Abstract
We present the protocol for the identification of alternatively spliced peptide sequences from tandem mass spectrometry datasets searched using X!Tandem against our modified ECgene resource with all potential translation products and then matched with the Michigan Peptide to Protein Integration (MPPI) scheme. This approach is suitable for human and mouse datasets. Application of the method is illustrated with a study of the Kras activation-Ink4/Arf deletion mouse model of human pancreatic ductal adenocarcinoma.
Keywords
- Alternative Splice
- Reverse Transcription Polymerase Chain Reaction
- Spinal Muscular Atrophy
- Myotonic Dystrophy
- Peptide Identification
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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Menon, R., Omenn, G.S. (2011). Identification of Alternatively Spliced Transcripts Using a Proteomic Informatics Approach. In: Hamacher, M., Eisenacher, M., Stephan, C. (eds) Data Mining in Proteomics. Methods in Molecular Biology, vol 696. Humana Press. https://doi.org/10.1007/978-1-60761-987-1_20
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DOI: https://doi.org/10.1007/978-1-60761-987-1_20
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Publisher Name: Humana Press
Print ISBN: 978-1-60761-986-4
Online ISBN: 978-1-60761-987-1
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