Omics · study · 2026
Short-read and long-read single-cell sequencing capture distinct perturbation effects in CRISPR screens
Listed in NCBI GEO
Description
Background
Single-cell CRISPR screens have transformed functional genomics by enabling scalable, systematic investigation of gene function. Despite this, transcriptional complexity has largely been overlooked, with studies focusing on gene-level effects rather than isoforms. Methods capable of capturing splicing and isoform usage have emerged, including long-read sequencing and alternative library preparation strategies, but their suitability for large-scale perturbation screens remains unevaluated.
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Results: We compare two single-cell library preparation methods (5' 10x Genomics and Parse Biosciences Evercode) across Illumina short-read, Oxford Nanopore Technologies, and PacBio long-read sequencing, applying CRISPRi to silence three genes with distinct regulatory roles (DDX6, GEMIN5 and GFI1B) in K562 cells. While short-read methods can detect some alternative splicing events, only long-read sequencing consistently captures isoform-level changes.
Although Parse Evercode provided even coverage across transcripts, we observed strong enrichment of intronic reads, limiting its utility for splicing analysis. The primary constraint of long-read approaches was depth: approximately 21 million reads are required for 80% saturation of splicing events in a single perturbation, underscoring the need for higher-throughput methods. Despite these limitations, we show that GEMIN5 perturbation produced modest differential expression but the most extensive splicing changes, an effect invisible to gene-level analysis, highlighting the importance of extending CRISPR screens to isoform-level readouts.
Conclusions: We provide a practical framework for isoform-level analysis in single-cell CRISPR screens, identifying both the capabilities and current limitations of available approaches. As perturbation studies scale, long-read sequencing will be essential for comprehensive functional interpretation, capturing biology missed by gene-level analysis.
Links
Get the data
- GEO FTP directory ftp.ncbi.nlm.nih.gov/geo/series/GSE330nnn/GSE330222 ↗
download · from NCBI GEO
Where it is published
- GEO accession page ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE330222 ↗
landing page · from NCBI GEO
Documentation and papers
- PRJNA1463191 ncbi.nlm.nih.gov/bioproject/PRJNA1463191 ↗
project · from NCBI GEO
Topics
- Stated by source
- Expression profiling by high throughput sequencing · Homo sapiens
- From keywords
- Life Sciences
- Inferred from text
- Genetics 69% · Sequencing 75%
Provenance · 1 source records, 9 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| NCBI GEO | GSE330222 | 12 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 (69%) |
| 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:sequencing | enrichment · NCBI GEO | keyword-concept-rules@1.0.0 | title+description (75%) |
| 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 |