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

Michael D Leavell1, Julie A Leary

  • 1Genome and Biomedical Sciences Facility, University of California, Davis, California 95616, USA. mdleavell@ucdavis.edu

Analytical Chemistry
|August 2, 2006
PubMed
Summary

A new algorithm, Fatty Acid Analysis Tool (FAAT), rapidly analyzes complex lipid data from mass spectrometry. FAAT aids in distinguishing lipid species and identifying abundance differences in mycobacteria.

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Area of Science:

  • Lipidomics
  • Mass Spectrometry
  • Bioinformatics

Background:

  • Electrospray ionization mass spectrometry (ESI-MS) is increasingly vital for lipid research.
  • High-throughput lipid analysis necessitates advanced computational tools for data interpretation.

Purpose of the Study:

  • To develop a computer algorithm for analyzing Fourier transform mass spectral data of lipid extracts.
  • To create a tool capable of handling complex lipid mixtures and identifying specific lipid species and their abundances.

Main Methods:

  • Development of the Fatty Acid Analysis Tool (FAAT) algorithm using Microsoft Excel Visual Basic.
  • FAAT processes spectra by scaling, identifying monoisotopic ions, and assigning isotope packets.
  • The tool distinguishes overlapping lipid species, utilizes user-defined libraries for known ions, and identifies isotopic shifts.

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Main Results:

  • FAAT successfully analyzed complex lipid extracts from mycobacteria, including M. tuberculosis and M. abscessus.
  • The algorithm rapidly interprets multiple spectra (tens of seconds).
  • FAAT identified 15N incorporation in M. abscessus and quantified lipid abundance differences in M. tuberculosis strains.

Conclusions:

  • FAAT is an efficient and accessible tool for complex lipidomic data analysis.
  • The algorithm facilitates the study of lipid heterogeneity and abundance variations in microbial species.
  • FAAT supports investigations into lipid profiles under different growth conditions and genetic modifications.