Stochastic Measurement Models for Quantifying Lymphocyte Responses Using Flow Cytometry.

ABSTRACT: Adaptive immune responses are complex dynamic processes whereby B and T cells undergo division and differentiation triggered by pathogenic stimuli. Deregulation of the response can lead to severe consequences for the host organism ranging from immune deficiencies to autoimmunity. Tracking cell division and differentiation by flow cytometry using fluorescent probes is a major method for measuring progression of lymphocyte responses, both in vitro and in vivo. In turn, mathematical modeling of cell numbers derived from such measurements has led to significant biological discoveries, and plays an increasingly important role in lymphocyte research. Fitting an appropriate parameterized model to such data is the goal of these studies but significant challenges are presented by the variability in

SUBMITTER: Kan A 

PROVIDER: S-EPMC4704825 | biostudies-literature | 2016

REPOSITORIES: biostudies-literature