros,Lars M. Steinmetz,Lars M. Steinmetz,Claire Moore,Adam P. Rosebrock,Amy A. Caudy,Chad L. Myers,Brenda J. Andrews,Charles Boone +56 more
TL;DR: A global genetic interaction network highlights the functional organization of a cell and provides a resource for predicting gene and pathway function and how coherent sets of negative or positive genetic interactions connect protein complex and pathways to map a functional wiring diagram of the cell.
Journal ArticleDOI
Quantitative analysis of fitness and genetic interactions in yeast on a genome scale
Anastasia Baryshnikova,Michael Costanzo,Yungil Kim,Huiming Ding,Judice L. Y. Koh,Kiana Toufighi,Ji-Young Youn,Jiongwen Ou,Bryan Joseph San Luis,Sunayan Bandyopadhyay,Matthew A. Hibbs,David C. Hess,Anne-Claude Gingras,Gary D. Bader,Olga G. Troyanskaya,Grant W. Brown,Brenda J. Andrews,Charles Boone,Chad L. Myers +18 more
TL;DR: This work has applied the SGA score to examine the relationship between physical and genetic interaction networks, and found that positive genetic interactions connect across functionally distinct protein complexes revealing a network of genetic suppression among loss-of-function alleles.
Journal ArticleDOI
Systematic analysis of complex genetic interactions
Elena Kuzmin,Benjamin VanderSluis,Wen Wang,Guihong Tan,Raamesh Deshpande,Yiqun Chen,Matej Usaj,Attila Balint,Mojca Mattiazzi Usaj,Jolanda van Leeuwen,Elizabeth N. Koch,Carles Pons,Andrius J. Dagilis,Michael Pryszlak,Jason Zi Yang Wang,Julia Hanchard,Margot Riggi,Kaicong Xu,Hamed Heydari,Bryan Joseph San Luis,Ermira Shuteriqi,Hongwei Zhu,Nydia Van Dyk,Sara Sharifpoor,Michael Costanzo,Robbie Loewith,Amy A. Caudy,Daniel I. Bolnick,Grant W. Brown,Brenda J. Andrews,Charles Boone,Chad L. Myers +31 more
TL;DR: The extensive network of trigenic interactions and their ability to generate functionally diverse phenotypes suggest that higher-order genetic interactions may play a key role in the genotype-to-phenotype relationship, genome size, and speciation.
Journal ArticleDOI
Computationally Driven, Quantitative Experiments Discover Genes Required for Mitochondrial Biogenesis
David C. Hess,Chad L. Myers,Chad L. Myers,Curtis Huttenhower,Matthew A. Hibbs,Alicia P. Hayes,Jadine Paw,John J. Clore,Rosa M. Mendoza,Bryan Joseph San Luis,Corey Nislow,Guri Giaever,Michael Costanzo,Olga G. Troyanskaya,Amy A. Caudy +14 more
TL;DR: Using computational predictions combined with traditional quantitative experiments, 100 proteins whose deficiency alters mitochondrial biogenesis and inheritance in Saccharomyces cerevisiae are identified and characterized mutants with subtle mitochondrial defects whose phenotypes were undetected by high-throughput methods.