The DOI matches its Crossref record; 14 of the 14 references it cites were found in a registry or an index.
Current trends in quantitative proteomics
Open accessAbstract
It was inevitable that as soon as mass spectrometrists were able to tell biologists which proteins were in their samples, the next question would be how much of these proteins were present. This has turned out to be a much more challenging question. In this review, we describe the multiple ways that mass spectrometry has attempted to address this issue, both for relative quantitation and for absolute quantitation of proteins. There is no single method that will work for every problem or for every sample. What we present here is a variety of techniques, with guidelines that we hope will assist the researcher in selecting the most appropriate technique for the particular biological problem that needs to be addressed. We need to emphasize that this is a very active area of proteomics research—new quantitative methods are continuously being introduced and some ‘pitfalls’ of older methods are just being discovered. However, even though there is no perfect technique—and a better technique may be developed tomorrow—valuable information on biomarkers and pathways can be obtained using these currently available methods Copyright © 2009 John Wiley & Sons, Ltd.
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.
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
Ong, S.-E., Blagoev, B., Kratchmarova, I., Kristensen, D. B., Steen, H., Pandey, A., & Mann, M. (2002) · Molecular & Cellular Proteomics · doi:10.1074/mcp.m200025-mcp200 · Cited by 5,574
Quantitative analysis of complex protein mixtures using isotope-coded affinity tags
Gygi, S. P., Rist, B., Gerber, S. A., Turecek, F., Gelb, M. H., & Aebersold, R. (1999) · Nature Biotechnology · doi:10.1038/13690 · Cited by 4,683
Anderson, N. L., & Anderson, N. G. (2002) · Molecular & Cellular Proteomics · doi:10.1074/mcp.r200007-mcp200 · Cited by 4,414
Ross, P. L., Huang, Y. N., Marchese, J. N., Williamson, B., Parker, K., Hattan, S., Khainovski, N., Pillai, S., Dey, S., Daniels, S., et al. (2004) · Molecular & Cellular Proteomics · doi:10.1074/mcp.m400129-mcp200 · Cited by 4,401
Absolute quantification of proteins and phosphoproteins from cell lysates by tandem MS
Gerber, S. A., Rush, J., Stemman, O., Kirschner, M. W., & Gygi, S. P. (2003) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0832254100 · Cited by 1,733
Mass spectrometry–based proteomics turns quantitative
Ong, S.-E., & Mann, M. (2005) · Nature Chemical Biology · doi:10.1038/nchembio736 · Cited by 1,572 · cited 5×
“to grow in the dialyzed serum required for SILAC due to the loss of essential growth factors.[1] The isotope distributions resulting from the combination of 13C and 15N can be difficult to interpret.”
BackgroundMethodInfluentialAbsolute Quantification of Proteins by LCMSE
Silva, J. C., Gorenstein, M. V., Li, G.-Z., Vissers, J. P. C., & Geromanos, S. J. (2006) · Molecular & Cellular Proteomics · doi:10.1074/mcp.m500230-mcp200 · Cited by 1,529
Lu, P., Vogel, C., Wang, R., Yao, X., & Marcotte, E. M. (2007) · Nature Biotechnology · doi:10.1038/nbt1270 · Cited by 1,139
Addona, T. A., Abbatiello, S. E., Schilling, B., Skates, S. J., Mani, D. R., Bunk, D. M., Spiegelman, C. H., Zimmerman, L. J., Ham, A.-J. L., Keshishian, H., et al. (2009) · Nature Biotechnology · doi:10.1038/nbt.1546 · Cited by 1,037
Self-citationKrüger, M., Moser, M., Ussar, S., Thievessen, I., Luber, C. A., Forner, F., Schmidt, S., Zanivan, S., Fässler, R., & Mann, M. (2008) · Cell · doi:10.1016/j.cell.2008.05.033 · Cited by 680
Cited by
Bioanalytical Chemistry of Cytokines–a Review
Stenken, J. A., & Poschenrieder, A. J. (2015) · Analytica Chimica Acta · doi:10.1016/j.aca.2014.10.009 · Cited by 302
Agger, S. A., Marney, L. C., & Hoofnagle, A. N. (2010) · Clinical Chemistry · doi:10.1373/clinchem.2010.152264 · Cited by 143
CE‐MS‐based proteomics in biomarker discovery and clinical application
Pontillo, C., Filip, S., Borràs, D. M., Mullen, W., Vlahou, A., & Mischak, H. (2015) · PROTEOMICS – Clinical Applications · doi:10.1002/prca.201400115 · Cited by 77
A practical data processing workflow for multi-OMICS projects
Kohl, M., Megger, D. A., Trippler, M., Meckel, H., Ahrens, M., Bracht, T., Weber, F., Hoffmann, A.-C., Baba, H. A., Sitek, B., et al. (2014) · Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics · doi:10.1016/j.bbapap.2013.02.029 · Cited by 60
“) strategies (for review see [56–58]).”
Capillary electrophoresis with Orbitrap-Velos mass spectrometry detection
Wojcik, R., Li, Y., MacCoss, M. J., & Dovichi, N. J. (2012) · Talanta · doi:10.1016/j.talanta.2011.10.048 · Cited by 43
Metadata
- Authors
- Elliott, M. H., Smith, D. S., Parker, C. E., & Borchers, C.
- Venue
- Journal of Mass Spectrometry
- Publisher
- Wiley
- Published
- 2009-12
- Volume
- 44
- Issue
- 12
- Pages
- 1637-1660
- ISSN
- 1076-5174 (ISSN-L)
- 1096-9888
- OpenAlex
- W2022794640
- Cited by
- 271
- References
- 14
- FWCI
- 15.28
- Type
- journal article
- Language
- en
- Open access
- bronze
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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Current trends in quantitative proteomics. https://app.cochat.ai/papers/10.1002/jms.1692
- The paper
- Elliott, M. H., Smith, D. S., Parker, C. E., & Borchers, C. (2009). Current trends in quantitative proteomics. Journal of Mass Spectrometry. https://doi.org/10.1002/jms.1692
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.