Stochastic gene expression during lineage specification of single T helper lymphocytes
Author(s)
Fang, Miaoqing
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Massachusetts Institute of Technology. Dept. of Biological Engineering.
Advisor
Alexander van Oudenaarden and Harvey Lodish.
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The adaptive immune system is an extraordinarily diverse inventory comprised of highly specialized cells, the differentiation of which requires numerous lineage specifications at various developmental stages. The precise control of immune cell differentiation and the delicate balance of their population composition are crucial for effective protection against infectious environmental agents, without triggering autoimmune responses or allergies. It is therefore important to understand at the molecular level in individual cells how lineage commitment is regulated. I explored the heterogeneous gene expression during the lineage specification of single T helper cells, by quantitatively measuring mRNA and protein levels. I have discovered a paradigm of cell lineage specification governed by the signaling interplay between extracellular cues and intracellular transcriptional factors, where the strength of extracellular signaling dominates over the intracellular signaling components. In the presence of extracellular cues, T helper cells stochastically acquire any intermediate Thl/Th2 states. The states of T helper cells can be gradually tuned by depriving availability of extracellular cytokines, which are produced stochastically by a small subpopulation of cells. When extracellular cues are removed, the weak intracellular signaling network reveals its effect, leading to classic mutual exclusion of antagonistic transcriptional factors.
Description
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Biological Engineering, 2012. Cataloged from PDF version of thesis. Includes bibliographical references (p. 118-125).
Date issued
2012Department
Massachusetts Institute of Technology. Department of Biological EngineeringPublisher
Massachusetts Institute of Technology
Keywords
Biological Engineering.