Systems biology. Conditional density-based analysis of T cell signaling in single-cell data.

ABSTRACT: Cellular circuits sense the environment, process signals, and compute decisions using networks of interacting proteins. To model such a system, the abundance of each activated protein species can be described as a stochastic function of the abundance of other proteins. High-dimensional single-cell technologies, such as mass cytometry, offer an opportunity to characterize signaling circuit-wide. However, the challenge of developing and applying computational approaches to interpret such complex data remains. Here, we developed computational methods, based on established statistical concepts, to characterize signaling network relationships by quantifying the strengths of network edges and deriving signaling response functions. In comparing signaling between naïve and antigen-exposed CD4(+) T

SUBMITTER: Krishnaswamy S 

PROVIDER: S-EPMC4334155 | biostudies-literature | 2014 Nov

REPOSITORIES: biostudies-literature