2000
DOI: 10.1002/1522-2683(20000601)21:11<2105::aid-elps2105>3.0.co;2-m
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Mass spectrometry: A tool for the identification of proteins separated by gels

Abstract: Mass spectrometry (MS) has become the technique of choice to identify proteins. This has been largely accomplished by the combination of high-resolution two-dimensional (2-D) gel separation with robotic sample preparation, automated MS measurement, data analysis, and database query. Developments during the last five years in MS associated with protein gel separation are reviewed.

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Cited by 237 publications
(134 citation statements)
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“…M atrix assisted laser ionization/desorption mass spectrometry (MALDI-MS) is one of the most powerful tools for analysis of large biomolecules, such as peptides, proteins, and nucleic acids [1][2][3][4][5][6][7]. Typical sample preparation involves mixing the analyte with organic UV-absorbing matrices.…”
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confidence: 99%
“…M atrix assisted laser ionization/desorption mass spectrometry (MALDI-MS) is one of the most powerful tools for analysis of large biomolecules, such as peptides, proteins, and nucleic acids [1][2][3][4][5][6][7]. Typical sample preparation involves mixing the analyte with organic UV-absorbing matrices.…”
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confidence: 99%
“…Especially in the field of proteomics, these methods have proven to be very powerful both for the identification of known proteins and for the sequencing of unknown proteins and peptides. The metastable decay of preselected parent ions in MALDI has also proven to be very useful in proteomics [1][2][3], and is today a key technique in sequence analysis in proteomics. However, at the same time, the performance of these methods has not met expectations when it comes to the analyses of DNA segments.…”
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confidence: 99%
“…MALDI-MS peptide mass fingerprinting of isolated proteins with peptides derived from endoproteolytic digests has been widely established as the technique of choice for high throughput protein identification [1][2][3]. After annotation and calibration of mass spectrometric data, the observed peptide masses are compared with molecular weights derived from an in-silico digest of a sequence database.…”
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confidence: 99%