Genomics

Dataset Information

0

Transcriptional characterization of tissue-Tregs and whole tissues of skeletal muscles in muscle Treg TCR transgenic mice.


ABSTRACT: Foxp3+CD4+ regulatory T cells (Tregs) play important roles in controlling both homeostatic processes and immune responses at the tissue and organismal levels. For example, Tregs promote muscle regeneration in acute or chronic injury models by direct effects on local muscle progenitor cells as well as on infiltrating inflammatory cells. Muscle Tregs have a transcriptome, a T cell receptor (TCR) repertoire and effector capabilities distinct from those of classical, lymphoid-organ Tregs, but it has proven difficult to study the provenance and functions of these unique features due to the rarity of muscle Tregs and their fragility upon isolation. Here, we attempted to side-step these hindrances by generating, characterizing and employing a line of mice carrying rearranged transgenes encoding the TCRα and TCRβ chains from a Treg clone rapidly and specifically expanded within acutely injured hindlimb muscle of young mice. Tregs displaying the transgene-encoded TCR preferentially accumulated in injured hindlimb muscle in a TCR-dependent manner both in the straight transgenic model and in adoptive-transfer systems; non-Treg CD4+ T cells expressing the same TCR did not specifically localize in injured muscle. The definitive muscle-Treg transcriptome was not established until the transgenic Tregs inhabited muscle. When crossed onto the mdx model of Duchenne muscular dystrophy, the muscle-Treg TCR transgenes drove enhanced accumulation of Tregs in hindlimb muscles and improved muscle regeneration. These findings invoke the possibility of harnessing muscle Tregs or their TCRs for treatment of skeletal muscle pathologies.

ORGANISM(S): Mus musculus

PROVIDER: GSE140419 | GEO | 2019/12/31

REPOSITORIES: GEO

Similar Datasets

2013-12-15 | GSE50097 | GEO
2016-01-10 | GSE76697 | GEO
2016-01-10 | E-GEOD-76697 | biostudies-arrayexpress
2016-01-12 | E-GEOD-76722 | biostudies-arrayexpress
2016-01-12 | E-GEOD-76733 | biostudies-arrayexpress
2013-12-15 | E-GEOD-50097 | biostudies-arrayexpress
2013-12-15 | E-GEOD-50096 | biostudies-arrayexpress
2016-01-12 | GSE76733 | GEO
2016-01-12 | GSE76722 | GEO
2013-12-15 | GSE50096 | GEO