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  Global detection of human variants and isoforms by deep proteome sequencing

Sinitcyn, P., Richards, A. L., Weatheritt, R. J., Brademan, D. R., Marx, H., Shishkova, E., et al. (2023). Global detection of human variants and isoforms by deep proteome sequencing. Nature Biotechnology, s41587-023-01714-x. doi:10.1038/s41587-023-01714-x.

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 Creators:
Sinitcyn, Pavel1, Author           
Richards, Alicia L.2, Author
Weatheritt, Robert J.2, Author
Brademan, Dain R.2, Author
Marx, Harald2, Author
Shishkova, Evgenia2, Author
Meyer, Jesse G.2, Author
Hebert, Alexander S.2, Author
Westphall, Michael S.2, Author
Blencowe, Benjamin J.2, Author
Cox, Jürgen1, Author           
Coon, Joshua J.2, Author
Affiliations:
1Cox, Jürgen / Computational Systems Biochemistry, Max Planck Institute of Biochemistry, Max Planck Society, ou_2063284              
2external, ou_persistent22              

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Free keywords: ELECTRON-TRANSFER DISSOCIATION; MULTIPLE ENZYMATIC DIGESTION; MASS-SPECTROMETRY; COMPUTATIONAL PLATFORM; PEPTIDE; IDENTIFICATION; PROTEINS; COVERAGE; MAP; PHOSPHOPROTEOMEBiotechnology & Applied Microbiology;
 Abstract: Deep proteome sequencing achieves similar to 80% coverage of the human proteome.
An average shotgun proteomics experiment detects approximately 10,000 human proteins from a single sample. However, individual proteins are typically identified by peptide sequences representing a small fraction of their total amino acids. Hence, an average shotgun experiment fails to distinguish different protein variants and isoforms. Deeper proteome sequencing is therefore required for the global discovery of protein isoforms. Using six different human cell lines, six proteases, deep fractionation and three tandem mass spectrometry fragmentation methods, we identify a million unique peptides from 17,717 protein groups, with a median sequence coverage of approximately 80%. Direct comparison with RNA expression data provides evidence for the translation of most nonsynonymous variants. We have also hypothesized that undetected variants likely arise from mutation-induced protein instability. We further observe comparable detection rates for exon-exon junction peptides representing constitutive and alternative splicing events. Our dataset represents a resource for proteoform discovery and provides direct evidence that most frame-preserving alternatively spliced isoforms are translated.

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Language(s): eng - English
 Dates: 2023-03-23
 Publication Status: Published online
 Pages: 17
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Degree: -

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Title: Nature Biotechnology
  Abbreviation : Nat. Biotechnol.
Source Genre: Journal
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Publ. Info: New York : Gale Group Inc.
Pages: - Volume / Issue: - Sequence Number: s41587-023-01714-x Start / End Page: - Identifier: ISSN: 1087-0156
CoNE: https://pure.mpg.de/cone/journals/resource/954926980065