The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.
Absolute SILAC for Accurate Quantitation of Proteins in Complex Mixtures Down to the Attomole Level
Abstract
Mass spectrometry based proteomics can routinely identify hundreds of proteins in a single LC-MS run, and methods have been developed for relative quantitation between differentially treated samples using stable isotopes. However, absolute quantitation has so far required addition of a labeled standard late in the experimental workflow, introducing variability due to sample preparation. Here we present a new variant of the stable isotope labeling by amino acids in cell culture (SILAC) technique termed "Absolute SILAC" that allows accurate quantitation of selected proteins in complex mixtures. SILAC-labeled recombinant proteins produced in vivo or in vitro are used as internal standards, which are directly mixed into lysates of cells or tissues. This minimizes differences in sample processing between the isotope-labeled standard and its endogenous counterpart. We show that it is possible to quantify over several orders of magnitude, even in the background of a whole cell lysate. We furthermore devise a strategy to quantify peptides at or below their signal-to-noise level on hybrid ion trap instruments, shown here for the LTQ-Orbitrap. The data system triggers on peptides of the SILAC-labeled protein, initiating ion collection in a narrow mass range including the endogenous and labeled peptide. This strategy extends the regular detection limit of an LTQ-Orbitrap by at least an order of magnitude and accurately quantifies down to 150 attomole of protein in a cell lysate without any fractionation prior to LC-MS. We use Absolute SILAC to determine the copy number per cell of growth factor receptor-bound protein 2 (Grb2) in HeLa, HepG2, and C2C12 cells to 5.5 x 10(5), 8.8 x 10(5), and 5.7 x 10(5), respectively, in the exponential growth phase.
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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
Self-citationQuantitative 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
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
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
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
Self-citationFunctional and quantitative proteomics using SILAC
Mann, M. (2006) · Nature Reviews Molecular Cell Biology · doi:10.1038/nrm2067 · Cited by 931
Self-citationBarr, J. R., Maggio, V. L., Patterson, D. G., Cooper, G. R., Henderson, L. O., Turner, W. E., Smith, S. J., Hannon, W. H., Needham, L. L., & Sampson, E. J. (1996) · Clinical Chemistry · doi:10.1093/clinchem/42.10.1676 · Cited by 347
Cited by
Protein Analysis by Shotgun/Bottom-up Proteomics
Zhang, Y., Fonslow, B. R., Shan, B., Baek, M.-C., & Yates, J. R. (2013) · Chemical Reviews · doi:10.1021/cr3003533 · Cited by 1,491
Proteomics by Mass Spectrometry: Approaches, Advances, and Applications
Yates, J. R., Ruse, C. I., & Nakorchevsky, A. (2009) · Annual Review of Biomedical Engineering · doi:10.1146/annurev-bioeng-061008-124934 · Cited by 1,078
Quantitative mass spectrometry in proteomics: critical review update from 2007 to the present
Bantscheff, M., Lemeer, S., Savitski, M. M., & Kuster, B. (2012) · Analytical and Bioanalytical Chemistry · doi:10.1007/s00216-012-6203-4 · Cited by 801
Quantitative, High-Resolution Proteomics for Data-Driven Systems Biology
Cox, J., & Mann, M. (2011) · Annual Review of Biochemistry · doi:10.1146/annurev-biochem-061308-093216 · Cited by 685
Self-citationPrimate Transcript and Protein Expression Levels Evolve Under Compensatory Selection Pressures
Khan, Z., Ford, M. J., Cusanovich, D. A., Mitrano, A., Pritchard, J. K., & Gilad, Y. (2013) · Science · doi:10.1126/science.1242379 · Cited by 240
Metadata
- Authors
- Hanke, S., Besir, H., Oesterhelt, D., & Mann, M.
- Venue
- Journal of Proteome Research
- Publisher
- American Chemical Society (ACS)
- Published
- 2008-02-14
- Volume
- 7
- Issue
- 3
- Pages
- 1118-1130
- ISSN
- 1535-3893 (ISSN-L)
- 1535-3907
- OpenAlex
- W1980240275
- Cited by
- 216
- References
- 8
- FWCI
- 8.97
- Type
- journal article
- Language
- en
- Open access
- closed
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- Hanke, S., Besir, H., Oesterhelt, D., & Mann, M. (2008). Absolute SILAC for Accurate Quantitation of Proteins in Complex Mixtures Down to the Attomole Level. Journal of Proteome Research. https://doi.org/10.1021/pr7007175
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