Searching across hundreds of databases

Our searching services are busy right now. Your search will reload in five seconds.

X
Forgot Password

If you have forgotten your password you can enter your email here and get a temporary password sent to your email.

X
Forgot Password

If you have forgotten your password you can enter your email here and get a temporary password sent to your email.

T Cell Receptor-Regulated TGF-β Type I Receptor Expression Determines T Cell Quiescence and Activation.

Immunity | Apr 17, 2018

It is unclear how quiescence is enforced in naive T cells, but activation by foreign antigens and self-antigens is allowed, despite the presence of inhibitory signals. We showed that active transforming growth factor β (TGF-β) signaling was present in naive T cells, and T cell receptor (TCR) engagement reduced TGF-β signaling during T cell activation by downregulating TGF-β type 1 receptor (TβRI) through activation of caspase recruitment domain-containing protein 11 (CARD11) and nuclear factor κB (NF-κB). TGF-β prevented TCR-mediated TβRI downregulation, but this was abrogated by interleukin-6 (IL-6). Mitigation of TCR-mediated TβRI downregulation through overexpression of TβRI in naive and activated T cells rendered T cells less responsive and suppressed autoimmunity. Naive T cells in autoimmune patients exhibited reduced TβRI expression and increased TCR-driven proliferation compared to healthy subjects. Thus, TCR-mediated regulation of TβRI-TGF-β signaling acts as a crucial criterion to determine T cell quiescence and activation.

Pubmed ID: 29669252 RIS Download

Research resources used in this publication

Research tools detected in this publication

Data used in this publication

None found

Associated grants

  • Agency: Intramural NIH HHS, Id: Z99 DE999999

Publication data is provided by the National Library of Medicine ® and PubMed ®. Data is retrieved from PubMed ® on a weekly schedule. For terms and conditions see the National Library of Medicine Terms and Conditions.

This is a list of tools and resources that we have found mentioned in this publication.


TRANSFAC

Database that contains data on eukaryotic transcription factors, their experimentally-proven binding sites, consensus binding sequences (positional weight matrices) and regulated genes. Its broad compilation of binding sites allows the derivation of positional weight matrices. The TRANSFAC programs use the integrated matrices and site sequences in TRANSFAC to perform matrix-or pattern-based searches of factor binding sites in regulatory DNA sequences. Thus, it is possible to make predictions for most gene promoters, which have not been studied in detail yet. TRANSFAC also includes a tool to automatically visualize gene-regulatory networks being based on interlinked factor and gene entries in the database (gene regulation and gene expression). In addition, TRANSFAC contains * Extensive information on transcription factors and their structures, functions, expression patterns * In-vivo binding sequences from ChIP on chip experiments

tool

View all literature mentions

GraphPad Prism

Statistical analysis software that combines scientific graphing, comprehensive curve fitting (nonlinear regression), understandable statistics, and data organization. Designed for biological research applications in pharmacology, physiology, and other biological fields for data analysis, hypothesis testing, and modeling.

tool

View all literature mentions

FlowJo

Software for single-cell flow cytometry analysis. Its functions include management, display, manipulation, analysis and publication of the data stream produced by flow and mass cytometers.

tool

View all literature mentions

GraphPad

A commercial graphing software company that offers scientific software for statistical analyses, curve fitting and data analysis. It offers four programs: Prism, InStat, StatMate and QuickCalcs.

tool

View all literature mentions