The DOI matches its Crossref record; 19 of the 19 references it cites were found in a registry or an index.
High throughput protein characterization by automated reverse‐phase chromatography/electrospray tandem mass spectrometry
Open accessAbstract
We describe an integrated workstation for the automated, high‐throughput, and conclusive identification of proteins by reverse‐phase chromatography electrospray ionization tandem mass spectrometry. The instrumentation consists of a refrigerated autosampler, a submicrobore reverse‐phase liquid chromatograph, and an electrospray triple quadrupole mass spectrometer. For protein identification, enzymatic digests of either homogeneous polypeptides or simple protein mixtures were generated and loaded into the autosampler. Samples were sequentially injected every 32 min. Ions of eluting peptides were automatically selected by the mass spectrometer and subjected to collision‐induced dissociation. Following each run, the resulting tandem mass spectra were automatically analyzed by SEQUEST, a program that correlates uninterpreted peptide fragmentation patterns with amino acid sequences contained in databases. Protein identification was established by SEQUEST_SUMMARY a program that combines the SEQUEST scores of peptides originating from the same protein and ranks the cumulative results in a short summary. The workstation's performance was demonstrated by the unattended identification of 90 proteins from the yeast Saccharomyces cerevisiae, which were separated by high‐resolution two‐dimensional PAGE. The system was found to be very robust and identification was reliably and conclusively established for proteins if quantities exceeding 1‐5 pmol were applied to the gel. The level of automation, the throughput, and the reliability of the results suggest that this system will be useful for the many projects that require the characterization of large numbers of proteins.
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Femtomole sequencing of proteins from polyacrylamide gels by nano-electrospray mass spectrometry
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Susin, S. A., Lorenzo, H. K., Zamzami, N., Marzo, I., Snow, B. E., Brothers, G. M., Mangion, J., Jacotot, E., Costantini, P., Loeffler, M., et al. (1999) · Nature · doi:10.1038/17135 · Cited by 4,060
Self-citationCorrelation 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
Self-citationPerspectives for mass spectrometry and functional proteomics
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Kanski, J., Behring, A., Pelling, J., & Schöneich, C. (2005) · American Journal of Physiology-Heart and Circulatory Physiology · doi:10.1152/ajpheart.01030.2003 · Cited by 217
Dai, D.-F., Hsieh, E. J., Liu, Y., Chen, T., Beyer, R. P., Chin, M. T., MacCoss, M. J., & Rabinovitch, P. S. (2012) · Cardiovascular Research · doi:10.1093/cvr/cvr274 · Cited by 178
Metadata
- Authors
- Ducret, A., Oostveen, I. V., Eng, J. K., Yates, J. R., & Aebersold, R.
- Venue
- Protein Science
- Publisher
- Wiley
- Published
- 1998-03
- Volume
- 7
- Issue
- 3
- Pages
- 706-719
- ISSN
- 0961-8368 (ISSN-L)
- 1469-896X
- OpenAlex
- W2002844202
- Cited by
- 310
- References
- 19
- FWCI
- 18.04
- Type
- journal article
- Language
- en
- Open access
- bronze
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