Omics · study · 2026
A blastema in sea star larvae integrates wound signaling to drive regeneration-specific and developmental gene expression patterns [snRNA-Seq]
Listed in NCBI GEO
Whether regeneration depends on the reactivation of developmental programs, regeneration-specific regulatory mechanisms, or both remains a central question in regeneration biology.
Description
Here, we investigate these processes in regenerating larvae of the sea star Patiria miniata, a deuterostome with robust regenerative capacity. By integrating single-nucleus transcriptomics with chromatin accessibility profiling across development and regeneration, we identify a regeneration-induced blastema cell state that is molecularly distinct from pre-existing larval populations and serves as the source of regenerated tissues.
We show that regeneration is associated with distinct classes of regeneration-responsive enhancers, including those reused from development as well as those predicted to be active during regeneration but not embryogenesis, which link wounding signals to gene regulatory network (GRN) activation. These enhancer classes converge on regulatory programs associated with the transcription factor Runx, positioning Runx as a central node within the inferred regeneration GRN.
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Notably, we identify a Runx-associated regulatory framework that provides a mechanistic explanation for the de novo emergence of sox4⁺ cells during regeneration through novel deployment of developmentally shared enhancers. Together, our results provide a framework for how wound-induced signals specify regenerative cell states and how regeneration and developmental GRNs may be coordinated to rebuild lost tissues.
Links
Get the data
- GEO FTP directory ftp.ncbi.nlm.nih.gov/geo/series/GSE343nnn/GSE343153 ↗
download · from NCBI GEO
Where it is published
- GEO accession page ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE343153 ↗
landing page · from NCBI GEO
Documentation and papers
- PRJNA1298325 ncbi.nlm.nih.gov/bioproject/PRJNA1298325 ↗
project · from NCBI GEO
Topics
- Stated by source
- Expression profiling by high throughput sequencing
- From keywords
- Life Sciences
- Inferred from text
- Evolutionary biology 72% · Single-cell RNA sequencing 65%
Provenance · 1 source records, 8 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| NCBI GEO | GSE343153 | 13 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · NCBI GEO | connector:ncbi_geo@1.0.0 | |
| concepts[field].anzsrc:group:3104 | enrichment · NCBI GEO | taxonomy-embedding@1.1.0 | title+keywords+description (72%) |
| 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%) |
| 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 |