Omics · study · 2026
qMAP decodes RNA fragmentation dynamics
Listed in NCBI GEO
Recent advances in small RNA research reveal that noncanonical small RNAs, such as tRNA-derived small RNAs (tsRNAs) and rRNA-derived small RNAs (rsRNAs), are more abundant than well-known microRNAs in various tissue/cell types.
Description
Distinct fragmentation of parental RNAs (e.g., tRNA and rRNA) can generate functionally diverse small RNAs. Therefore, we propose a computational tool (qMAP) to identify differential fragmentation of parental RNAs between different biological conditions.
Using qMAP, we tested aging-associated differential RNA fragmentation in mouse sperm heads between young and old mice. 28S rRNA was found to exhibit the most significant differential fragmentation. One short rsRNA candidate (17-nt) and one long rsRNA candidate (44-nt) were selected as their involvement of the observed differential fragmentation of 28S rRNA. These two candidate rsRNAs were transfected into mouse embryonic stem cells (mESCs), respectively. mRNA sequencing on these mESCs revealed a distinct transcriptomic response to the 17-nt and 44-nt rsRNAs.
Links
Get the data
- GEO FTP directory ftp.ncbi.nlm.nih.gov/geo/series/GSE330nnn/GSE330870 ↗
download · from NCBI GEO
Where it is published
- GEO accession page ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE330870 ↗
landing page · from NCBI GEO
Documentation and papers
- PRJNA1465826 ncbi.nlm.nih.gov/bioproject/PRJNA1465826 ↗
project · from NCBI GEO
- PubMed 42477091 pubmed.ncbi.nlm.nih.gov/42477091 ↗
publication · from NCBI GEO
Topics
- Stated by source
- Expression profiling by high throughput sequencing · Mus musculus
- From keywords
- Life Sciences
- Inferred from text
- Sequencing 75%
Provenance · 1 source records, 8 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| NCBI GEO | GSE330870 | 13 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:expression-profiling-by-high-throughput-sequencing | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /gdstype |
| concepts[modality].local:modality:sequencing | enrichment · NCBI GEO | keyword-concept-rules@1.0.0 | title+description (75%) |
| 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 |