NatureGenomicsPeer-reviewed journal article
Molecular hallmarks of heterochronic parabiosis at single cell resolution
Róbert PálovicsiD, Andreas KelleriD, Nicholas Schaum, Weilun Tan, Tobias FehlmanniD, Michael BorjaiD, Fabian KerniD, Liana N. Bonanno, Kruti Calcuttawala, James T. WebberiD, Aaron McGeeveriD, Nicole AlmanzariD, Jane AntonyiD, Ankit S. BagheliD, Isaac Bakerman, Ishita Bansal, Ben A. BarresiD, Philip A. BeachyiD, Daniela Berdnik, Biter BileniD, Douglas BrownfieldiD, Corey J. Cain, Charles K. F. ChaniD, Michelle B. Chen, Michael F. ClarkeiD, , Rahul SinhaiD
Abstract
Slowing or reversing biological ageing would have major implications for mitigating disease risk and maintaining vitality. While an increasing number of interventions show promise for rejuvenation, the effectiveness on disparate cell types across the body and the molecular pathways susceptible to rejuvenation remain largely unexplored. We performed single-cell RNA-sequencing on 13 organs to reveal cell type specific responses to young or aged blood in heterochronic parabiosis. Adipose mesenchymal stromal cells, hematopoietic stem cells, hepatocytes, and endothelial cells from multiple tissues appear especially responsive. On the pathway level, young blood invokes novel gene sets in addition to reversing established ageing patterns, with the global rescue of genes encoding electron transport chain subunits pinpointing a prominent role of mitochondrial function in parabiosis-mediated rejuvenation. Intriguingly, we observed an almost universal loss of gene expression with age that is largely mimicked by parabiosis: aged blood reduces global gene expression, and young blood restores it. Altogether, these data lay the groundwork for a systemic understanding of the interplay between blood-borne factors and cellular integrity.
- organism: mouse
- assay: scRNA-seq
- research focus: cell type annotation
- research focus: differential expression
- research focus: gene regulatory network inference
- approach: statistical model
- Citations
- 154
- FWCI
- 10.14
- Field percentile
- top 1%
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