An interactive reference framework for modeling a dynamic immune system
Year: 2015
Type: article
Abstract: Immune cells function in an interacting hierarchy that coordinates the activities of various cell types according to genetic and environmental contexts. We developed graphical approaches to construct an extensible immune reference map from mass cytometry data of cells from different organs, incorporating landmark cell populations as flags on the map to compare cells from distinct samples. The maps recapitulated canonical cellular phenotypes and revealed reproducible, tissue-specific deviations. The approach revealed influences of genetic variation and circadian rhythms on immune system structure, enabled direct comparisons of murine and human blood cell phenotypes, and even enabled archival fluorescence-based flow cytometry data to be mapped onto the reference framework. This foundational reference map provides a working definition of systemic immune organization to which new data can be integrated to reveal deviations driven by genetics, environment, or pathology.
Source: Science
Institutions: Stanford Medicine, Stanford University
Language: English
Subfield: Molecular Biology
Domain: Life Sciences
Open Access status: green
Funders: U.S. Department of Defense, Howard Hughes Medical Institute, Bill and Melinda Gates Foundation, California Institute for Regenerative Medicine, Damon Runyon Cancer Research Foundation, European Commission, National Institutes of Health, U.S. Food and Drug Administration, U.S. Public Health Service, National Heart, Lung, and Blood Institute, National Eye Institute, National Cancer Institute, National Institute of General Medical Sciences, National Institute of Allergy and Infectious Diseases, National Institute of Diabetes and Digestive and Kidney Diseases, National Institute of Neurological Disorders and Stroke, National Center for Research Resources
Awards: G1088515271, G1230580399, G1376189913, Systems Approach to Immunity and Inflammation, G140496695, G1406188611, G1485758104, G1506102023, G1586318995, G1622074765, G1658833210, G1841907299, Radiotherapy as Immunotherapy of Tumors, G1993081671, G2321677735, G2449447893, G25181390, G2668213891, G2693775610, G2704802626, G291137109, G3028975029, G3064116375, G3161846315, G343651457, G3449621863, G3483664790, G3536648592, G3623423147, Mass Cytometry Analysis of Signaling Dysfunction in Duchenne Muscular Dystrophy, Kinase signaling analysis of iPS cell reprogramming and differentiation, G405181250, G4182246436, Cellular and Molecular Biology Training Program, G4394225119, G4517191324, Blood Stem Cell Transplantation as Immunotherapy, G4780663122, G4844634608, G4897830630, G4919389345, The Center for Systemic Control of Cyto-Networks, Multi-scale Complex Systems Transdisciplinary Analysis of Response to Therapy (MC, G5191223689, G5201313865, Software & Hardware Inference Engines for Automated Determination of Primary Cell, G5398508105, G5621033470, G5629193578, G5827526500, G584954878, G588581004, G6460654474, G6727669036, G6892885431, G7122446920, G7270298651, G73616645, G7465939496, G7628662047, G7785356824, G7892405935, G8026139164, G8343853698, G8411434399, G8940830863, G9000003098, G9000030838, G9000082928, G9000217981, Understanding Influenza and SARS-CoV-2 vaccine responses, in vivo and in vitro, Molecular Basis of Host Parasite Interaction, Therapeutic Opportunities To Target Tumor Initiating Cells in Solid Tumors
OpenAlex ID: W1495503443