Editors' ChoiceImmunology

Deciphering Information Flow in T Cells

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Sci. Signal.  02 Dec 2014:
Vol. 7, Issue 354, pp. ec339
DOI: 10.1126/scisignal.aaa3743

We can now measure the activation state of multiple components of biochemical signaling pathways in single cells. This ability reveals how information flows through such cellular regulatory pathways and how it is altered in disease. Krishnaswamy et al. applied statistical techniques to overcome the complexity and variation (or noise) in such single cell measurements. They used these techniques to quantify information transfer between proteins that participate in antigen recognition in cells of the immune system. The methods should prove useful in the analysis of other signaling circuits to enhance basic understanding and reveal potential therapeutic targets to fight disease.

S. Krishnaswamy, M. H. Spitzer, M. Mingueneau, S. C. Bendall, O. Litvin, E. Stone, D. Pe’er, G. P. Nolan, Conditional density-based analysis of T cell signaling in single-cell data. Science 346, 1250689 (2014). [Abstract] [Full Text]