| Literature DB >> 29705063 |
Paul D Hutchins1, Jason D Russell2, Joshua J Coon3.
Abstract
State-of-the-art proteomics software routinely quantifies thousands of peptides per experiment with minimal need for manual validation or processing of data. For the emerging field of discovery lipidomics via liquid chromatography-tandem mass spectrometry (LC-MS/MS), comparably mature informatics tools do not exist. Here, we introduce LipiDex, a freely available software suite that unifies and automates all stages of lipid identification, reducing hands-on processing time from hours to minutes for even the most expansive datasets. LipiDex utilizes flexible in silico fragmentation templates and lipid-optimized MS/MS spectral matching routines to confidently identify and track hundreds of lipid species and unknown compounds from diverse sample matrices. Unique spectral and chromatographic peak purity algorithms accurately quantify co-isolation and co-elution of isobaric lipids, generating identifications that match the structural resolution afforded by the LC-MS/MS experiment. During final data filtering, ionization artifacts are removed to significantly reduce dataset redundancy. LipiDex interfaces with several LC-MS/MS software packages, enabling robust lipid identification to be readily incorporated into pre-existing data workflows.Entities:
Keywords: data analysis; lipid fragmentation; lipidomics; mass spectrometry; open-source software; spectral library
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Year: 2018 PMID: 29705063 PMCID: PMC5967991 DOI: 10.1016/j.cels.2018.03.011
Source DB: PubMed Journal: Cell Syst ISSN: 2405-4712 Impact factor: 10.304