Literature DB >> 29705063

LipiDex: An Integrated Software Package for High-Confidence Lipid Identification.

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.
Copyright © 2018 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  data analysis; lipid fragmentation; lipidomics; mass spectrometry; open-source software; spectral library

Mesh:

Substances:

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


  35 in total

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Journal:  Nat Methods       Date:  2017-10-23       Impact factor: 28.547

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7.  A lipidome atlas in MS-DIAL 4.

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