The DOI matches its Crossref record; 48 of the 48 references it cites were found in a registry or an index.
The One Hour Yeast Proteome
Open accessAbstract
We describe the comprehensive analysis of the yeast proteome in just over one hour of optimized analysis. We achieve this expedited proteome characterization with improved sample preparation, chromatographic separations, and by using a new Orbitrap hybrid mass spectrometer equipped with a mass filter, a collision cell, a high-field Orbitrap analyzer, and, finally, a dual cell linear ion trap analyzer (Q-OT-qIT, Orbitrap Fusion). This system offers high MS(2) acquisition speed of 20 Hz and detects up to 19 peptide sequences within a single second of operation. Over a 1.3 h chromatographic method, the Q-OT-qIT hybrid collected an average of 13,447 MS(1) and 80,460 MS(2) scans (per run) to produce 43,400 (x) peptide spectral matches and 34,255 (x) peptides with unique amino acid sequences (1% false discovery rate (FDR)). On average, each one hour analysis achieved detection of 3,977 proteins (1% FDR). We conclude that further improvements in mass spectrometer scan rate could render comprehensive analysis of the human proteome within a few hours.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“Currently, benchtop Orbitrap mass spectrometers are the most common instrument for proteomics as they bypass the need for cryogenic cooling (which is needed for the magnets of FTICR instruments) while still offering high-resolution and faster acquisition speeds [98,99].”
From Top-down proteomics: challenges, innovations, and applications in basic and clinical research (2020) · cites this paper as [99]
In the citing paper
“intact protein MS cannot match the analysis throughput typically obtainable through BUP (i.e., thousands of protein families identified in a single experiment).15”
From Proton Transfer Charge Reduction Enables High-Throughput Top-Down Analysis of Large Proteoforms (2019) · cites this paper as [15]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Quantitative Monitoring of Gene Expression Patterns with a Complementary DNA Microarray
Schena, M., Shalon, D., Davis, R. W., & Brown, P. O. (1995) · Science · doi:10.1126/science.270.5235.467 · Cited by 9,609 · cited 1×
“Owing to cost, speed, and accessibility, transcriptomic analysis is often used as a proteomic proxy (3, 4).”
MethodUniversal sample preparation method for proteome analysis
Wiśniewski, J. R., Zougman, A., Nagaraj, N., & Mann, M. (2009) · Nature Methods · doi:10.1038/nmeth.1322 · Cited by 8,352
Eng, J. K., McCormack, A. L., & Yates, J. R. (1994) · Journal of the American Society for Mass Spectrometry · doi:10.1016/1044-0305(94)80016-2 · Cited by 6,484
Exploring the metabolic and genetic control of gene expression on a genomic scale.
Derisi, J., Iyer, V., & Brown, P. (1997) · Science · doi:10.1126/science.278.5338.680 · Cited by 4,832
Large-scale analysis of the yeast proteome by multidimensional protein identification technology
Washburn, M. P., Wolters, D. A., & Yates, J. R. (2001) · Nature Biotechnology · doi:10.1038/85686 · Cited by 4,768
Correlation between Protein and mRNA Abundance in Yeast
Gygi, S. P., Rochon, Y., Franza, B. R., & Aebersold, R. (1999) · Molecular and Cellular Biology · doi:10.1128/mcb.19.3.1720 · Cited by 3,819
Global analysis of protein expression in yeast
Ghaemmaghami, S., Huh, W.-K., Bower, K., Howson, R. W., Belle, A., Dephoure, N., O'Shea, E. K., & Weissman, J. S. (2003) · Nature · doi:10.1038/nature02046 · Cited by 3,750
Direct analysis of protein complexes using mass spectrometry
Link, A. J., Eng, J. K., Schieltz, D. M., Carmack, E., Mize, G. J., Morris, D. R., Garvik, B. M., & Yates, J. R. (1999) · Nature Biotechnology · doi:10.1038/10890 · Cited by 2,218
Saccharomyces Genome Database: the genomics resource of budding yeast
Cherry, J., Hong, E., Amundsen, C., Balakrishnan, R., Binkley, G., Chan, E. T., Christie, K., Costanzo, M., Dwight, S., Engel, S., et al. (2011) · Nucleic Acids Res. · doi:10.1093/nar/gkr1029 · Cited by 1,886 · cited 1×
“Historically yeast, with its 6600 open reading frames, has been the preferred proteomic technology test-bed (8).”
BackgroundPeng, J., Elias, J. E., Thoreen, C. C., Licklider, L., & Gygi, S. P. (2002) · Journal of Proteome Research · doi:10.1021/pr025556v · Cited by 1,652
Cited by
Sorted by citations
The Perseus computational platform for comprehensive analysis of (prote)omics data
Tyanova, S., Temu, T., Sinitcyn, P., Carlson, A., Hein, M. Y., Geiger, T., Mann, M., & Cox, J. (2016) · Nature Methods · doi:10.1038/nmeth.3901 · Cited by 8,803
Mass-spectrometric exploration of proteome structure and function
Aebersold, R., & Mann, M. (2016) · Nature · doi:10.1038/nature19949 · Cited by 2,334
Ultrasensitive proteome analysis using paramagnetic bead technology
Hughes, C. S., Föehr, S., Garfield, D. A., Furlong, E. E. M., Steinmetz, L. M., & Krijgsveld, J. (2014) · Molecular Systems Biology · doi:10.15252/msb.20145625 · Cited by 1,226
Collins, B. C., Hunter, C. L., Liu, Y., Schilling, B., Rosenberger, G., Bader, S. L., Chan, D. W., Gibson, B. W., Gingras, A.-C., Held, J. M., et al. (2017) · Nature Communications · doi:10.1038/s41467-017-00249-5 · Cited by 576
Protein Phosphorylation: A Major Switch Mechanism for Metabolic Regulation
Humphrey, S. J., James, D. E., & Mann, M. (2015) · Trends in Endocrinology and Metabolism · doi:10.1016/j.tem.2015.09.013 · Cited by 574
Metadata
- Authors
- Hebert, A. S., Richards, A. L., Bailey, D. J., Ulbrich, A., Coughlin, E. E., Westphall, M. S., & Coon, J. J.
- Affiliations
- University of Wisconsin–Madison (US)
- Corresponding author
- Coon, Joshua J.
- Venue
- Molecular & Cellular Proteomics
- Publisher
- Elsevier BV
- Published
- 2014-01
- Volume
- 13
- Issue
- 1
- Pages
- 339-347
- ISSN
- 1535-9476 (ISSN-L)
- PMC
- PMC3879625
- OpenAlex
- W1991502938
- Cited by
- 528
- References
- 48
- Citations by year
- 2026: 9 · 2025: 13 · 2024: 18 · 2023: 26 · 2022: 23 · 2021: 47 · 2020: 40 · 2019: 49 · 2018: 44 · 2017: 55 · 2016: 77 · 2015: 60 · 2014: 64
- FWCI
- 30.34
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Molecular & Cellular Proteomics (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Human Genome Research Institute (T32HG002760)
- National Institute of General Medical Sciences (R01GM080148)
- Topics
- Physical Sciences › Chemistry › Spectroscopy › Advanced Proteomics Techniques and Applications
- Physical Sciences › Chemistry › Spectroscopy › Mass Spectrometry Techniques and Applications
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Metabolomics and Mass Spectrometry Studies
- Keywords
- yeast proteome, peptide identification, sample preparation optimization, chromatographic separation, human proteome
- MeSH terms
- Amino Acid Sequence, Humans, Molecular Weight, Peptides, Saccharomyces cerevisiae, Proteome, Tandem Mass Spectrometry
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
