<HashMap><database>GEO</database><file_versions><headers><Content-Type>application/xml</Content-Type></headers><body><files><Other>ftp://ftp.ncbi.nlm.nih.gov/geo/series/GSE330nnn/GSE330222/</Other></files><type>primary</type></body><statusCode>OK</statusCode><statusCodeValue>200</statusCodeValue></file_versions><scores/><additional><omics_type>Transcriptomics</omics_type><species>Homo sapiens</species><gds_type>Expression profiling by high throughput sequencing</gds_type><full_dataset_link>https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE330222</full_dataset_link><repository>GEO</repository><entry_type>GSE</entry_type></additional><is_claimable>false</is_claimable><name>Short-read and long-read single-cell sequencing capture distinct perturbation effects in CRISPR screens</name><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. 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.</description><dates><publication>2026/05/19</publication></dates><accession>GSE330222</accession><cross_references><GSM>GSM9721529</GSM><GSM>GSM9721527</GSM><GSM>GSM9721528</GSM><GSM>GSM9721534</GSM><GSM>GSM9721532</GSM><GSM>GSM9721533</GSM><GSM>GSM9721530</GSM><GSM>GSM9721531</GSM><GPL>26167</GPL><GPL>34284</GPL><GPL>34382</GPL><GSE>330222</GSE><taxon>Homo sapiens</taxon></cross_references></HashMap>