Omics · study · 2026
Joint analysis of multiply perturbed cells improves statistical power and cost efficiency in Perturb-seq screens
Listed in NCBI GEO
Perturb-seq measures transcriptomic responses to genetic perturbations at scale, but standard low-MOI designs remain resource-intensive.
Description
Conventional designs aim to recover one guide RNA per cell and often discard cells carrying multiple guides during analysis. Here, we characterize how overloading cells with guides affects signal recovery, information loss, and cost reduction.
Increasing guide RNA dosage eventually induced cellular stress and suppressed cell-cycle progression. Among multiplets, cells carrying two or three guides recovered perturbation responses better than higher-order guide multiplets. In a 5000-gene Perturb-seq screen across MOI levels, high MOI reduced per-cell costs by 81% while keeping information loss within 1.5-fold of a low-MOI baseline.
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In existing genome-wide Perturb-seq data, incorporating previously discarded multiplets increased usable cell numbers and improved statistical power. Compared with a singlet-only holdout set, adding multiplets moved signal recovery closer to the theoretical reproducibility limit. Together, these results provide an experimental and computational framework for designing cost-efficient Perturb-seq screens at scale.
Links
Get the data
- GEO FTP directory ftp.ncbi.nlm.nih.gov/geo/series/GSE337nnn/GSE337988 ↗
download · from NCBI GEO
Where it is published
- GEO accession page ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE337988 ↗
landing page · from NCBI GEO
Documentation and papers
- PRJNA1492064 ncbi.nlm.nih.gov/bioproject/PRJNA1492064 ↗
project · from NCBI GEO
Topics
- Stated by source
- Expression profiling by high throughput sequencing · Homo sapiens
- From keywords
- Life Sciences
- Inferred from text
- Genetics 71%
Provenance · 1 source records, 8 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| NCBI GEO | GSE337988 | 13 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 (71%) |
| 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[organism].NCBITaxon:9606 | 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 |