scholarly journals Redundant Regulation of T Cell Differentiation and TCRα Gene Expression by the Transcription Factors LEF-1 and TCF-1

Immunity ◽  
1998 ◽  
Vol 8 (1) ◽  
pp. 11-20 ◽  
Author(s):  
Ross M Okamura ◽  
Mikael Sigvardsson ◽  
Juan Galceran ◽  
Sjef Verbeek ◽  
Hans Clevers ◽  
...  
2017 ◽  
Vol 1 (suppl_1) ◽  
pp. 459-460
Author(s):  
S. Yeh ◽  
K. Yang ◽  
L. Lin ◽  
M. Lee ◽  
C. Hsieh ◽  
...  

2018 ◽  
Vol 201 (6) ◽  
pp. 1681-1691 ◽  
Author(s):  
Diane Maurice ◽  
Patrick Costello ◽  
Mathew Sargent ◽  
Richard Treisman

2016 ◽  
Vol 7 ◽  
Author(s):  
Lorenza Rattazzi ◽  
Giuseppa Piras ◽  
Samuel Brod ◽  
Koval Smith ◽  
Masahiro Ono ◽  
...  

2019 ◽  
Vol 36 (2) ◽  
pp. 546-551 ◽  
Author(s):  
Kyungsoo Kim ◽  
Sunmo Yang ◽  
Sang-Jun Ha ◽  
Insuk Lee

Abstract Motivation The immune system has diverse types of cells that are differentiated or activated via various signaling pathways and transcriptional regulation upon challenging conditions. Immunophenotyping by flow and mass cytometry are the major approaches for identifying key signaling molecules and transcription factors directing the transition between the functional states of immune cells. However, few proteins can be evaluated by flow cytometry in a single experiment, preventing researchers from obtaining a comprehensive picture of the molecular programs involved in immune cell differentiation. Recent advances in single-cell RNA sequencing (scRNA-seq) have enabled unbiased genome-wide quantification of gene expression in individual cells on a large scale, providing a new and versatile analytical pipeline for studying immune cell differentiation. Results We present VirtualCytometry, a web-based computational pipeline for evaluating immune cell differentiation by exploiting cell-to-cell variation in gene expression with scRNA-seq data. Differentiating cells often show a continuous spectrum of cellular states rather than distinct populations. VirtualCytometry enables the identification of cellular subsets for different functional states of differentiation based on the expression of marker genes. Case studies have highlighted the usefulness of this subset analysis strategy for discovering signaling molecules and transcription factors for human T-cell exhaustion, a state of T-cell dysfunction, in tumor and mouse dendritic cells activated by pathogens. With more than 226 scRNA-seq datasets precompiled from public repositories covering diverse mouse and human immune cell types in normal and disease tissues, VirtualCytometry is a useful resource for the molecular dissection of immune cell differentiation. Availability and implementation www.grnpedia.org/cytometry


Blood ◽  
2013 ◽  
Vol 122 (21) ◽  
pp. 189-189
Author(s):  
R. Anthony Barnitz ◽  
Makoto Kurachi ◽  
Madeleine E. Lemieux ◽  
Nir Yosef ◽  
Michael A. DiIorio ◽  
...  

Abstract Following activation by antigen, costimulation, and inflammation, naïve CD8+ T cells initiate a program of clonal expansion and differentiation resulting in wide-spread changes in expression of genes involved in cell-cycle, metabolism, effector function, apoptosis, and homing. Although, several key transcription factors (TFs) have been shown to be important in effector CD8+ T cell differentiation, the precise transcriptional regulation of this differentiation program remains poorly understood. The AP-1 family member BATF plays an important role in regulating differentiation and function in CD4+ Th17 cells, CD4+ follicular helper T cells, and in Ig class switching in B cells. We now show that BATF is also required for effector CD8+ T cell differentiation and regulates a core program of genes involved in effector differentiation. We found that BATF expression is rapidly up-regulated during effector CD8+ T cell differentiation in the mouse model of lymphocytic choriomeningitis virus (LCMV) infection. To examine the role of BATF in effector differentiation, we studied congenically distinct wild type (WT) and BATF knockout (KO) naïve P14 TCR transgenic CD8+ T cells co- transferred into a WT host. Upon infection, the BATF KO cells exhibited a profound, cell-intrinsic defect in effector CD8+ T cell differentiation, with a ∼400-fold decrease in peak number of effector cells. BATF KO effectors showed sustained activation and increased cell death by the mid-expansion phase of the immune response. To address the question of how loss of BATF causes such a severely diminished antigen-specific response, we profiled the binding sites of BATF throughout the genome by chromatin immunoprecipitation and high-throughput sequencing (ChIP-seq) in primary CD8+ effector cells. We found that BATF bound to regulatory regions in many genes critical for effector differentiation, including transcription factors (e.g. Tbx21, Eomes, Prdm1), genes involved in cytokine signaling (e.g. Il12rb2, Il2ra), homing (e.g. Sell, Selp, Ccr9), effector function (e.g. Gzmb, Ifng, Il2), apoptosis (e.g. Bcl2, Bcl2l1, Mcl1), and T cell activation (e.g. Ctla4, Cd247, Tnfrsf4), suggesting a major role for BATF in effector CD8+ T cell differentiation. Indeed, we found that genes bound by BATF were highly significantly overrepresented among genes that changed as a result of naïve CD8+ T cells differentiating into effectors in vivo (P = 10-27). Comparison of gene expression in in vitro WT and BATF KO effectors confirmed that BATF bound genes were perturbed by BATF loss of function. Analysis of the kinetics of gene expression during the first 72 hours of effector differentiation showed that loss of BATF perturbed the temporal sequence of expression of critical transcription factors, such as T-bet and Eomes, and resulted in inappropriately early cytokine expression. This suggests that BATF may be required to coordinate the earliest events in CD8+ T cell effector differentiation. To test this hypothesis, we used in vivo CFSE tracking to follow the early CD8+ T cell response during LCMV infection. We found that while BATF KO CD8+ T cells initiate cell division, there was a dramatic collapse in the ability to sustain proliferation and differentiation as early as day 3 post-infection. These results indicate that BATF ensures the orderly progression of a program of genes required by effector cells, restraining the expression of some and promoting the expression of others. More broadly, our results suggest that BATF may provide a common regulatory infrastructure for the development of effector cells in all T cell lineages. Disclosures: Wherry: Genentech: Patents & Royalties.


2004 ◽  
Vol 16 (8) ◽  
pp. 1109-1124 ◽  
Author(s):  
Myeong Sup Lee ◽  
Kristina Hanspers ◽  
Christopher S. Barker ◽  
Abner P. Korn ◽  
Joseph M. McCune

2009 ◽  
Vol 206 (12) ◽  
pp. 2685-2699 ◽  
Author(s):  
Monica Zamisch ◽  
Linhua Tian ◽  
Roland Grenningloh ◽  
Yumei Xiong ◽  
Kathryn F. Wildt ◽  
...  

The transcription factor Ets1 contributes to the differentiation of CD8 lineage cells in the thymus, but how it does so is not understood. In this study, we demonstrate that Ets1 is required for the proper termination of CD4 expression during the differentiation of major histocompatability class 1 (MHC I)–restricted thymocytes, but not for other events associated with their positive selection, including the initiation of cytotoxic gene expression, corticomedullary migration, or thymus exit. We further show that Ets1 promotes expression of Runx3, a transcription factor important for CD8 T cell differentiation and the cessation of Cd4 gene expression. Enforced Runx3 expression in Ets1-deficient MHC I–restricted thymocytes largely rescued their impaired Cd4 silencing, indicating that Ets1 is not required for Runx3 function. Finally, we document that Ets1 binds at least two evolutionarily conserved regions within the Runx3 gene in vivo, supporting the possibility that Ets1 directly contributes to Runx3 transcription. These findings identify Ets1 as a key player during CD8 lineage differentiation and indicate that it acts, at least in part, by promoting Runx3 expression.


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