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Courtney Toder
Researcher at Broad Institute
Publications - 4
Citations - 2658
Courtney Toder is an academic researcher from Broad Institute. The author has contributed to research in topics: Proteomics & Gene expression profiling. The author has an hindex of 4, co-authored 4 publications receiving 1302 citations.
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Journal ArticleDOI
A Next Generation Connectivity Map: L1000 Platform and the First 1,000,000 Profiles.
Aravind Subramanian,Rajiv Narayan,Steven M. Corsello,Steven M. Corsello,David Peck,Ted Natoli,Xiaodong Lu,Joshua Gould,John F. Davis,Andrew A. Tubelli,Jacob K. Asiedu,David L. Lahr,Jodi E. Hirschman,Zihan Liu,Melanie Donahue,Bina Julian,Mariya Khan,David Wadden,Ian Smith,Daniel D. Lam,Arthur Liberzon,Courtney Toder,Mukta Bagul,Marek Orzechowski,Oana M. Enache,Federica Piccioni,Sarah A. Johnson,Nicholas J. Lyons,Alice H. Berger,Alice H. Berger,Alykhan F. Shamji,Angela N. Brooks,Angela N. Brooks,Anita Vrcic,Corey Flynn,Jacqueline Rosains,David Y. Takeda,David Y. Takeda,Roger Hu,Desiree Davison,Justin Lamb,Kristin Ardlie,Larson Hogstrom,Peyton Greenside,Nathanael S. Gray,Nathanael S. Gray,Paul A. Clemons,Serena J. Silver,Xiaoyun Wu,Wen-Ning Zhao,Wen-Ning Zhao,Willis Read-Button,Xiaohua Wu,Stephen J. Haggarty,Stephen J. Haggarty,Lucienne Ronco,Jesse S. Boehm,Stuart L. Schreiber,Stuart L. Schreiber,Stuart L. Schreiber,John G. Doench,Joshua A. Bittker,David E. Root,Bang Wong,Todd R. Golub +64 more
TL;DR: The expanded CMap is reported, made possible by a new, low-cost, high-throughput reduced representation expression profiling method that is shown to be highly reproducible, comparable to RNA sequencing, and suitable for computational inference of the expression levels of 81% of non-measured transcripts.
Posted ContentDOI
A Next Generation Connectivity Map: L1000 Platform And The First 1,000,000 Profiles
Aravind Subramanian,Rajiv Narayan,Steven M. Corsello,David Peck,Ted Natoli,Xiaodong Lu,Joshua Gould,John F. Davis,Andrew A. Tubelli,Jacob K. Asiedu,David L. Lahr,Jodi E. Hirschman,Zihan Liu,Melanie Donahue,Bina Julian,Mariya Khan,David Wadden,Ian Smith,Daniel D. Lam,Arthur Liberzon,Courtney Toder,Mukta Bagul,Marek Orzechowski,Oana M. Enache,Federica Piccioni,Alice H. Berger,Alykhan F. Shamji,Angela N. Brooks,Anita Vrcic,Corey Flynn,Jacqueline Rosains,David Y. Takeda,Desiree Davison,Justin Lamb,Kristin Ardlie,Larson Hogstrom,Nathanael S. Gray,Paul A. Clemons,Serena J. Silver,Xiaoyun Wu,Wen-Ning Zhao,Willis Read-Button,Xiaohua Wu,Stephen J. Haggarty,Lucienne Ronco,Jesse S. Boehm,Stuart L. Schreiber,John G. Doench,Joshua A. Bittker,David E. Root,Bang Wong,Todd R. Golub +51 more
TL;DR: A new, low-cost, high throughput reduced representation expression profiling method, L1000, is shown to be highly reproducible, comparable to RNA sequencing, and suitable for computational inference of the expression levels of 81% of non-measured transcripts.
Journal ArticleDOI
A Library of Phosphoproteomic and Chromatin Signatures for Characterizing Cellular Responses to Drug Perturbations.
Lev Litichevskiy,Ryan Peckner,Jennifer G. Abelin,Jacob K. Asiedu,Amanda L. Creech,John F. Davis,Desiree Davison,Caitlin M. Dunning,Jarrett D. Egertson,Shawn Egri,Joshua Gould,Tak Ko,Sarah A. Johnson,David L. Lahr,Daniel D. Lam,Zihan Liu,Nicholas J. Lyons,Xiaodong Lu,Brendan MacLean,Alison E. Mungenast,Adam Officer,Ted Natoli,Malvina Papanastasiou,Jinal Patel,Vagisha Sharma,Courtney Toder,Andrew A. Tubelli,Jennie Z. Young,Steven A. Carr,Todd R. Golub,Aravind Subramanian,Michael J. MacCoss,Li-Huei Tsai,Jacob D. Jaffe +33 more
TL;DR: A systematic library resource of proteomic signatures that measure changes in the reduced-representation phosphoproteome (P100) and changes in epigenetic marks on histones (GCP) is presented and consistent connectivity among cell types revealed cellular responses that transcended lineage and unexpected associations between drugs.
Posted ContentDOI
A Library of Phosphoproteomic and Chromatin Signatures for Characterizing Cellular Responses to Drug Perturbations
Lev Litichevskiy,Ryan Peckner,Jennifer G. Abelin,Jacob K. Asiedu,Amanda L. Creech,John F. Davis,Desiree Davison,Caitlin M. Dunning,Jarrett D. Egertson,Shawn Egri,Joshua Gould,Tak Ko,Sarah A. Johnson,David L. Lahr,Daniel D. Lam,Zihan Liu,Nicholas J. Lyons,Xiaodong Lu,Brendan MacLean,Alison E. Mungenast,Adam Officer,Ted Natoli,Malvina Papanastasiou,Jinal Patel,Vagisha Sharma,Courtney Toder,Andrew A. Tubelli,Jennie Z. Young,Steven A. Carr,Todd R. Golub,Aravind Subramanian,Michael J. MacCoss,Li-Huei Tsai,Jacob D. Jaffe +33 more
TL;DR: First-of-its-kind public resource of proteomic responses to systematically administered perturbagens demonstrated, which could be leveraged against public domain external datasets to recognize therapeutic hypotheses that are consistent with ongoing clinical trials for the treatment of multiple myeloma and acute lymphocytic leukemia.