G
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.
Papers
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Journal ArticleDOI
Isolation and characterization of the gene for the murine T cell differentiation antigen and immunoglobulin-related molecule, Lyt-2
TL;DR: The sequence of the 5310 base pair Hind III-cleaved genomic DNA segment that includes the gene for the Lyt-2, a murine differentiation antigen expressed on most immature T lymphocytes as well as the cytotoxic suppressing T cell subset is presented.
Patent
Device and method for processing cell samples
Todd Covey,Garry P. Nolan +1 more
TL;DR: A cell analysis device and method is described in this paper, which enables the user to efficiently treat cells in a sample by treating with reagents at a time and place proximate to collection and may be handled in a automated or semi automated fashion.
Posted ContentDOI
SARS-CoV-2 infects human adipose tissue and elicits an inflammatory response consistent with severe COVID-19
Giovanny J Martínez-Colón,Kalani Ratnasiri,Heping Chen,Sizun Jiang,Sizun Jiang,Elizabeth Zanley,Arjun Rustagi,Renu Verma,Han Chen,Jason R. Andrews,Kirsten D. Mertz,Alexandar Tzankov,Dan E. Azagury,Jack H. Boyd,Garry P. Nolan,Christian M. Schürch,Matthias S. Matter,Catherine A. Blish,Tracey McLaughlin +18 more
TL;DR: In this article, the authors demonstrate that human adipose tissue from multiple depots is permissive to SARS-CoV-2 infection and that infection elicits an inflammatory response, including the secretion of known inflammatory mediators of severe COVID-19.
Journal ArticleDOI
Single Cell Analysis and Selection of Living Retrovirus Vector-corrected Mucopolysaccharidosis VII Cells Using a Fluorescence-activated Cell Sorting-based Assay for Mammalian β-Glucuronidase Enzymatic Activity
Matthew C. Lorincz,Michael K. Parente,Mario Roederer,Garry P. Nolan,Zhenjun Diwu,David I. K. Martin,Leonard A. Herzenberg,John H. Wolfe +7 more
TL;DR: A fluorescence-activated cell sorter-based assay is described for the quantitative analysis of β-glucuronidase activity in viable cells for the efficacy of gene therapy for mucopolysaccharidosis VII and it is revealed that sorted cells have elevated levels ofβ-glUCuronid enzyme activity and secrete higher levels of cross-correcting enzyme than the population from which they were sorted.
Journal ArticleDOI
A Cancer Biologist's Primer on Machine Learning Applications in High-Dimensional Cytometry.
TL;DR: This work introduces the reader to several keystone machine learning-based analytic approaches with an emphasis on defining key terms and introducing a conceptual framework for making translational or clinically relevant discoveries in cancer biology.