Back

An atlas of gene regulatory networks for T memory cells in youth and old age

Wayman, J. A.; Thomas, A.; Bejjani, A. T.; Katko, A.; Almanan, M.; Godarova, A.; Korinfskaya, S.; Cazares, T. A.; Yukawa, M.; Kottyan, L. C.; Barski, A.; Chougnet, C. A.; Hildeman, D. A.; Miraldi, E. R.

2023-03-10 immunology
10.1101/2023.03.07.531590 bioRxiv
Show abstract

Aging profoundly affects immune-system function, promoting susceptibility to pathogens, cancers and chronic inflammation. We previously identified a population of IL-10-producing, T follicular helper-like cells ("Tfh10"), linked to suppressed vaccine responses in aged mice. Here, we integrate single-cell (sc)RNA-seq, scATAC-seq and genome-scale modeling to characterize Tfh10 - and the full CD4+ memory T cell (CD4+TM) compartment - in young and old mice. We identified 13 CD4+TM populations, which we validated through cross-comparison to prior scRNA-seq studies. We built gene regulatory networks (GRNs) that predict transcription-factor control of gene expression in each T-cell population and how these circuits change with age. Through integration with pan-cell aging atlases, we identified intercellular-signaling networks driving age-dependent changes in CD4+TM. Our atlas of finely resolved CD4+TM subsets, GRNs and cell-cell communication networks is a comprehensive resource of predicted regulatory mechanisms operative in memory T cells, presenting new opportunities to improve immune responses in the elderly.

Matching journals

The top 5 journals account for 50% of the predicted probability mass.

50% of probability mass above

"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.