The DOI matches its Crossref record; 101 of the 101 references it cites were found in a registry or an index.
‘Top down’ protein characterization via tandem mass spectrometry
Abstract
Technological and scientific advances over the past decade have enabled protein identification and characterization strategies to be developed that are based on subjecting intact protein ions and large protein fragments directly to tandem mass spectrometry. These approaches are referred to collectively as ‘top down’ to contrast them with ‘bottom up’ approaches whereby protein identification is based on mass spectrometric analysis of peptides derived from proteolytic digestion, usually with trypsin. A key step in enabling top down approaches has been the ability to assign tandem mass spectrometer product ion identities, which can be done either via high resolving power or through product ion charge state manipulation. The ability to determine product ion charge states has permitted studies of the reactions, including dissociation, ion–molecule reactions, ion–electron reactions and ion–ion reactions of high‐mass, multiply charged protein ions. Electrospray ionization combined with high magnetic field strength Fourier transform ion cyclotron resonance has proven to be particularly powerful for detailed protein characterization owing to its high mass resolution and mass accuracy and its ability to effect electron capture‐induced dissociation. Other types of tandem mass spectrometers are also beginning to find increasing use in top down protein identification/characterization studies. Charge state manipulation via ion–ion reactions in electrodynamic ion traps, for example, enables top down strategies to be considered using instruments with relatively modest mass resolution capabilities. Precursor ion charge state manipulation techniques have also recently been demonstrated to be capable of concentrating and charge‐state purifying proteins in the gas phase. Advances in technologies applied to the structural analysis of whole protein ions and in understanding their reactions, such as those described here, are providing new options for the study of complex protein mixtures. Copyright © 2002 John Wiley & Sons, Ltd.
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Cites
Electrospray Ionization for Mass Spectrometry of Large Biomolecules
Fenn, J. B., Mann, M., Meng, C. K., Wong, S. F., & Whitehouse, C. M. (1989) · Science · doi:10.1126/science.2675315 · Cited by 7,634
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
Laser desorption ionization of proteins with molecular masses exceeding 10,000 daltons
Karas, M., & Hillenkamp, F. (1988) · Analytical Chemistry · doi:10.1021/ac00171a028 · Cited by 5,637
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
Proteomics to study genes and genomes
Pandey, A., & Mann, M. (2000) · Nature · doi:10.1038/35015709 · Cited by 2,373
Electron Capture Dissociation of Multiply Charged Protein Cations. A Nonergodic Process
Zubarev, R. A., Kelleher, N. L., & McLafferty, F. W. (1998) · Journal of the American Chemical Society · doi:10.1021/ja973478k · Cited by 1,881
An Automated Multidimensional Protein Identification Technology for Shotgun Proteomics
Wolters, D. A., Washburn, M. P., & Yates, J. R. (2001) · Analytical Chemistry · doi:10.1021/ac010617e · Cited by 1,819
Rapid identification of proteins by peptide-mass fingerprinting
Pappin, D. J. C., Hojrup, P., & Bleasby, A. J. (1993) · Current Biology · doi:10.1016/0960-9822(93)90195-t · Cited by 1,615
Error-Tolerant Identification of Peptides in Sequence Databases by Peptide Sequence Tags
Mann, M., & Wilm, M. (1994) · Analytical Chemistry · doi:10.1021/ac00096a002 · Cited by 1,468
Evaluation of two-dimensional gel electrophoresis-based proteome analysis technology
Gygi, S. P., Corthals, G. L., Zhang, Y., Rochon, Y., & Aebersold, R. (2000) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.160270797 · Cited by 1,319
Cited by
Peptide and protein sequence analysis by electron transfer dissociation mass spectrometry
Syka, J. E. P., Coon, J. J., Schroeder, M. J., Shabanowitz, J., & Hunt, D. F. (2004) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0402700101 · Cited by 2,370
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
Interpretation of Shotgun Proteomic Data
Nesvizhskii, A. I., & Aebersold, R. (2005) · Molecular & Cellular Proteomics · doi:10.1074/mcp.r500012-mcp200 · Cited by 1,025
Decoding protein modifications using top-down mass spectrometry
Siuti, N., & Kelleher, N. L. (2007) · Nature Methods · doi:10.1038/nmeth1097 · Cited by 503
Best practices and benchmarks for intact protein analysis for top-down mass spectrometry
Donnelly, D. P., Rawlins, C. M., DeHart, C. J., Fornelli, L., Schachner, L. F., Lin, Z., Lippens, J. L., Aluri, K. C., Sarin, R., Chen, B., et al. (2019) · Nature Methods · doi:10.1038/s41592-019-0457-0 · Cited by 377
Metadata
- Authors
- Reid, G. E., & McLuckey, S. A.
- Venue
- Journal of Mass Spectrometry
- Publisher
- Wiley
- Published
- 2002-07
- Volume
- 37
- Issue
- 7
- Pages
- 663-675
- ISSN
- 1076-5174 (ISSN-L)
- 1096-9888
- OpenAlex
- W2153180430
- Cited by
- 285
- References
- 101
- FWCI
- 9.42
- Type
- journal article
- Language
- en
- Open access
- closed
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