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Identification of Splice Variants and Isoforms in Transcriptomics and Proteomics.
Su, Taojunfeng; Hollas, Michael A R; Fellers, Ryan T; Kelleher, Neil L.
  • Su T; Department of Molecular Biosciences, Northwestern University, Evanston, Illinois, USA; email: n-kelleher@northwestern.edu.
  • Hollas MAR; Proteomics Center of Excellence, Northwestern University, Evanston, Illinois, USA.
  • Fellers RT; Proteomics Center of Excellence, Northwestern University, Evanston, Illinois, USA.
  • Kelleher NL; Department of Molecular Biosciences, Northwestern University, Evanston, Illinois, USA; email: n-kelleher@northwestern.edu.
Annu Rev Biomed Data Sci ; 6: 357-376, 2023 08 10.
Article en En | MEDLINE | ID: mdl-37561601
ABSTRACT
Alternative splicing is pivotal to the regulation of gene expression and protein diversity in eukaryotic cells. The detection of alternative splicing events requires specific omics technologies. Although short-read RNA sequencing has successfully supported a plethora of investigations on alternative splicing, the emerging technologies of long-read RNA sequencing and top-down mass spectrometry open new opportunities to identify alternative splicing and protein isoforms with less ambiguity. Here, we summarize improvements in short-read RNA sequencing for alternative splicing analysis, including percent splicing index estimation and differential analysis. We also review the computational methods used in top-down proteomics analysis regarding proteoform identification, including the construction of databases of protein isoforms and statistical analyses of search results. While many improvements in sequencing and computational methods will result from emerging technologies, there should be future endeavors to increase the effectiveness, integration, and proteome coverage of alternative splicing events.
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Proteómica / Transcriptoma Tipo de estudio: Diagnostic_studies Idioma: En Año: 2023 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Proteómica / Transcriptoma Tipo de estudio: Diagnostic_studies Idioma: En Año: 2023 Tipo del documento: Article