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Garry P. Nolan
Researcher at Stanford University
Publications - 519
Citations - 54521
Garry P. Nolan is an academic researcher from Stanford University. The author has contributed to research in topics: Immune system & T cell. The author has an hindex of 104, co-authored 474 publications receiving 46025 citations. Previous affiliations of Garry P. Nolan include Massachusetts Institute of Technology & New York University.
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Production of high titer helper-free retroviruses by transient transfection
TL;DR: In this article, a method for producing high-titer, helper-free infectious retroviruses is disclosed which employs a novel strategy that uses transient transfection of new retroviral producer cell lines, ecotropic line BOSC 23 and amphotropic line CAK 8.
Journal ArticleDOI
Single-Cell Mass Cytometry of Differential Immune and Drug Responses Across a Human Hematopoietic Continuum
Sean C. Bendall,Erin F. Simonds,Peng Qiu,El-ad David Amir,Peter O. Krutzik,Rachel Finck,Robert V. Bruggner,Rachel D. Melamed,Angelica Trejo,Olga Ornatsky,Robert S. Balderas,Sylvia K. Plevritis,Karen Sachs,Dana Pe'er,Scott D. Tanner,Garry P. Nolan +15 more
TL;DR: Single-cell “mass cytometry” analyses provide system-wide views of immune signaling in healthy human hematopoiesis, against which drug action and disease can be compared for mechanistic studies and pharmacologic intervention.
Journal ArticleDOI
Causal Protein-Signaling Networks Derived from Multiparameter Single-Cell Data
Karen Sachs,Karen Sachs,Karen Sachs,Omar D. Perez,Omar D. Perez,Omar D. Perez,Dana Pe'er,Dana Pe'er,Dana Pe'er,Douglas A. Lauffenburger,Douglas A. Lauffenburger,Douglas A. Lauffenburger,Garry P. Nolan,Garry P. Nolan,Garry P. Nolan +14 more
TL;DR: Reconstruction of network models from physiologically relevant primary single cells might be applied to understanding native-state tissue signaling biology, complex drug actions, and dysfunctional signaling in diseased cells.
Journal ArticleDOI
Data-Driven Phenotypic Dissection of AML Reveals Progenitor-like Cells that Correlate with Prognosis.
Jacob H. Levine,Erin F. Simonds,Sean C. Bendall,Kara L. Davis,El-ad David Amir,Michelle D. Tadmor,Oren Litvin,Harris G. Fienberg,Astraea Jager,Eli R. Zunder,Rachel Finck,Amanda Larson Gedman,Ina Radtke,James R. Downing,Dana Pe'er,Garry P. Nolan +15 more
TL;DR: Using hematopoietic progenitors, a signaling-based measure of cellular phenotype was defined, which led to isolation of a gene expression signature that was predictive of survival in independent cohorts, yielding insights into AML pathophysiology.
Journal ArticleDOI
viSNE enables visualization of high dimensional single-cell data and reveals phenotypic heterogeneity of leukemia
El-ad David Amir,Kara L. Davis,Michelle D. Tadmor,Erin F. Simonds,Jacob H. Levine,Sean C. Bendall,Daniel K. Shenfeld,Smita Krishnaswamy,Garry P. Nolan,Dana Pe'er +9 more
TL;DR: In this article, the authors present viSNE, a tool that allows one to map high-dimensional cytometry data onto two dimensions, yet conserve the highdimensional structure of the data by using all pairwise distances in high dimension to determine each cell's location in the plot.