study the biochemical mechanism(s) underpinning lipotoxicity ( 4-9 ).The demand for systematic identifi cation and quantification of global cellular lipids for the aforementioned purpose has greatly facilitated the rapid spread of lipidomics research in recent years (10)(11)(12). Although extensive utilization of bioinformatics and computational algorithms for accurate identifi cation and quantifi cation of individual lipid molecular species and classes ( 13-17 ) is still a key node in lipidomics , the greatest challenge of bioinformatics for lipidomics research currently is the interpretation of alterations in biological functions resulting in adaptive or pathological changes in lipid metabolism and/or homeostasis ( 18 ).One of the most powerful platforms in lipidomics practice is multidimensional mass spectrometry-based shotgun lipidomics (MDMS-SL) ( 15,19 ). At its current stage of development, MDMS-SL enables us to analyze over 30 lipid classes and hundreds to thousands of individual lipid species, collectively representing more than 95% of the total content of a cellular lipidome directly from the lipid extracts of limited biological source materials ( 15,19 ). However, it has remained a challenge to utilize the vast datasets associated with the MDMS-SL platform, e.g., to develop a bioinformatic approach for the interpretation of lipidomic networks of TAG biosynthesis and thus reveal their association with lipotoxicity under pathophysiological conditions. The development of such an approach would signifi cantly advance the practical use of the platform for investigating the association of altered TAG mass with any (patho)physiological changes.Recently, we have successfully developed dynamic simulation approaches for understanding the remodeling Abstract Although the synthesis pathways of intracellular triacylglycerol (TAG) species have been well elucidated, assessment of the contribution of an individual pathway to TAG pools in different mammalian organs, particularly under pathophysiological conditions, is diffi cult, although not impossible. Herein, we developed and validated a novel bioinformatic approach to assess the differential contributions of the known pathways to TAG pools through simulation of TAG ion profi les determined by shotgun lipidomics. This powerful approach was applied to determine such contributions in mouse heart, liver, and skeletal muscle and to examine the changes of these pathways in mouse liver induced after treatment with a high-fat diet. It was clearly demonstrated that assessment of the altered TAG biosynthesis pathways under pathophysiological conditions can be readily achieved through simulation of lipidomics data. Triglycerides are an important class of lipids that largely exist as triacylglycerol (TAG) species, although a small amount of ether-linked triglyceride species are also present in biological systems ( 1 ). The main biological role of TAG species is to serve as energy storage depots. As metabolic syndrome becomes increasingly prevalent, the excess levels of TAG ma...