MassIVE MSV000086944

Partial Public PXD024364

Deep Human Proteome Sequencing Enables Global Detection of Mutations and Alternative Splicing

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Description

Mass spectrometry-based proteomics now routinely enables identification of over 10,000 human proteins from a single sample. However, proteins are typically identified by peptide sequences representing about 20% of all proteinogenic amino acids encoded in the transcriptome. Deeper protein sequencing - detection of all amino acids - is imperative for proteoform discovery and quantitative comparison. Here, we utilized six ENCODE cell lines, six proteases, and three tandem mass spectrometry (MS/MS) fragmentation methods to collect 2,491 raw MS data files. From these data we identified 17,717 protein groups with a median sequence coverage of 79.2%, confirming over eight million unique human amino acid residues. We compare our proteomics data with transcriptomics data and demonstrate how such deep proteome coverage can enable detection of over 7,000 proteoforms including 70.9 to 90.6% of all non-synonymous mutations and over 5,000 alternative splicing event junctions. Our dataset represents a valuable resource as the largest human proteome with the highest sequence coverage ever reported. [doi:10.25345/C5WF83] [dataset license: CC0 1.0 Universal (CC0 1.0)]

Keywords: single amino acid polymorphism ; splice variant ; deep sequencing ; transcriptomics ; proteomics ; fractionation

Contact

Principal Investigators:
(in alphabetical order) 		Joshua Coon, University of Wisconsin - Madison, United States
Juergen Cox, Max Planck Institute of Biochemistry, Germany
Submitting User: coonlabs
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Distinct protein accessions are counted across all files submitted in the "Statistical Analysis of Quantified Analytes" category having a "Protein" column in this dataset.

"N/A" means no results of this type were submitted.
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