bioRxivCell BiologyPreprint
Cellular senescence is associated with age-related loss of liver zonation and hepatocyte function
Linshan LauxiD, Alisha Aristel, Syed Ali, Kathryn LandeiD, Meiyi LiiD, K. Garrett EvenseniD, Aaron P. HavasiD, Zhen MiaoiD, Jane Zhang, Sam PetersiD, Jiayi HuiD, Luise A. Angelini, Maggie Klaers, Jennie Brocksome, Adam LewisiD, Nishitha Paidimukkala, Mary E. BrowniD, Chase Matthew CarveriD, Marissa J. SchaferiD, Jeffrey H. AlbrechtiD, April WehneriD, Peter D. AdamsiD, Constantin AliferisiD, Oyedele Adewale AdeyiiD, Sundeep KhoslaiD, , Laura J. NiedernhoferiD
Abstract
The liver is organized into tightly regulated zones with distinct metabolic functions but zonation erodes with age. Cellular senescence contributes to aging and liver diseases, however, its impact on aging biology is ill-defined. As part of The Cellular Senescence Network Consortium, we used multiple spatial transcriptomics approaches (GeoMx, Visium, CosMx) with snRNA-seq to profile senescence signatures, zonation markers, and metabolic pathways in livers from wild-type (WT) mice of multiple ages. We observed a loss of canonical zone signatures in aged mouse livers characterized by "expansion" of midlobular (zone 2) marker gene expression, accompanied by diminished expression of zone 3 marker genes by middle-age (18 months), indicative of loss of cell identity. Multiple analytic approaches identified distinct age-, zone- and sex-specific senescence signatures, which were significantly associated with zonation markers changes. This was recapitulated in Ercc1 mutant models of accelerated senescence, supporting a causal role of senescent cells in liver aging. A "no-zone" hepatocyte-like cluster expanded with age and with the strongest Senescence-Associated Secretory Phenotype (SASP) profile. Gene expression profiles from senescent hepatocytes implicate decreased WNT signaling and increased BMP as contributing to age-related loss of zonation. Together, these data elucidate the role of senescent cells in driving aging biology in non-diseased liver through disruption of cell:cell signaling and the loss of metabolic and cell identity gene expression necessary for hepatocyte function.
- organism: mouse
- assay: spatial transcriptomics
- assay: snRNA-seq
- research focus: cell type annotation
- research focus: differential expression
- research focus: gene regulatory network inference
- research focus: cell-cell communication
- approach: statistical model
- approach: machine learning (classical)
- Citations
- 0
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