Literature DB >> 16878888

Fatty acid analysis tool (FAAT): An FT-ICR MS lipid analysis algorithm.

Michael D Leavell1, Julie A Leary.   

Abstract

Electrospray ionization mass spectrometry is becoming an established tool for the investigation of lipids. As the methods for lipid analysis become more mature and their throughput increases, computer algorithms for the interpretation of such data will become a necessity. Toward this end, an algorithm dedicated to the analysis of Fourier transform mass spectral data from lipid extracts has been developed. The algorithm, Fatty Acid Analysis Tool, termed FAAT, has been successfully used to investigate complex lipid extracts containing thousands of components, from various species of mycobacteria including M. tuberculosis and M. abscessus. FAAT is rapid, generally taking tens of seconds to interpret multiple spectra, and accessible to most users as it is implemented in Microsoft Excel Visual Basic Software. In the reduction of data, FAAT begins by scaling spectra (i.e., to account for dilution factors), identifying monoisotopic ions, and assigning isotope packets. Unique features of FAAT include the following: (1) overlapping saturated and unsaturated lipid species can be distinguished, (2) known ions are assigned from a user-defined library including species that possess methylene heterogeneity, (3) and isotopic shifts from stable isotope labeling experiments are identified and assigned (up to a user-defined maximum). In addition, abundance differences between samples grown under normal and stressed conditions can be determined. In the analysis of mycobacterial lipid extracts, FAAT has successfully identified isotopic shifts from incorporation of 15N in M. abscessus. Additionally, FAAT has been used to successfully determine differences in lipid abundances between M. tuberculosis wild-type and mutant strains.

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Year:  2006        PMID: 16878888     DOI: 10.1021/ac0604179

Source DB:  PubMed          Journal:  Anal Chem        ISSN: 0003-2700            Impact factor:   6.986


  11 in total

1.  Improved LC-MS method for the determination of fatty acids in red blood cells by LC-orbitrap MS.

Authors:  Xingnan Li; Adrian A Franke
Journal:  Anal Chem       Date:  2011-03-23       Impact factor: 6.986

2.  Lipidomic analyses of Mycobacterium tuberculosis based on accurate mass measurements and the novel "Mtb LipidDB".

Authors:  Mark J Sartain; Donald L Dick; Christopher D Rithner; Dean C Crick; John T Belisle
Journal:  J Lipid Res       Date:  2011-02-01       Impact factor: 5.922

3.  Automated lipid A structure assignment from hierarchical tandem mass spectrometry data.

Authors:  Ying S Ting; Scott A Shaffer; Jace W Jones; Wailap V Ng; Robert K Ernst; David R Goodlett
Journal:  J Am Soc Mass Spectrom       Date:  2011-03-05       Impact factor: 3.109

Review 4.  Bioinformatics and systems biology of the lipidome.

Authors:  Shankar Subramaniam; Eoin Fahy; Shakti Gupta; Manish Sud; Robert W Byrnes; Dawn Cotter; Ashok Reddy Dinasarapu; Mano Ram Maurya
Journal:  Chem Rev       Date:  2011-09-23       Impact factor: 60.622

Review 5.  Lipidomic profiling of model organisms and the world's major pathogens.

Authors:  Emilie Layre; D Branch Moody
Journal:  Biochimie       Date:  2012-08-23       Impact factor: 4.079

Review 6.  Foodomics and Food Safety: Where We Are.

Authors:  Uroš Andjelković; Martina Šrajer Gajdošik; Dajana Gašo-Sokač; Tamara Martinović; Djuro Josić
Journal:  Food Technol Biotechnol       Date:  2017-09       Impact factor: 3.918

7.  Algorithm for processing raw mass spectrometric data to identify and quantitate complex lipid molecular species in mixtures by data-dependent scanning and fragment ion database searching.

Authors:  Haowei Song; Fong-Fu Hsu; Jack Ladenson; John Turk
Journal:  J Am Soc Mass Spectrom       Date:  2007-07-29       Impact factor: 3.109

Review 8.  Algorithms for automatic processing of data from mass spectrometric analyses of lipids.

Authors:  Haowei Song; Jack Ladenson; John Turk
Journal:  J Chromatogr B Analyt Technol Biomed Life Sci       Date:  2008-12-25       Impact factor: 3.205

9.  A novel informatics concept for high-throughput shotgun lipidomics based on the molecular fragmentation query language.

Authors:  Ronny Herzog; Dominik Schwudke; Kai Schuhmann; Julio L Sampaio; Stefan R Bornstein; Michael Schroeder; Andrej Shevchenko
Journal:  Genome Biol       Date:  2011-01-19       Impact factor: 13.583

10.  Analysis of lipid experiments (ALEX): a software framework for analysis of high-resolution shotgun lipidomics data.

Authors:  Peter Husen; Kirill Tarasov; Maciej Katafiasz; Elena Sokol; Johannes Vogt; Jan Baumgart; Robert Nitsch; Kim Ekroos; Christer S Ejsing
Journal:  PLoS One       Date:  2013-11-07       Impact factor: 3.240

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