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Quality vs Quantity in Mass Spectrometric Analysis of Complex Mixtures
Author(s) -
Chalkley Robert,
Maltby David,
Medzihradszky Katalin,
Guan Shenheng,
Baker Peter,
Burlingame A L
Publication year - 2006
Publication title -
the faseb journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.709
H-Index - 277
eISSN - 1530-6860
pISSN - 0892-6638
DOI - 10.1096/fasebj.20.5.a926-a
Subject(s) - orbitrap , computer science , fragmentation (computing) , tandem mass spectrometry , data quality , quality (philosophy) , mass spectrometry , data acquisition , data mining , chemistry , chromatography , physics , quantum mechanics , metric (unit) , operations management , economics , operating system
For the analysis of complex protein mixtures by tandem mass spectrometry there are several instrument and acquisition strategies available. When choosing an analytical approach there is generally a trade‐off between the quality of the data (signal intensity, mass accuracy and resolution) versus quantity of data (number of precursor ions fragmented). In this poster we compare several different strategies for analysis of the same mixtures. Data acquired on a QSTAR instrument is contrasted with LTQ‐FT and LTQ‐Orbitrap data. On these instruments different acquisition approaches are evaluated that involve compensating data quality for amount of fragmentation data acquired. The results are compared in terms of their ability to reliably and extensively characterize complex mixtures, including post‐translational modifications, and hopefully give an insight into the most appropriate approaches for samples at differing levels of complexity. This work is supported by NIH NCRR grants RR01614 and RR019934.