Omics · study · 2026
Perturb-seq delineates gene regulatory programs governing the biology of hematopoietic stem and progenitor cells
Listed in NCBI GEO
To sustain blood formation, hematopoietic stem and progenitor cells (HSPCs) coordinate a multitude of cell biological processes, from cell-cycle control and stress responses to lineage priming.
Description
How genetic perturbations shape these elemental programs in HSPCs, and how such programs relate to stem-cell-associated phenotypes, remains incompletely understood. Here we use Perturb-seq to profile the transcriptional consequences of targeting 520 genes by CRISPRi in primary mouse HSPC cultures.
To resolve perturbation effects in this heterogeneous primary-cell system, we develop an analysis strategy that separates changes in cell-state abundance from local transcriptional effects within cell states, and use these local perturbation signatures to identify 19 gene regulatory programs (GRPs) comprising genes respond coherently to genetic perturbations. Most GRPs map to defined cell biological programs, including protein biosynthesis, cell cycle, inflammatory signaling, and HSC identity.
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By decomposing gene expression data from functional and clinical studies into program activity, we show that GRP activities are associated with and predict phenotypes such as clonal output after transplantation, as well as survival and drug response in AML cohorts. In sum, our study defines perturbation-derived programs of genetic co-regulation in HSPCs and shows that these programs inform stem cell function across physiological and malignant contexts.
Links
Get the data
- GEO FTP directory ftp.ncbi.nlm.nih.gov/geo/series/GSE320nnn/GSE320250 ↗
download · from NCBI GEO
Where it is published
- GEO accession page ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE320250 ↗
landing page · from NCBI GEO
Documentation and papers
- PRJNA1427207 ncbi.nlm.nih.gov/bioproject/PRJNA1427207 ↗
project · from NCBI GEO
Topics
- Stated by source
- Expression profiling by high throughput sequencing · Mus musculus · Other
- From keywords
- Life Sciences
- Inferred from text
- Genetics 70%
Provenance · 1 source records, 9 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| NCBI GEO | GSE320250 | 10 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · NCBI GEO | connector:ncbi_geo@1.0.0 | |
| concepts[field].anzsrc:group:3105 | enrichment · NCBI GEO | taxonomy-embedding@1.1.0 | title+keywords+description (70%) |
| 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[method].geo_series_type:other | 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 |