This article presents the strategies underlying the automated identification and 
quantification of individual lipid molecular species through array analysis of 
multidimensional mass spectrometry-based shotgun lipidomics (MDMS-SL) data, 
which are acquired directly from lipid extracts after direct infusion and 
intrasource separation. The automated analyses of individual lipid molecular 
species in the program employ a strategy in which MDMS-SL data from building 
block analyses using precursor ion scans, neutral loss scans, or both are used 
to identify individual molecular species, followed by quantitation. Through this 
strategy, the program screens and identifies species in a high-throughput 
fashion from a built-in database of over 36,000 potential lipid molecular 
species constructed employing known building blocks. The program then uses a 
two-step procedure for quantitation of the identified species possessing a 
linear dynamic range over 3 orders of magnitude and reverifies the results when 
necessary through redundant quantification of multidimensional mass spectra. 
This program is designed to be easily adaptable for other shotgun lipidomics 
approaches that are currently used for mass spectrometric analysis of lipids. 
Accordingly, the development of this program should greatly accelerate 
high-throughput analysis of lipids using MDMS-based shotgun lipidomics.