In the last years, lipidomics has emerged as a rapidly evolving tool in many fields of science. In our laboratory, we are particularly interested in unravelling the complex role of the wide range of lipids in the pathogenesis of disease (e.g. cancer). To this end, we are deeply committed in the development of workflows and tools focused on improving lipidome analysis and lipid annotation when liquid chromatography coupled to high-resolution mass spectrometry (LC-HRMS) approaches are used. In this regard, we have developed the following tools:
LipidMS is an R-package aimed to confidentially identify complex lipids in untargeted LC-DIA-MS analysis. The tool is based on a set of fragmentation rules and a coelution scores between parent and fragment ions present within predefined retention time windows1. A recent update of LipidMS allow not only the analysis of DIA but also DDA data from a number of mass spectrometry vendors (i.e., Thermo, Agilent). Currently, the data analysis workflow is also available as a web-based tool with an user-friendly interface. In the near future, we will launch an updated version that could process batches of samples.
- Alcoriza-Balaguer MI, García-Cañaveras JC, López A, Conde I, Juan O, Carretero J, Lahoz A. LipidMS: An R Package for Lipid Annotation in Untargeted Liquid Chromatography-Data Independent Acquisition-Mass Spectrometry Lipidomics. Anal Chem. 2019 Jan 2;91(1):836-845. doi: 10.1021/acs.analchem.8b03409. Epub 2018 Dec 13. PMID: 30500173.