ArticleBMC bioinformatics2013
SASD: the Synthetic Alternative Splicing Database for identifying novel isoform from proteomics.
Article in BMC bioinformatics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed, 11 citations in OpenAlex.
- Systematics for types and effects of RNA variations.RNA biology · 2021Article
- Identification of novel alternative splicing biomarkers for breast cancer with LC/MS/MS and RNA-Seq.BMC bioinformatics · 2020Article
- Towards improved genome-scale metabolic network reconstructions: unification, transcript specificity and beyond.Briefings in bioinformatics · 2016Article
- Proteogenomics: Integrating Next-Generation Sequencing and Mass Spectrometry to Characterize Human Proteomic Variation.Annual review of analytical chemistry (Palo Alto, Calif.) · 2016Review
- Proceedings of the 2013 MidSouth Computational Biology and Bioinformatics Society (MCBIOS) Conference.BMC bioinformatics · 2013Article
- Novel alternative splicing isoform biomarkers identification from high-throughput plasma proteomics profiling of breast cancer.BMC systems biology · 2013Article
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Authors and funding
2 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundAlternative splicing is an important and widespread mechanism for generating protein diversity and regulating protein expression. High-throughput identification and analysis of alternative splicing in the protein level has more advantages than in the mRNA level. The combination of alternative splicing database and tandem mass spectrometry provides a powerful technique for identification, analysis and characterization of potential novel alternative splicing protein isoforms from proteomics.
resultsWe used a three-step pipeline to create a synthetic alternative splicing database (SASD) to identify novel alternative splicing isoforms and interpret them at the context of pathway, disease, drug and organ specificity or custom gene set with maximum coverage and exclusive focus on alternative splicing. First, we extracted information on gene structures of all genes in the Ensembl Genes 71 database and incorporated the Integrated Pathway Analysis Database. Then, we compiled artificial splicing transcripts. Lastly, we translated the artificial transcripts into alternative splicing peptides.
conclusionsThe SASD provides the scientific community with an efficient means to identify, analyze, and characterize novel Exon Skipping and Intron Retention protein isoforms from mass spectrometry and interpret them at the context of pathway, disease, drug and organ specificity or custom gene set with maximum coverage and exclusive focus on alternative splicing.
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Registered trials
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