TY - JOUR
T1 - Protein signaling networks from single cell fluctuations and information theory profiling
AU - Shin, Young Shik
AU - Remacle, F.
AU - Fan, Rong
AU - Hwang, Kiwook
AU - Wei, Wei
AU - Ahmad, Habib
AU - Levine, R. D.
AU - Heath, James R.
PY - 2011/5/18
Y1 - 2011/5/18
N2 - Protein signaling networks among cells play critical roles in a host of pathophysiological processes, from inflammation to tumorigenesis. We report on an approach that integrates microfluidic cell handling, in situ protein secretion profiling, and information theory to determine an extracellular protein-signaling network and the role of perturbations. We assayed 12 proteins secreted from human macrophages that were subjected to lipopolysaccharide challenge, which emulates the macrophage-based innate immune responses against Gram-negative bacteria. We characterize the fluctuations in protein secretion of single cells, and of small cell colonies (n = 2, 3,...), as a function of colony size. Measuring the fluctuations permits a validation of the conditions required for the application of a quantitative version of the Le Chatelier's principle, as derived using information theory. This principle provides a quantitative prediction of the role of perturbations and allows a characterization of a protein-protein interaction network.
AB - Protein signaling networks among cells play critical roles in a host of pathophysiological processes, from inflammation to tumorigenesis. We report on an approach that integrates microfluidic cell handling, in situ protein secretion profiling, and information theory to determine an extracellular protein-signaling network and the role of perturbations. We assayed 12 proteins secreted from human macrophages that were subjected to lipopolysaccharide challenge, which emulates the macrophage-based innate immune responses against Gram-negative bacteria. We characterize the fluctuations in protein secretion of single cells, and of small cell colonies (n = 2, 3,...), as a function of colony size. Measuring the fluctuations permits a validation of the conditions required for the application of a quantitative version of the Le Chatelier's principle, as derived using information theory. This principle provides a quantitative prediction of the role of perturbations and allows a characterization of a protein-protein interaction network.
UR - http://www.scopus.com/inward/record.url?scp=79959677297&partnerID=8YFLogxK
U2 - 10.1016/j.bpj.2011.04.025
DO - 10.1016/j.bpj.2011.04.025
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AN - SCOPUS:79959677297
SN - 0006-3495
VL - 100
SP - 2378
EP - 2386
JO - Biophysical Journal
JF - Biophysical Journal
IS - 10
ER -