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Korinfskaya, S.

Publications and source records attributed to Korinfskaya, S..

2 recordsLinked to original sources

Gene regulatory network determinants of rapid recall in human memory CD4+ T cells

Rapid recall is the hallmark of memory T cells. While naive cells require days to mount effector responses to new threats, antigen-experienced memory cells produce cytokines within hours of repeat encounter. Memory establishment and the control of rapid recall across lifespan is poorly understood. Epigenetic poising is a likely mechanism. Compared to naive, memory cells exhibit enhanced chromatin accessibility proximal to rapid recall genes, but the transcription factors (TFs) that establish, maintain and utilize these putative regulatory elements are unknown. We leverage single-nuclei (sn)multiome-seq (snRNA-seq and snATAC-seq) to characterize the dynamic activation responses of CD4+ T cell subsets and (2) reconstruct the underlying gene regulatory networks. Memory-associated TFs (MAF, PRDM1, RUNX2, SMAD3, KLF6) were predicted to orchestrate rapid recall. KLF6 binding to its predicted target genes was confirmed by ChIP-seq, while the memory-associated activities of all five factors replicated in independent scRNA-seq studies. Integrating GWAS data, we nominate CD4+ T cell populations and gene regulatory mechanisms that might underly genetic risk to immune-mediated diseases.

systems biology↗

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

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.

immunology↗