Human single-cell atlas maps tissue-specific senescence signatures across six organs
In public single-cell data from 1.5 million cells of six healthy human tissues, senescent cells showed organ-specific aging features and tissue-specific signaling patterns; this is an abstract of a computational reanalysis, not a clinical result. [1]
Automatic summary · not editorially reviewed
The key findings
The dataset comprised 1.5 million cells from six tissues, 64 annotated cell types and 177 donors aged 15 to 88 years. [1]
The authors report organ-specific aging features in senescent cells of different cell types. [1]
The analysis revealed novel tissue-specific patterns of ligand-receptor interactions between senescent cells and their microenvironment. [1]
The source at a glance
- Study type / format
- Computational reanalysis of public single-cell transcriptome data (abstract)
- Population / context
- Public single-cell RNA sequencing data from healthy donors: skin, lungs, small and large intestine, kidneys and heart; 177 donors aged 15 to 88 years.
- Summary based on
- Study abstract
- Original publication
- September 21, 2026
Public single-cell data from six human tissues
The study asked how heterogeneous human senescent cells are across tissues at single-cell transcriptome resolution. The authors used publicly available single-cell RNA sequencing data from healthy donors for skin, lungs, small and large intestine, kidneys and heart. The final dataset comprised 1.5 million cells from six tissues, covering 64 annotated cell types across 177 donors aged 15 to 88 years.
Supporting source [1]
Organ-specific features and tissue-specific signaling
The authors adapted a signature identification algorithm to find genes linked to aging and senescent status within each dataset. For senescent cells of each cell type they derived differentially expressed gene sets and ran gene set enrichment analysis using terms for functional status, metabolic activity and stress responses. They report organ-specific aging features in senescent cells of different cell types, and they assessed antigen presentation pathways and production of senescence-associated pro-inflammatory factors (SASP) across tissues. The analysis also revealed novel tissue-specific patterns of ligand-receptor interactions between senescent cells and their microenvironment.
Supporting source [1]
Computational reanalysis with abstract-only scope
This is a reanalysis of existing public data, not a new experiment or a trial in people. The reported organ-specific features and signaling patterns are associations found in transcriptome data; the abstract does not show that senescent cells cause aging or disease, nor that reducing them would help. Only the abstract was reviewed; the full text was not reviewed, so details of methods, statistics and limitations beyond the abstract are not confirmed here.
Supporting source [1]
How to interpret this
Abstract only; the full text was not reviewed. This is a computational reanalysis of public single-cell data, and the reported patterns are associations, not evidence of causation or of clinical benefit.
Based on the study abstract; the full paper, tables and supplementary data were not reviewed.
Source & supporting passages
Matveeva K, Shevyrev D. · europepmc.org · September 21, 2026