Algorithm for processing raw mass spectrometric data to identify and quantitate complex lipid molecular species in mixtures by data-dependent scanning and fragment ion database searching.
We developed the Lipid Qualitative/Quantitative Analysis (LipidQA) software platform to identify and quantitate complex lipid molecular species in biological mixtures. LipidQA can process raw electronic data files from the TSQ-7000 triple stage quadrupole and LTQ linear ion trap mass spectrometers from Thermo-Finnigan and the Q-TOF hybrid quadrupole/time-of-flight instrument from Waters-Micromass and could readily be modified to accommodate data from others. The program processes multiple spectra in a few seconds and includes a deisotoping algorithm that increases the accuracy of structural identification and quantitation. Identification is achieved by comparing MS(2) spectra obtained in a data-dependent manner to a library of reference spectra of complex lipids that we have acquired or constructed from established fragmentation rules. The current form of the algorithm can process data acquired in negative or positive ion mode for glycerophospholipid species of all major head-group classes.
Song
Haowei
H
Department of Internal Medicine, Washington University School of Medicine, St. Louis, Missouri 63110, USA.
Hsu
Fong-Fu
FF
Ladenson
Jack
J
Turk
John
J
D000465:Algorithms; D045424:Complex Mixtures / Q000737:chemistry*; D003628:Database Management Systems; D016208:Databases, Factual; D016247:Information Storage and Retrieval / Q000379:methods*; D008055:Lipids / Q000737:chemistry*; D012984:Software; D021241:Spectrometry, Mass, Electrospray Ionization / Q000379:methods*
D045424:Complex Mixtures; D008055:Lipids