Abstract
Comparative LC-MS is a powerful method for detailed quantitative comparison of complex protein mixtures. Dedicated software is required for detection, matching, and alignment of peaks in multiple LC-MS datasets. However, retention time shifts, saturation effects, limitations of experimental accuracy, and possible occurrence of split peaks make it difficult for software to perfectly match all chromatograms. We describe a procedure to assess the above problems and show that dataset quality can be enhanced with the aid of cluster analysis.
Original language | English |
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Pages (from-to) | 32-36 |
Journal | Proteomics |
Volume | 8 |
Issue number | 1 |
DOIs | |
Publication status | Published - 2008 |
Keywords
- identification
- proteins