Omics · study · 2026
In vivo single-cell RNA metabolic labeling resolves early transcriptional responders in the regenerating zebrafish heart [scrna-seq]
Listed in NCBI GEO
The adult zebrafish heart has high regenerative capacity.
Description
Heart injury triggers a cascade of events including inflammation, fibrosis, revascularization, and proliferation of cardiomyocytes, culminating in full functional recovery of the heart. However, the first events that are induced upon injury and trigger the regenerative cascade remain elusive.
Here, we established in vivo single-cell RNA metabolic labeling in the adult heart to systematically identify the cells that first respond to injury, as well as the processes that are induced in these sentinel cells. We found that activation of damage response pathways including Toll-like receptor signaling and expression of pro-inflammatory genes in macrophages are the first response to heart injury. In conjunction with detailed dissection of single-cell transcriptomics atlases, this finding led us to postulate that macrophage-specific inhibition of Toll-like receptor signaling would improve hallmarks of regeneration, a hypothesis we validated in functional experiments.
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In summary, our work establishes RNA metabolic labeling as a powerful approach for measuring perturbation response in vivo, identifies macrophages as the sentinel cells of the heart, and highlights the importance of fine-tuning the early pro-inflammatory phase for optimal regenerative outcomes.
Links
Get the data
- GEO FTP directory ftp.ncbi.nlm.nih.gov/geo/series/GSE305nnn/GSE305094 ↗
download · from NCBI GEO
Where it is published
- GEO accession page ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE305094 ↗
landing page · from NCBI GEO
Documentation and papers
- PRJNA1304412 ncbi.nlm.nih.gov/bioproject/PRJNA1304412 ↗
project · from NCBI GEO
- PubMed 42086590 pubmed.ncbi.nlm.nih.gov/42086590 ↗
publication · from NCBI GEO
Topics
- Stated by source
- Danio rerio · Expression profiling by high throughput sequencing
- From keywords
- Life Sciences
- Inferred from text
- Heart 75% · Single-cell RNA sequencing 65%
Provenance · 1 source records, 9 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| NCBI GEO | GSE305094 | 7 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · NCBI GEO | connector:ncbi_geo@1.0.0 | |
| concepts[anatomy].local:anatomy:heart | enrichment · NCBI GEO | keyword-concept-rules@1.0.0 | title+description (75%) |
| 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:single-cell-rna-seq | enrichment · NCBI GEO | keyword-concept-rules@1.0.0 | title+description (65%) |
| concepts[organism].NCBITaxon:7955 | 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 |