Key Features
Enhance your research with our curated data sets and powerful platform features. Pluto Bio makes it simple to find and use the data you need.
Learn MoreThe transcriptome analysis of WT and Tcf7/Lef1 double knockout (dKO) Treg subset; ; CD4+ Foxp3+ T regulatory (Treg) cells are key players in preventing lethal autoimmunity and deleterious tissue inflammation. To fulfill these roles, Treg cells undergo activation and differentiate processes to acquire diverse functional properties. However, how Tregs functional specifications are regulated during their differentiation remains poorly understood. Here we show that two TCF/LEF family transcription factors (TFs), TCF1 and LEF1 act redundantly as checkpoint regulators in peripheral Treg homeostatic differentiation and functional subset specification. We find that gradient expression of TCF1 and LEF1 distinguishes Treg cells into three distinct subsets. Sustained expression of TCF1/LEF1 retains Treg at their resting stage. Conversely, conditional knockout of TCF1 and LEF1 promotes the effector-like phenotype in bulk Treg cells, but surprisingly renders the mice susceptible to early onset of systemic autoimmunity. This uncoupling between Treg effector phenotype and their function in suppressing autoimmunity is attributed by two TCF1/LEF1-centered mechanisms. First, the ablation of TCF1 and LEF1 in Treg cells abolishes the generation of T follicular regulatory (Tfr) cells, leading to unrestrained T follicular helper (Tfh) and germinal center B cell responses. Second, TCF1 and LEF1 are required for Treg survival under competitive conditions. Thus, TCF1 and LEF1 play critical roles in Treg homeostatic maintenance and Tfr generation. SOURCE: Bi-Huei Yang (bihueiyang@ucsd.edu) - UCSD
View on GEOView in PlutoEnhance your research with our curated data sets and powerful platform features. Pluto Bio makes it simple to find and use the data you need.
Learn MoreUse Pluto's intuitive interface to analyze and visualize data for this experiment. Pluto's platform is equipped with an API & SDKs, making it easy to integrate into your internal bioinformatics processes.
Read about post-pipeline analysisView quality control data and experiment metadata for this experiment.
Request imports from GEO or TCGA directly within Pluto Bio.
Chat with our Scientific Insights team