| Literature DB >> 19256536 |
Michael R Hoopmann1, Gennifer E Merrihew, Priska D von Haller, Michael J MacCoss.
Abstract
The identification of peptides by microcapillary liquid chromatography-tandem mass spectrometry (microLC-MS/MS) has become routine because of the development of fast scanning mass spectrometers, data-dependent acquisition, and database searching algorithms. However, many peptides within the detection limit of the mass spectrometer remain unidentified because of limitations in MS/MS sampling speed despite the dynamic range and peak capacity of the instrument. We have developed an automated approach that uses the mass spectra from high resolution microLC-MS data to define the molecular species present in the mixture and directs the acquisition of MS/MS spectra to precursors that were missed in prior analyses. This approach increases the coverage of the molecular species sampled by MS/MS and consequently the number of peptides and proteins identified during the acquisition of technical or biological replicates using a simple one-dimensional chromatographic separation. The combination of a unique workflow and custom software contribute to the improved identification of molecular features detected in proteomics experiments of complex protein mixtures.Entities:
Mesh:
Year: 2009 PMID: 19256536 PMCID: PMC2671646 DOI: 10.1021/pr800828p
Source DB: PubMed Journal: J Proteome Res ISSN: 1535-3893 Impact factor: 4.466