The chromosome-centric human proteome project for cataloging proteins encoded in the genome
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The human proteome project reports that an estimated ~20% of genes yield protein products that are not detected by mass spectrometry.
“For example, the human proteome project reports that an estimated ~20% of genes yield protein products that are not detected by mass spectrometry, an analytic platform for protein quantification (Paik et al., 2012; Baker et al., 2017).”
From Missing data in multi-omics integration: Recent advances through artificial intelligence (2023) · cites this paper as Paik et al., 2012
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References 9 · Cited by 288
- Authors
- Paik, Y.-K., Jeong, S.-K., Omenn, G. S., Uhlen, M., Hanash, S., Cho, S. Y., Lee, H.-J., Na, K., Choi, E.-Y., Yan, F., Zhang, F., Zhang, Y., Snyder, M., Cheng, Y., Chen, R., Marko-Varga, G., Deutsch, E. W., Kim, H., Kwon, J.-Y., Aebersold, R., Bairoch, A., Taylor, A. D., Kim, K. Y., Lee, E.-Y., Hochstrasser, D., Legrain, P., & Hancock, W. S.
- Affiliations
- Yonsei University (KR)
- University of Michigan (US)
- Fred Hutch Cancer Center (US)
- Northeastern University (US)
- Stanford University (US)
- Institute for Systems Biology (US)
- University of Zurich (CH)
- University of Geneva (CH)
- KTH Royal Institute of Technology (SE)
- École Polytechnique (FR)
- Corresponding author
- Paik, Young-Ki
- Hancock, William S.
- ORCID
- Venue
- Nature Biotechnology
- Published
- 2012-03
- Volume
- 30
- Issue
- 3
- Pages
- 221-223
- ISSN
- 0733-222X (ISSN-L)
- 1087-0156
- 1546-1696
- OpenAlex
- W2080993908
- Cited by
- 288
- References
- 9
- Citations by year
- 2025: 3 · 2024: 5 · 2023: 6 · 2022: 7 · 2021: 8 · 2020: 12 · 2019: 18 · 2018: 21 · 2017: 24 · 2016: 24 · 2015: 45 · 2014: 33 · 2013: 46 · 2012: 34
- FWCI
- 22.48
- Type
- journal article
- Language
- en
- Open access
- Licence
- Locations
- Nature Biotechnology (publishedVersion)
- PubMed (publishedVersion)
- Archive ouverte UNIGE (University of Geneva) (submittedVersion, cc-by)
- Lund University Publications (Lund University) (submittedVersion)
- Funders
- National Cancer Institute (U01CA084982)
- Topics
- Physical Sciences › Chemistry › Spectroscopy › Advanced Proteomics Techniques and Applications
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Bioinformatics and Genomic Networks
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Advanced Biosensing Techniques and Applications
- Keywords
- Human Proteome Project, human proteome, proteomics
- MeSH terms
- Chromosomes, Chromosomes, Human, Pair 13, Chromosomes, Human, Pair 17, Humans, Genome, Human, Proteome, Gene Silencing, Proteomics, Transcriptome
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