The DOI matches its Crossref record; 45 of the 45 references it cites were found in a registry or an index.
Quantitative proteomic analysis of distinct mammalian Mediator complexes using normalized spectral abundance factors
Abstract
Components of multiprotein complexes are routinely determined by using proteomic approaches. However, this information lacks functional content except when new complex members are identified. To analyze quantitatively the abundance of proteins in human Mediator we used normalized spectral abundance factors generated from shotgun proteomics data sets. With this approach we define a common core of mammalian Mediator subunits shared by alternative forms that variably associate with the kinase module and RNA polymerase (pol) II. Although each version of affinity-purified Mediator contained some kinase module and RNA pol II, Mediator purified through F-Med26 contained the most RNA pol II and the least kinase module as demonstrated by the normalized spectral abundance factor approach. The distinct forms of Mediator were functionally characterized by using a transcriptional activity assay, where F-Med26 Mediator/RNA pol II was the most active. This method of protein complex visualization has important implications for the analysis of multiprotein complexes and assembly of protein interaction networks.
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Dignam, J. D., Lebovitz, R. M., & Roeder, R. G. (1983) · Nucleic Acids Research · doi:10.1093/nar/11.5.1475 · Cited by 11,260
Large-scale analysis of the yeast proteome by multidimensional protein identification technology
Washburn, M. P., Wolters, D., & Yates, J. R. (2001) · Nature Biotechnology · doi:10.1038/85686 · Cited by 4,752
Self-citationA Model for Random Sampling and Estimation of Relative Protein Abundance in Shotgun Proteomics
Liu, H., Sadygov, R. G., & Yates, J. R. (2004) · Analytical Chemistry · doi:10.1021/ac0498563 · Cited by 2,500
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
Tabb, D. L., McDonald, W. H., & Yates, J. R. (2002) · Journal of Proteome Research · doi:10.1021/pr015504q · Cited by 1,367
Comparison of Label-free Methods for Quantifying Human Proteins by Shotgun Proteomics
Old, W. M., Meyer-Arendt, K., Aveline-Wolf, L., Pierce, K. G., Mendoza, A., Sevinsky, J. R., Resing, K. A., & Ahn, N. G. (2005) · Molecular & Cellular Proteomics · doi:10.1074/mcp.m500084-mcp200 · Cited by 1,206
Kim, Y.-J., Björklund, S., Li, Y., Sayre, M. H., & Kornberg, R. D. (1994) · Cell · doi:10.1016/0092-8674(94)90221-6 · Cited by 1,090
Statistical Analysis of Membrane Proteome Expression Changes in Saccharomyces cerevisiae
Zybailov, B., Mosley, A. L., Sardiu, M. E., Coleman, M. K., Florens, L., & Washburn, M. P. (2006) · Journal of Proteome Research · doi:10.1021/pr060161n · Cited by 1,029
Self-citationLigand-dependent transcription activation by nuclear receptors requires the DRIP complex
Rachez, C., Lemon, B. D., Suldan, Z., Bromleigh, V., Gamble, M., Näär, A. M., Erdjument-Bromage, H., Tempst, P., & Freedman, L. P. (1999) · Nature · doi:10.1038/19783 · Cited by 729
Comparative evaluation of mass spectrometry platforms used in large-scale proteomics investigations
Elias, J. E., Haas, W., Faherty, B. K., & Gygi, S. P. (2005) · Nature Methods · doi:10.1038/nmeth785 · Cited by 701
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Blankman, J. L., Simon, G. M., & Cravatt, B. F. (2007) · Chemistry & Biology · doi:10.1016/j.chembiol.2007.11.006 · Cited by 1,177
The Mediator complex: a central integrator of transcription
Allen, B. L., & Taatjes, D. J. (2015) · Nature Reviews Molecular Cell Biology · doi:10.1038/nrm3951 · Cited by 922
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
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Hooper, C. M., Castleden, I. R., Tanz, S. K., Aryamanesh, N., & Millar, A. H. (2017) · Nucleic Acids Research · doi:10.1093/nar/gkw1041 · Cited by 445
Metadata
- Authors
- Paoletti, A. C., Parmely, T. J., Tomomori-Sato, C., Sato, S., Zhu, D., Conaway, R. C., Conaway, J. W., Florens, L., & Washburn, M. P.
- Venue
- Proceedings of the National Academy of Sciences
- Published
- 2006-12-12
- Volume
- 103
- Issue
- 50
- Pages
- 18928-18933
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- OpenAlex
- W2032601646
- Cited by
- 538
- References
- 45
- FWCI
- 7.54
- Type
- journal article
- Language
- en
- Open access
- closed
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