<HashMap><database>biostudies-literature</database><scores/><additional><omics_type>Unknown</omics_type><volume>5(2)</volume><submitter>Ganesan S</submitter><pubmed_abstract>Studying RNA splicing factor mutations is challenging due to difficulties in distinguishing wild-type and mutant cells within complex human tissues and inaccuracies associated with reconstructing splicing signals from short-read sequencing data. Here, we present Genotyping of Transcriptomes (GoT)-Splice, a protocol that overcomes these limitations by combining GoT with enhanced long-read single-cell transcriptome and cell-surface proteomics profiling. We describe steps for long-read library preparation and analysis, followed by cDNA re-amplification, enrichment of mutation of interest, sample indexing, and GoT library preparation. For complete details on the use and execution of this protocol, please refer to Cortés-López et al.&lt;sup>1&lt;/sup>.</pubmed_abstract><journal>STAR protocols</journal><pagination>102966</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC10966806</full_dataset_link><repository>biostudies-literature</repository><pubmed_title>GoT-Splice protocol for multi-omics profiling of gene expression, cell-surface proteins, mutational status, and RNA splicing in human cells.</pubmed_title><pmcid>PMC10966806</pmcid><pubmed_authors>Chamely P</pubmed_authors><pubmed_authors>Gaiti F</pubmed_authors><pubmed_authors>Hickey S</pubmed_authors><pubmed_authors>Ganesan S</pubmed_authors><pubmed_authors>Hawkins AG</pubmed_authors><pubmed_authors>Swett AD</pubmed_authors><pubmed_authors>Juul S</pubmed_authors><pubmed_authors>Cortes-Lopez M</pubmed_authors><pubmed_authors>Dai X</pubmed_authors><pubmed_authors>Landau DA</pubmed_authors></additional><is_claimable>false</is_claimable><name>GoT-Splice protocol for multi-omics profiling of gene expression, cell-surface proteins, mutational status, and RNA splicing in human cells.</name><description>Studying RNA splicing factor mutations is challenging due to difficulties in distinguishing wild-type and mutant cells within complex human tissues and inaccuracies associated with reconstructing splicing signals from short-read sequencing data. Here, we present Genotyping of Transcriptomes (GoT)-Splice, a protocol that overcomes these limitations by combining GoT with enhanced long-read single-cell transcriptome and cell-surface proteomics profiling. We describe steps for long-read library preparation and analysis, followed by cDNA re-amplification, enrichment of mutation of interest, sample indexing, and GoT library preparation. For complete details on the use and execution of this protocol, please refer to Cortés-López et al.&lt;sup>1&lt;/sup>.</description><dates><release>2024-01-01T00:00:00Z</release><publication>2024 Mar</publication><modification>2025-04-21T21:28:34.169Z</modification><creation>2025-04-05T18:25:05.145Z</creation></dates><accession>S-EPMC10966806</accession><cross_references><pubmed>38512867</pubmed><doi>10.1016/j.xpro.2024.102966</doi></cross_references></HashMap>