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scSNV-seq: high-throughput phenotyping of single nucleotide variants by coupled single-cell genotyping and transcriptomics.
Cooper, Sarah E; Coelho, Matthew A; Strauss, Magdalena E; Gontarczyk, Aleksander M; Wu, Qianxin; Garnett, Mathew J; Marioni, John C; Bassett, Andrew R.
Afiliação
  • Cooper SE; Cellular and Gene Editing Research, Wellcome Sanger Institute, Hinxton, Cambridge, CB10 1SA, UK.
  • Coelho MA; Translational Cancer Genomics, Wellcome Sanger Institute, Hinxton, Cambridge, CB10 1SA, UK.
  • Strauss ME; Open Targets, Wellcome Genome Campus, Hinxton, Cambridge, CB10 1SD, UK.
  • Gontarczyk AM; EMBL-European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge, CB10 1SD, UK.
  • Wu Q; Cancer Research UK Cambridge Institute, University of Cambridge, Robinson Way, Cambridge, CB2 0RE, UK.
  • Garnett MJ; Cellular and Gene Editing Research, Wellcome Sanger Institute, Hinxton, Cambridge, CB10 1SA, UK.
  • Marioni JC; Cellular and Gene Editing Research, Wellcome Sanger Institute, Hinxton, Cambridge, CB10 1SA, UK.
  • Bassett AR; Translational Cancer Genomics, Wellcome Sanger Institute, Hinxton, Cambridge, CB10 1SA, UK.
Genome Biol ; 25(1): 20, 2024 01 15.
Article em En | MEDLINE | ID: mdl-38225637
ABSTRACT
CRISPR screens with single-cell transcriptomic readouts are a valuable tool to understand the effect of genetic perturbations including single nucleotide variants (SNVs) associated with diseases. Interpretation of these data is currently limited as genotypes cannot be accurately inferred from guide RNA identity alone. scSNV-seq overcomes this limitation by coupling single-cell genotyping and transcriptomics of the same cells enabling accurate and high-throughput screening of SNVs. Analysis of variants across the JAK1 gene with scSNV-seq demonstrates the importance of determining the precise genetic perturbation and accurately classifies clinically observed missense variants into three functional categories benign, loss of function, and separation of function.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Perfilação da Expressão Gênica / RNA Guia de Sistemas CRISPR-Cas Idioma: En Revista: Genome Biol Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Perfilação da Expressão Gênica / RNA Guia de Sistemas CRISPR-Cas Idioma: En Revista: Genome Biol Ano de publicação: 2024 Tipo de documento: Article