Omics · study · 2026
Spatially organizing million callus cells identify the core-network enable tomato shoot regeneration [scRNA-Seq]
Listed in NCBI GEO
Plants can regenerate entire organs from somatic cells, offering a powerful system to uncover fundamental principles of cellular reprogramming and self-organization.
Description
Unlike animals, depending on pre-existing stem cell niches, plants re-establish pluripotency de novo. Although current understanding emphasizes hormonal control and external environmental cues, a unifying framework that explains how millions of cells coordinate fate decisions across space and time remains elusive.
Here, we construct a million-cell spatial transcriptomic atlas of plant regeneration, achieving mesoscale resolution observation for all stages of tomato callus development. This atlas reveals a tripartite stem cell niche architecture: an outer signaling layer, intermediate plastic zone, and a quiescent core, features reminiscent of animal regenerative niches. We uncover a fundamental Inducer-Maintainer-Trigger (IMT) triad model, wherein PI-2 (Inducer) establishes a stem cell activating microenvironment, DCL2/22-nt siRNAs (Maintainer) safeguard pluripotency through post-transcriptional regulation, and EPFL8 (Trigger) initiates stem cell niche establishment.
Read the rest (1 more)
This triad model unifies niche signaling, small RNA-mediated plasticity, and metabolic-state-dependent activation, drawing parallels between plant and animal regeneration. Beyond resolving key questions in plant biology, our findings highlight deep evolutionary convergence in regenerative logic across multicellular life, offering new blueprints for engineering regeneration in synthetic biology, crop science, and tissue engineering.
Links
Get the data
- GEO FTP directory ftp.ncbi.nlm.nih.gov/geo/series/GSE293nnn/GSE293946 ↗
download · from NCBI GEO
Where it is published
- GEO accession page ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE293946 ↗
landing page · from NCBI GEO
Documentation and papers
- PRJNA1240864 ncbi.nlm.nih.gov/bioproject/PRJNA1240864 ↗
project · from NCBI GEO
Topics
- Stated by source
- Expression profiling by high throughput sequencing
- From keywords
- Life Sciences
- Inferred from text
- Single-cell RNA sequencing 65%
Provenance · 1 source records, 7 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| NCBI GEO | GSE293946 | 10 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: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 |