T
Tyler Risom
Researcher at Stanford University
Publications - 30
Citations - 1505
Tyler Risom is an academic researcher from Stanford University. The author has contributed to research in topics: Breast cancer & Cancer. The author has an hindex of 15, co-authored 25 publications receiving 1023 citations. Previous affiliations of Tyler Risom include Genentech & University of Colorado Boulder.
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Journal ArticleDOI
Targeting Activated Akt with GDC-0068, a Novel Selective Akt Inhibitor That Is Efficacious in Multiple Tumor Models
Jie Lin,Deepak Sampath,Michelle Nannini,Brian Lee,Michael Degtyarev,Jason Oeh,Heidi Savage,Zhengyu Guan,Rebecca Hong,Robert Kassees,Leslie Lee,Tyler Risom,Stefan D. Gross,Bianca M. Liederer,Hartmut Koeppen,Nicholas J. Skelton,Jeffrey Wallin,Marcia Belvin,Elizabeth Punnoose,Lori Friedman,Kui Lin +20 more
TL;DR: GDC-0068 is a highly selective, orally bioavailable Akt kinase inhibitor that shows pharmacodynamic inhibition of Akt signaling and robust antitumor activity in human cancer cells in vitro and in vivo.
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Evolutionary conservation of microRNA regulatory circuits: an examination of microRNA gene complexity and conserved microRNA-target interactions through metazoan phylogeny.
TL;DR: A global insight is proposed on the probable consistency between morphological evolution in animals and the molecular evolution of miRNA gene activity in the cell using the trends in miRNA conservation to deduce miRNA evolutionary trends in metazoans.
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MIBI-TOF: A multiplexed imaging platform relates cellular phenotypes and tissue structure
Leeat Keren,Marc Bosse,Steve Thompson,Tyler Risom,Kausalia Vijayaragavan,Erin McCaffrey,Diana M. Marquez,Roshan Angoshtari,Noah F. Greenwald,Harris G. Fienberg,Jennifer Y. Wang,Neeraja Kambham,David Kirkwood,Garry P. Nolan,Thomas J. Montine,Stephen J. Galli,Robert B. West,Sean C. Bendall,Michael Angelo +18 more
TL;DR: MIBI-TOF (multiplexed ion beam imaging by time of flight) is described, an instrument that uses bright ion sources and orthogonal time-of-flight mass spectrometry to image metal-tagged antibodies at subcellular resolution in clinical tissue sections to interrogate intrapatient heterogeneity in tumor organization in triple-negative breast cancer.
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Whole-cell segmentation of tissue images with human-level performance using large-scale data annotation and deep learning.
Noah F. Greenwald,Geneva Miller,Erick Moen,Alex Kong,Adam Kagel,Thomas Dougherty,Christine Camacho Fullaway,Brianna J. McIntosh,Ke Xuan Leow,Morgan Schwartz,Cole Pavelchek,Cole Pavelchek,Sunny Cui,Sunny Cui,Isabella Camplisson,Omer Bar-Tal,Jaiveer Singh,Mara Fong,Mara Fong,Gautam Chaudhry,Zion Abraham,Jackson Moseley,Shiri Warshawsky,Erin Soon,Shirley Greenbaum,Tyler Risom,Travis J. Hollmann,Sean C. Bendall,Leeat Keren,William Graf,Michael Angelo,David Van Valen +31 more
TL;DR: TissueNet as mentioned in this paper is a dataset for training segmentation models that contains more than 1 million manually labeled cells, an order of magnitude more than all previously published segmentation training datasets.
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Differentiation-state plasticity is a targetable resistance mechanism in basal-like breast cancer.
Tyler Risom,Ellen M. Langer,Margaret P. Chapman,Juha Rantala,Andrew J. Fields,Christopher Boniface,Mariano J. Alvarez,Nicholas D. Kendsersky,Carl Pelz,Katherine Johnson-Camacho,Lacey E. Dobrolecki,Koei Chin,Anil Aswani,Nicholas J. Wang,Andrea Califano,Michael T. Lewis,Claire J. Tomlin,Paul T. Spellman,Andrew Adey,Joe W. Gray,Rosalie C. Sears +20 more
TL;DR: It is shown that drug tolerant persistent cell populations emerge during treatment, and these emergent populations arise through epigenetically mediated cell state transitions rather than sub population selection.