Excel · study · 2026
Small non-coding RNA profiling in aged beta-cells [miRNA-Seq beta]
Listed in NCBI GEO
Aging is accompanied by functional decline and increased senescence of pancreatic β-cells.
Description
These changes may be influenced by islet-resident macrophages (iMACs) that remodel tissue in response to environmental cues. To explore the molecular mechanisms underlying β-cell aging and senescence, we profiled small non-coding RNAs (sncRNAs) in FACS-sorted β-cells and iMACs from 3- and 12-month-old mouse islets or from senescence-associated βgal (SA-βgal) positive β-cells 8-month-old mice.
Overall, senescent β-cells displayed distinct sncRNA signatures that only partially overlapped with those of aging. However, several miRNAs previously found to be deregulated in obese or diabetic conditions were modulated in both aging and senescent β-cells including upregulation of miRNAs linked to inflammation. In vitro exposure to pro-inflammatory cytokines partially reproduced these profiles.
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Aging also reshaped the β-cell tRNA-derived fragments (tRF) pool, enhancing global mitochondrial tRFs. Interestingly, some changes in miRNAs and tRFs were β-cell specific, whereas others occurred also in different aged metabolic tissues. iMACs also showed age-related sncRNA remodeling, including upregulation of anti-inflammatory miRNAs and mitochondrial tRFs, suggesting adaptive immune reprogramming. Together, these data reveal a profound, coordinated reshaping of the sncRNA landscape in β-cells and iMACs during aging, offering new insights into molecular mechanisms driving age-related islet dysfunction.
Links
Get the data
- GEO FTP directory ftp.ncbi.nlm.nih.gov/geo/series/GSE335nnn/GSE335870 ↗
download · from NCBI GEO
Where it is published
- GEO accession page ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE335870 ↗
landing page · from NCBI GEO
Documentation and papers
- PRJNA1479730 ncbi.nlm.nih.gov/bioproject/PRJNA1479730 ↗
project · from NCBI GEO
Topics
- Stated by source
- Mus musculus · Non-coding RNA profiling by high throughput sequencing
- From keywords
- Life Sciences
Provenance · 1 source records, 7 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| NCBI GEO | GSE335870 | 7 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · NCBI GEO | connector:ncbi_geo@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · NCBI GEO | connector:ncbi_geo@1.0.0 | |
| concepts[method].geo_series_type:non-coding-rna-profiling-by-high-throughput-sequencing | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /gdstype |
| concepts[organism].NCBITaxon:10090 | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /taxon |
| description | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /summary |
| publication_date | source · NCBI GEO | connector:ncbi_geo@1.0.0 | |
| title | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /title |