4.8 Article

An interactive reference framework for modeling a dynamic immune system

Journal

SCIENCE
Volume 349, Issue 6244, Pages -

Publisher

AMER ASSOC ADVANCEMENT SCIENCE
DOI: 10.1126/science.1259425

Keywords

-

Funding

  1. Fluidigm Sciences
  2. George D. Smith Stanford graduate fellowship
  3. NIH [F31CA189331, T32GM007276, NRSA F32 GM093508-01, K99GM104148-01, 1U19AI100627, 1R01GM109836, 7500108142]
  4. Stanford Bio-X graduate fellowship
  5. CIRM Basic Biology II [RB2-01592]
  6. Damon Runyon Cancer Research Foundation [DRG-2017-09]
  7. NIAID [HHSN272201200028C, PN2EY018228 0158 G KB065, 1R01CA130826]
  8. DOD [OC110674, 11491122]
  9. Bill and Melinda Gates Foundation [OPP1113682]
  10. CIRM [RB2-01592, DR1-01477]
  11. FDA [HHSF223201210194C BAA-12-00118]
  12. European Commission [HEALTH.2010.1.2-1]
  13. Rachford and Carlota A. Harris endowed professorship
  14. The NIAID [5U54CA143907NIH, HHSN272200700038C, N01-HV-00242, 41000411217, 5-24927, P01 CA034233-22A1, RFA CA 09-009, RFA CA 09-011, U19 AI057229, U54CA149145, 5R01AI073724, R01CA184968, R33 CA183654, R33 CA183692, 1R01NS089533, 201303028]

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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.

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