The DOI matches its Crossref record; 161 of the 161 references it cites were found in a registry or an index.
Quantitative, High-Resolution Proteomics for Data-Driven Systems Biology
Open accessAbstract
Systems biology requires comprehensive data at all molecular levels. Mass spectrometry (MS)-based proteomics has emerged as a powerful and universal method for the global measurement of proteins. In the most widespread format, it uses liquid chromatography (LC) coupled to high-resolution tandem mass spectrometry (MS/MS) to identify and quantify peptides at a large scale. This peptide intensity information is the basic quantitative proteomic data type. It is used to quantify proteins between different proteome states, including the temporal variation of the proteome, to determine the complete primary structure of proteins including posttranslational modifications, to localize proteins to organelles, and to determine protein interactions. Here, we describe the principles of analysis and the areas of biology where proteomics can make unique contributions. The large-scale nature of proteomics data and its high accuracy pose special opportunities as well as challenges in systems biology that have been largely untapped so far.
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“Mass-spectrometry remains the only method of profiling the neuroproteome with a throughput and resolving power comparable to other functional genomic methods25.”
From Decoding neuroproteomics: integrating the genome, translatome and functional anatomy (2014) · cites this paper as [25]
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Metadata
- Authors
- Cox, J., & Mann, M.
- Affiliations
- Max Planck Institute of Biochemistry (DE)
- University of Copenhagen (DK)
- Venue
- Annual Review of Biochemistry
- Publisher
- Annual Reviews
- Published
- 2011-07-07
- Volume
- 80
- Issue
- 1
- Pages
- 273-299
- ISSN
- 0066-4154 (ISSN-L)
- 1545-4509
- OpenAlex
- W2106074866
- Cited by
- 685
- References
- 161
- Citations by year
- 2026: 18 · 2025: 29 · 2024: 15 · 2023: 37 · 2022: 23 · 2021: 37 · 2020: 36 · 2019: 39 · 2018: 29 · 2017: 48 · 2016: 47 · 2015: 68 · 2014: 69 · 2013: 83 · 2012: 85
- FWCI
- 6.97
- Type
- journal article
- Language
- en
- Open access
- green
- zenodo.org
- Licence
- other-oa
- Locations
- Annual Review of Biochemistry (publishedVersion)
- PubMed (publishedVersion)
- Max Planck Institute for Plasma Physics (submittedVersion)
- Research at the University of Copenhagen (University of Copenhagen) (submittedVersion)
- Zenodo (CERN European Organization for Nuclear Research) (submittedVersion, other-oa)
- Funders
- European Commission
- Topics
- Physical Sciences › Chemistry › Spectroscopy › Advanced Proteomics Techniques and Applications
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Bioinformatics and Genomic Networks
- Physical Sciences › Chemistry › Spectroscopy › Mass Spectrometry Techniques and Applications
- Keywords
- quantitative proteomics, high-resolution mass spectrometry, systems biology, peptide identification, protein quantification, post-translational modification, proteome dynamics, protein localization, protein-protein interaction, proteomics data analysis
- MeSH terms
- Chromatography, Liquid, Humans, Peptides, Protein Processing, Post-Translational, Proteins, Proteome, Proteomics, Systems Biology, Tandem Mass Spectrometry
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