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Aliferis, C.

Publications and source records attributed to Aliferis, C..

2 recordsLinked to original sources

Cellular senescence is associated with age-related loss of liver zonation and hepatocyte function

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.

cell biology↗

Locus-Level Transposable Element Profiling Resolves Division-Coupled Transcriptional Dynamics During Human Endoderm Specification

BackgroundTransposable elements (TEs) constitute nearly half of the human genome and are now recognized as significant contributors to mammalian gene regulatory networks. Despite this, most transcriptomic studies quantify TE expression at the subfamily level, which may obscure meaningful variation arising from individual insertion sites. Whether resolving TE expression to individual loci can reveal biologically distinct signals during stem cell differentiation has not been systematically characterized. ResultsWe re-analysed a published RNA-seq time course of FUCCI-h9 human embryonic stem cells differentiating into definitive endoderm (0-72 hour, seven time points, three division cycles, three biological replicates), quantifying expression in parallel at two complementary resolutions: TE subfamilies using TEtranscripts and individual TE loci using TElocal. The primary finding is that individual TE loci capture heterogeneous transcriptional responses at cell division boundaries that are entirely absent at the subfamily level. Within-division-state PC1 variance for TE loci was substantially elevated at the first division cycle (6.72; 95% bootstrap CI 0.63-8.48) compared with TE subfamilies (0.22; CI 0.04-0.34), with non-overlapping confidence intervals providing statistically robust support for the resolution advantage. Differential expression analysis identified over 18,000 dynamic TE loci across the time course, exceeding the 268 differentially expressed subfamilies, with alternating phases of silencing and reactivation resolved only at locus resolution. Differentially expressed TE loci were non-randomly enriched at superenhancers (fold enrichment: 9.1-23.5-fold; p<0.001 by permutation), with peak overlap at 36-48 hours coinciding with the second cell division and endoderm commitment. ERV1-class elements, particularly HERVH-int, were the dominant contributors, and representative loci near the endoderm regulators MIXL1 and ID3 showed differentiation-induced RNA-seq signal within proximal superenhancer domains. ConclusionsTE loci exhibit heterogeneous transcriptional responses at cell division boundaries, a signal with non-overlapping bootstrap confidence intervals relative to TE subfamilies at the first division cycle that is entirely masked by subfamily-level aggregation. This division-boundary resolution advantage, together with permutation-confirmed enrichment of dynamic loci at superenhancers during a discrete 36-48 hour endoderm commitment window, supports broader adoption of locus-resolved TE quantification as a complement to conventional gene expression analysis in developmental genomics.

bioinformatics↗