At cell fate decision checkpoints, a precise series of events occurs to establish developmentally appropriate gene expression profiles. At the molecular level, lineage-determinant transcription factors are required for the simultaneous activation and repression of genes that define the fate of a cell. Currently, it is unclear how these factors mechanistically achieve this precise control on a global level. In the immune system, na?ve CD4+ T helper cells begin with the potential to become a number of phenotypically distinct lineages, with key transcription factors committing them to the defined fate that is appropriate for the pathogenic insult. The T-box transcription factor T-bet is responsible for the differentiation of the Th1 cell lineage. Previous work has shown that T-bet positively regulates the effector cytokines and chemokine receptors that are the prototypic genes in Th1 cellular differentiation. To activate the select target genes that have been studied to date, T-bet participates in at least three physically separable activities: 1) H3K27-demethylation, 2) H3K4-methylation, and 3) transactivation events that occur independent from the chromatin environment. It is currently unclear, however, whether these separable functional activities are required at all target promoters, or rather they are selectively utilized in a context-specific manner. In addition, the mechanism by which T-bet represses the gene expression profiles for the alternative helper T cell lineages and whether T-bet?s ability to negatively regulate these target genes requires the same or distinct activities is unknown. We will examine these questions on both a global and select target gene level. To this end, we will utilize mutant T-bet constructs that are deficient in each of the defined functional activities and assess their ability to regulate the global T-bet-dependent gene expression patterns in Th1 cell differentiation. We also will determine the key protein interactions that define T-bet?s distinct regulatory activities at both the level of physical and/or functional interactions. We will utilize this knowledge to model T-bet-dependent target gene networks that are based upon the mode of regulation as well as the phenotypic outcome. Together, these studies will allow us to define the mechanisms that are needed for the precise regulation of Th1 differentiation. Understanding the exact role that T-bet plays in immune cell differentiation is an important topic of research because the dysregulation of T-bet activity has been associated with a number of autoimmune and infectious disease states including ulcerative colitis, cancer metastasis, and murine models of multiple sclerosis. The studies proposed here will provide the base knowledge necessary for the targeted therapeutic manipulation of dysregulated T-bet activity.

Public Health Relevance

An exciting possibility in medical research is to selectively target therapeutic interventions to only the precise regulatory pathway that is pathogenically altered in human disease. That is, instead of manipulating function on a global scale, such as in the case of generalized immunosuppression, only those activities that are detrimental will be targeted by a medication. This will allow for the greatest therapeutic benefit with the least number of unintentional, detrimental side effects for a patient. In order to accomplish this goal in molecular medicine, we must precisely define the pathways that are regulated by key factors involved in maintaining a healthy state. Our studies will address this from the standpoint of a critical protein that regulates immune responses, which when altered, has been shown to be associated with disease states such as ulcerative colitis, multiple sclerosis, cancer metastasis, and increased susceptibility to infectious disease.

Agency
National Institute of Health (NIH)
Institute
National Institute of Allergy and Infectious Diseases (NIAID)
Type
High Priority, Short Term Project Award (R56)
Project #
2R56AI061061-06
Application #
7928617
Study Section
Cellular and Molecular Immunology - A Study Section (CMIA)
Program Officer
Mallia, Conrad M
Project Start
2004-06-01
Project End
2010-02-14
Budget Start
2009-09-22
Budget End
2010-02-14
Support Year
6
Fiscal Year
2009
Total Cost
$351,000
Indirect Cost
Name
University of Washington
Department
Microbiology/Immun/Virology
Type
Schools of Medicine
DUNS #
605799469
City
Seattle
State
WA
Country
United States
Zip Code
98195
Chisolm, Danielle A; Weinmann, Amy S (2018) Metabolites, genome organization, and cellular differentiation gene programs. Curr Opin Immunol 51:62-67
Chisolm, Danielle A; Savic, Daniel; Moore, Amanda J et al. (2017) CCCTC-Binding Factor Translates Interleukin 2- and ?-Ketoglutarate-Sensitive Metabolic Changes in T Cells into Context-Dependent Gene Programs. Immunity 47:251-267.e7
Hough, Kenneth P; Chisolm, Danielle A; Weinmann, Amy S (2015) Transcriptional regulation of T cell metabolism. Mol Immunol 68:520-6
Weinmann, Amy S (2014) Regulatory mechanisms that control T-follicular helper and T-helper 1 cell flexibility. Immunol Cell Biol 92:34-9
Oestreich, Kenneth J; Read, Kaitlin A; Gilbertson, Sarah E et al. (2014) Bcl-6 directly represses the gene program of the glycolysis pathway. Nat Immunol 15:957-64
Weinmann, Amy S (2014) Roles for helper T cell lineage-specifying transcription factors in cellular specialization. Adv Immunol 124:171-206
Buckingham, Kati J; McMillin, Margaret J; Brassil, Margaret M et al. (2013) Multiple mutant T alleles cause haploinsufficiency of Brachyury and short tails in Manx cats. Mamm Genome 24:400-8
Oestreich, Kenneth J; Weinmann, Amy S (2012) T-bet employs diverse regulatory mechanisms to repress transcription. Trends Immunol 33:78-83
Oestreich, Kenneth J; Mohn, Sarah E; Weinmann, Amy S (2012) Molecular mechanisms that control the expression and activity of Bcl-6 in TH1 cells to regulate flexibility with a TFH-like gene profile. Nat Immunol 13:405-11
Oestreich, Kenneth J; Weinmann, Amy S (2012) Master regulators or lineage-specifying? Changing views on CD4+ T cell transcription factors. Nat Rev Immunol 12:799-804

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