T
Todd R. Golub
Researcher at Harvard University
Publications - 454
Citations - 234100
Todd R. Golub is an academic researcher from Harvard University. The author has contributed to research in topics: Cancer & Gene expression profiling. The author has an hindex of 164, co-authored 422 publications receiving 201457 citations. Previous affiliations of Todd R. Golub include Rush University Medical Center & Boston Children's Hospital.
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Journal ArticleDOI
The Cancer Cell Line Encyclopedia enables predictive modelling of anticancer drug sensitivity
Jordi Barretina,Giordano Caponigro,Nicolas Stransky,Kavitha Venkatesan,Adam A. Margolin,Adam A. Margolin,Sungjoon Kim,Christine D. Wilson,Joseph Lehar,Gregory V. Kryukov,Dmitriy Sonkin,Anupama Reddy,Manway Liu,Lauren Murray,Michael F. Berger,Michael F. Berger,John Monahan,Paula Morais,Jodi Meltzer,Adam Korejwa,Judit Jané-Valbuena,Judit Jané-Valbuena,Felipa A. Mapa,Joseph Thibault,Eva Bric-Furlong,Pichai Raman,Aaron Shipway,Ingo H. Engels,Jill Cheng,Guoying K. Yu,Jianjun Yu,Peter Aspesi,Melanie de Silva,Kalpana Jagtap,Michael D. Jones,Li Wang,Charlie Hatton,Emanuele Palescandolo,Supriya Gupta,Scott Mahan,Carrie Sougnez,Robert C. Onofrio,Ted Liefeld,Laura E. MacConaill,Wendy Winckler,Michael R. Reich,Nanxin Li,Jill P. Mesirov,Stacey Gabriel,Gad Getz,Kristin G. Ardlie,Vivien W. Chan,Vic E. Myer,Barbara L. Weber,Jeffrey A. Porter,Markus Warmuth,Peter Finan,Jennifer L. Harris,Matthew Meyerson,Matthew Meyerson,Todd R. Golub,Michael Morrissey,William R. Sellers,Robert Schlegel,Levi A. Garraway,Levi A. Garraway +65 more
TL;DR: The results indicate that large, annotated cell-line collections may help to enable preclinical stratification schemata for anticancer agents and the generation of genetic predictions of drug response in the preclinical setting and their incorporation into cancer clinical trial design could speed the emergence of ‘personalized’ therapeutic regimens.
Journal ArticleDOI
Integrated Genomic Analysis Identifies Clinically Relevant Subtypes of Glioblastoma Characterized by Abnormalities in PDGFRA, IDH1, EGFR, and NF1
Roel G.W. Verhaak,Katherine A. Hoadley,Elizabeth Purdom,Victoria Wang,Yuan-yuan Qi,Matthew D. Wilkerson,C. Ryan Miller,Li Ding,Todd R. Golub,Jill P. Mesirov,Gabriele Alexe,Michael S. Lawrence,Michael O'Kelly,Pablo Tamayo,Barbara A. Weir,Stacey Gabriel,Wendy Winckler,Supriya Gupta,Lakshmi Jakkula,Heidi S. Feiler,J. Graeme Hodgson,C. David James,Jann N. Sarkaria,Cameron Brennan,Ari B. Kahn,Paul T. Spellman,Richard K. Wilson,Terence P. Speed,Terence P. Speed,Joe W. Gray,Matthew Meyerson,Gad Getz,Charles M. Perou,Charles M. Perou,D. Neil Hayes +34 more
TL;DR: A robust gene expression-based molecular classification of GBM into Proneural, Neural, Classical, and Mesenchymal subtypes is described and multidimensional genomic data is integrated to establish patterns of somatic mutations and DNA copy number.
Integrated Genomic Analysis Identifies Clinically Relevant Subtypes of Glioblastoma Characterized by Abnormalities in PDGFRA, IDH1, EGFR, and NF1
Roel G.W. Verhaak,Katherine A. Hoadley,Elizabeth Purdom,Victoria Wang,Yuan-yuan Qi,Matthew D. Wilkerson,C. Ryan Miller,Li Ding,Todd R. Golub,Jill P. Mesirov,Gabriele Alexe,Michael S. Lawrence,Michael O'Kelly,Pablo Tamayo,Barbara A. Weir,Stacey Gabriel,Wendy Winckler,Supriya Gupta,Lakshmi Jakkula,Heidi S. Feiler,J. Graeme Hodgson,C. David James,Jann N. Sarkaria,Cameron Brennan,Ari B. Kahn,Paul T. Spellman,Richard K. Wilson,Terence P. Speed,Terence P. Speed,Joe W. Gray,Matthew Meyerson,Gad Getz,Charles M. Perou,Charles M. Perou,D. Neil Hayes +34 more
TL;DR: The Cancer Genome Atlas Network recently cataloged recurrent genomic abnormalities in glioblastoma multiforme (GBM) and proposed a robust gene expression-based molecular classification of GBM into Proneural, Neural, Classical, and Mesenchymal subtypes as discussed by the authors.
Journal ArticleDOI
The Connectivity Map: Using Gene-Expression Signatures to Connect Small Molecules, Genes, and Disease
Justin Lamb,Emily D. Crawford,David Peck,Joshua W. Modell,Irene C. Blat,Matthew J. Wrobel,Jim Lerner,Jean Philippe Brunet,Aravind Subramanian,Kenneth N. Ross,Michael Reich,Haley Hieronymus,Haley Hieronymus,Guo Wei,Guo Wei,Scott A. Armstrong,Scott A. Armstrong,Stephen J. Haggarty,Stephen J. Haggarty,Paul A. Clemons,Ru Wei,Steven A. Carr,Eric S. Lander,Eric S. Lander,Todd R. Golub +24 more
TL;DR: The first installment of a reference collection of gene-expression profiles from cultured human cells treated with bioactive small molecules is created, and it is demonstrated that this “Connectivity Map” resource can be used to find connections among small molecules sharing a mechanism of action, chemicals and physiological processes, and diseases and drugs.
Journal ArticleDOI
Mutational heterogeneity in cancer and the search for new cancer-associated genes
Michael S. Lawrence,Petar Stojanov,Petar Stojanov,Paz Polak,Paz Polak,Paz Polak,Gregory V. Kryukov,Gregory V. Kryukov,Gregory V. Kryukov,Kristian Cibulskis,Andrey Sivachenko,Scott L. Carter,Chip Stewart,Craig H. Mermel,Craig H. Mermel,Steven A. Roberts,Adam Kiezun,Peter S. Hammerman,Peter S. Hammerman,Aaron McKenna,Aaron McKenna,Yotam Drier,Lihua Zou,Alex H. Ramos,Trevor J. Pugh,Trevor J. Pugh,Nicolas Stransky,Elena Helman,Elena Helman,Jaegil Kim,Carrie Sougnez,Lauren Ambrogio,Elizabeth Nickerson,Erica Shefler,Maria L. Cortes,Daniel Auclair,Gordon Saksena,Douglas Voet,Michael S. Noble,Daniel DiCara,Pei Lin,Lee Lichtenstein,David I. Heiman,Timothy Fennell,Marcin Imielinski,Marcin Imielinski,Bryan Hernandez,Eran Hodis,Eran Hodis,Sylvan C. Baca,Sylvan C. Baca,Austin M. Dulak,Austin M. Dulak,Jens G. Lohr,Jens G. Lohr,Dan A. Landau,Dan A. Landau,Dan A. Landau,Catherine J. Wu,Jorge Melendez-Zajgla,Alfredo Hidalgo-Miranda,Amnon Koren,Amnon Koren,Steven A. McCarroll,Steven A. McCarroll,Jaume Mora,Ryan S. Lee,Ryan S. Lee,Brian D. Crompton,Brian D. Crompton,Robert C. Onofrio,Melissa Parkin,Wendy Winckler,Kristin G. Ardlie,Stacey Gabriel,Charles W. M. Roberts,Charles W. M. Roberts,Jaclyn A. Biegel,Kimberly Stegmaier,Kimberly Stegmaier,Kimberly Stegmaier,Adam J. Bass,Adam J. Bass,Levi A. Garraway,Levi A. Garraway,Matthew Meyerson,Matthew Meyerson,Todd R. Golub,Dmitry A. Gordenin,Shamil R. Sunyaev,Shamil R. Sunyaev,Shamil R. Sunyaev,Eric S. Lander,Eric S. Lander,Eric S. Lander,Gad Getz,Gad Getz +96 more
TL;DR: A fundamental problem with cancer genome studies is described: as the sample size increases, the list of putatively significant genes produced by current analytical methods burgeons into the hundreds and the list includes many implausible genes, suggesting extensive false-positive findings that overshadow true driver events.