An interactive reference framework for modeling a dynamic immune system

Author:

Spitzer Matthew H.123,Gherardini Pier Federico1,Fragiadakis Gabriela K.1,Bhattacharya Nupur2,Yuan Robert T.23,Hotson Andrew N.1,Finck Rachel1,Carmi Yaron2,Zunder Eli R.1,Fantl Wendy J.4,Bendall Sean C.23,Engleman Edgar G.23,Nolan Garry P.13

Affiliation:

1. Baxter Laboratory in Stem Cell Biology, Department of Microbiology and Immunology, Stanford University, Stanford, CA 94305, USA.

2. Department of Pathology, Stanford University, Stanford, CA 94305, USA.

3. Program in Immunology, Stanford University, Stanford, CA 94305, USA.

4. Department of Obstetrics and Gynecology, Division of Gynecologic Oncology, Stanford University, Stanford, CA 94305, USA.

Abstract

Single-cell measurements map immunity Multiple characteristics of individual cells define cell types and their physiological states. Spitzer et al. quantitated the abundance of 39 different cell surface proteins or transcription factors on individual cells of the mouse immune system. They used these measurements to create a map that clustered similar individual cells into groups corresponding to cell type and function. Their extensible experimental platform will allow the inclusion of other data types and data from independent laboratories. Science , this issue 10.1126/science.1259425

Funder

NIH

DOD

Howard Hughes Medical Institute

FDA

NIAID Bioinformatics Support

Bill and Melinda Gates Foundation

CIRM Basic Biology II

CIRM

Damon Runyon Cancer Research Foundation

European Commission

Rachford and Carlota A. Harris

Publisher

American Association for the Advancement of Science (AAAS)

Subject

Multidisciplinary

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