An interactive reference framework for modeling a dynamic immune system

Abstract

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.

Document Details

Document Type
Pub Defense Publication
Publication Date
Jul 10, 2015
Source ID
10.1126/science.1259425

Entities

People

  • Andrew N. Hotson
  • Edgar G. Engleman
  • Eli R. Zunder
  • Gabriela K Fragiadakis
  • Garry P. Nolan
  • Matthew H Spitzer
  • Nupur Bhattacharya
  • Pier Federico Gherardini
  • Rachel Finck
  • Robert T. Yuan
  • Sean C Bendall
  • Wendy J. Fantl
  • Yaron Carmi

Organizations

  • California Institute for Regenerative Medicine
  • Damon Runyon Cancer Research Foundation
  • European Commission
  • Food and Drug Administration
  • Gates Foundation
  • Howard Hughes Medical Institute
  • National Institute of Allergy and Infectious Diseases
  • National Institutes of Health
  • Stanford University
  • United States Department of Defense

Tags

Fields of Study

  • Biology

Readers

  • Database Systems and Applications
  • Immunology and Pathology
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.