M
Marc Hafner
Researcher at Genentech
Publications - 79
Citations - 2956
Marc Hafner is an academic researcher from Genentech. The author has contributed to research in topics: Cancer & Medicine. The author has an hindex of 22, co-authored 66 publications receiving 2109 citations. Previous affiliations of Marc Hafner include Swiss Institute of Bioinformatics & University of Zurich.
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Journal ArticleDOI
Growth rate inhibition metrics correct for confounders in measuring sensitivity to cancer drugs
TL;DR: GR metrics are shown to be superior to conventional metrics for assessing the effects of small molecule drugs in dividing cells and to improve the study of cell signaling and growth using small molecules and biologics and to facilitate the discovery of drug-response biomarkers and the identification of drugs effective against specific patient-derived tumor cells.
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The Library of Integrated Network-Based Cellular Signatures NIH Program: System-Level Cataloging of Human Cells Response to Perturbations
Alexandra B Keenan,Sherry L. Jenkins,Kathleen M. Jagodnik,Simon Koplev,Edward He,Denis Torre,Zichen Wang,Anders B. Dohlman,Moshe C. Silverstein,Alexander Lachmann,Maxim V. Kuleshov,Avi Ma'ayan,Vasileios Stathias,Raymond Terryn,Daniel J. Cooper,Michele Forlin,Amar Koleti,Dusica Vidovic,Caty Chung,Stephan C. Schürer,Jouzas Vasiliauskas,Marcin Pilarczyk,Behrouz Shamsaei,Mehdi Fazel,Yan Ren,Wen Niu,Nicholas A. Clark,Shana White,Naim Al Mahi,Lixia Zhang,Michal Kouril,John F. Reichard,Siva Sivaganesan,Mario Medvedovic,Jaroslaw Meller,Rick J. Koch,Marc R. Birtwistle,Ravi Iyengar,Eric A. Sobie,Evren U. Azeloglu,Julia A. Kaye,Jeannette Osterloh,Kelly Haston,Jaslin Kalra,Steve Finkbiener,Jonathan Z. Li,Pamela Milani,Miriam Adam,Renan Escalante-Chong,Karen Sachs,Alexander LeNail,Divya Ramamoorthy,Ernest Fraenkel,Gavin Daigle,Uzma Hussain,Alyssa Coye,Jeffrey D. Rothstein,Dhruv Sareen,Loren Ornelas,Maria G. Banuelos,Berhan Mandefro,Ritchie Ho,Clive N. Svendsen,Ryan G. Lim,Jennifer Stocksdale,Malcolm Casale,Terri G. Thompson,Jie Wu,Leslie M. Thompson,Victoria Dardov,Vidya Venkatraman,Andrea Matlock,Jennifer E. Van Eyk,Jacob D. Jaffe,Malvina Papanastasiou,Aravind Subramanian,Todd R. Golub,Sean D. Erickson,Mohammad Fallahi-Sichani,Marc Hafner,Nathanael S. Gray,Jia-Ren Lin,Caitlin E. Mills,Jeremy L. Muhlich,Mario Niepel,Caroline E. Shamu,Elizabeth H. Williams,David Wrobel,Peter K. Sorger,Laura M. Heiser,Joe W. Gray,James E. Korkola,Gordon B. Mills,Mark A. LaBarge,Mark A. LaBarge,Heidi S. Feiler,Mark A. Dane,Elmar Bucher,Michel Nederlof,Damir Sudar,Sean M. Gross,David Kilburn,Rebecca Smith,Kaylyn Devlin,Ron Margolis,Leslie Derr,Albert Lee,Ajay Pillai +107 more
TL;DR: The LINCS program focuses on cellular physiology shared among tissues and cell types relevant to an array of diseases, including cancer, heart disease, and neurodegenerative disorders.
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LINCS Canvas Browser: interactive web app to query, browse and interrogate LINCS L1000 gene expression signatures
Qiaonan Duan,Corey Flynn,Mario Niepel,Marc Hafner,Jeremy L. Muhlich,Nicolas F. Fernandez,Andrew D. Rouillard,Christopher M. Tan,Edward Y. Chen,Todd R. Golub,Peter K. Sorger,Aravind Subramanian,Avi Ma'ayan +12 more
TL;DR: LINCS Canvas Browser (LCB) is an interactive HTML5 web-based software application that facilitates querying, browsing and interrogating many of the currently available LINCS L1000 data.
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L1000CDS2: LINCS L1000 characteristic direction signatures search engine
Qiaonan Duan,St. Patrick Reid,Neil R. Clark,Zichen Wang,Nicolas F. Fernandez,Andrew D. Rouillard,Ben Readhead,Sarah R. Tritsch,Rachel A. Hodos,Marc Hafner,Mario Niepel,Peter K. Sorger,Joel T. Dudley,Sina Bavari,Rekha G. Panchal,Avi Ma'ayan +15 more
TL;DR: It is demonstrated that processing the L1000 data with the characteristic direction (CD) method significantly improves signal to noise compared with the MODZ method currently used to compute L1000 signatures.
Journal ArticleDOI
Fractional killing arises from cell-to-cell variability in overcoming a caspase activity threshold
Jérémie Roux,Marc Hafner,Samuel Bandara,Joshua J. Sims,Hannah Hudson,Diana Chai,Peter K. Sorger +6 more
TL;DR: A phenomenological model of the threshold is identified that can predict fractional killing of cells exposed to natural and synthetic agonists alone or in combination with sensitizing drugs such as bortezomib, providing new insight into the control of cell fate by opposing pro‐death and pro‐survival proteins.