Related Experiment Video
Updated: Mar 28, 2026

08:20
In Vitro Differentiation of Human CD4+FOXP3+ Induced Regulatory T Cells (iTregs) from Naïve CD4+ T Cells Using a TGF-β-containing Protocol
Published on: December 30, 2016
21.8K
Transcriptome profiling of human FoxP3+ regulatory T cells
Ravikiran Bhairavabhotla1, Yong C Kim1, Deborah D Glass1
1Laboratory of Immunology, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD 20892, USA.
Human Immunology
|December 22, 2015
Summary
This study deeply characterizes the gene signature of human T regulatory cells (Tregs), identifying novel differentially expressed genes. These findings enhance understanding of Treg function and gene interactions.
Area of Science:
- Immunology
- Molecular Biology
- Genomics
Background:
- T regulatory cells (Tregs) are crucial for immune homeostasis.
- Understanding the specific gene expression profile of human Tregs is essential for immunological research.
Purpose of the Study:
- To comprehensively characterize the gene signature of human FoxP3(+) T regulatory cells (Tregs).
- To identify and validate novel genes differentially expressed in human Tregs.
- To investigate the functional roles of newly identified genes in Treg activity.
Main Methods:
- RNA sequencing (RNA-seq) and nCounter system for gene expression analysis.
- TaqMan low-density arrays for microRNA (miRNA) expression profiling.
- In vitro Treg suppression assays with gene knockdown and overexpression.
Main Results:
- Confirmed selective expression of known Treg genes (FoxP3, IKZF2, CTLA4).
- Identified and validated novel differentially expressed genes in human Tregs, including RTKN2 and LAYN.
- Characterized the functional roles of RTKN2 and LAYN in Treg suppression assays.
Conclusions:
- Established a detailed gene and miRNA expression signature for human Tregs.
- Provided insights into the functional significance of novel genes in Treg biology.
- Generated a hypothetical interactome to further understand Treg and T conventional cell gene networks.

