Constarium
← Search

Omics · study · 2026

Comparative single-cell multiomic analysis reveals evolutionarily conserved and species-specific cellular mechanisms mediating natural retinal aging [Zebrafish multiome_ATAC]

Listed in NCBI GEO

Biological age is a major risk factor in the development of common degenerative retinal diseases such as age-related macular degeneration and glaucoma.

Description

To systematically characterize molecular mechanisms underlying retinal aging, we performed integrated single- cell RNA- and ATAC-Seq analyses of the retina and retinal pigment epithelium (RPE) across the natural lifespan in zebrafish, mice, and humans. By profiling gene expression and chromatin accessibility, we identified extensive cell type- and species-specific aging-dependent changes, with a much smaller number of broadly expressed and conserved genes that include regulators of inflammation and autophagy.

We constructed predictive aging clocks for retinal cell types and observed dynamic, reversible shifts in cellular age following acute injury. Spatial transcriptomic analysis revealed region-specific aging signatures and proximity effects, with Müller glia exhibiting pro-rejuvenating influences on neighboring neurons. Targeted Müller glia-specific induction of Yamanaka factors reduced molecular age in rod photoreceptors and bipolar cells without altering glial age.

Read the rest (1 more)

Our findings define conserved and divergent regulatory and signaling pathways mediating retinal aging, highlighting Müller glia as potential therapeutic targets for combating age-associated retinal dystrophies.

Links

Where it is published

Documentation and papers

Topics

From keywords
Life Sciences
Inferred from text
Biochemistry and cell biology 72%
Provenance · 1 source records, 8 field assertions
SourceKeyLast seenRaw
NCBI GEOGSE32562113 d agoJSON v1
FieldAssertionExtractorEvidence
access_levelsource · NCBI GEOconnector:ncbi_geo@1.0.0
concepts[field].anzsrc:group:3101enrichment · NCBI GEOtaxonomy-embedding@1.1.0title+keywords+description (72%)
concepts[field].local:field:life-sciencesmapping · NCBI GEOconnector:ncbi_geo@1.0.0
concepts[method].geo_series_type:genome-binding-occupancy-profiling-by-high-throughput-sequencingsource · NCBI GEOconnector:ncbi_geo@1.0.0/gdstype
concepts[organism].NCBITaxon:7955source · NCBI GEOconnector:ncbi_geo@1.0.0/taxon
descriptionsource · NCBI GEOconnector:ncbi_geo@1.0.0/summary
publication_datesource · NCBI GEOconnector:ncbi_geo@1.0.0
titlesource · NCBI GEOconnector:ncbi_geo@1.0.0/title