Related Experiment Video
Updated: Jun 20, 2026
11:46
Shotgun Lipidomics of Rodent Tissues
Published on: November 18, 2022
Instrument-independent software tools for the analysis of MS-MS and LC-MS lipidomics data
Perttu Haimi1, Krishna Chaithanya, Ville Kainu
1Department of Biochemistry, Institute of Biomedicine, University of Helsinki, Helsinki, Finland.
Methods in Molecular Biology (Clifton, N.J.)
|September 29, 2009
Summary
New software tools, lipid mass spectrum analysis (LIMSA) and spectrum extraction from chromatographic data (SECD), enhance the speed and reliability of mass spectrometry-based lipidomics data processing. These tools improve quantitative analysis of complex lipidomes.
Area of Science:
- * Analytical Chemistry
- * Biochemistry
- * Computational Biology
Background:
- * Mass spectrometry (MS) is crucial for lipidomics, but data processing is a bottleneck.
- * Existing MS software lacks suitability for quantitative lipidome analysis due to species diversity and calibration complexities.
- * High-throughput lipidomics experiments generate vast datasets, necessitating efficient analysis tools.
Purpose of the Study:
- * To introduce and evaluate two novel software tools, LIMSA and SECD, for improved mass spectrometric analysis of lipidomes.
- * To enhance the speed, reliability, and quantitative accuracy of lipidome profiling.
- * To provide instrument-independent and user-friendly solutions for complex lipidomics data.
Main Methods:
- * Lipid Mass Spectrum Analysis (LIMSA): An Excel add-on for peak detection, identification, isotopic overlap correction, and quantification using internal standards.
- * Spectrum Extraction from Chromatographic Data (SECD): Software for visualizing MS chromatograms as 2D maps and extracting spectra from specific regions to improve signal-to-noise ratio.
- * Instrument-independent processing of text-format MS spectra.
Main Results:
- * LIMSA and SECD significantly increase the speed and reliability of analyzing complex lipidomes.
- * LIMSA processes individual spectra in seconds, enabling rapid quantitative analysis.
- * SECD improves data quality by enabling targeted spectral extraction, enhancing signal-to-noise ratios.
Conclusions:
- * LIMSA and SECD are robust, convenient, and effective tools for advancing lipidomics research.
- * These free software solutions address limitations in current MS data processing for lipidomics.
- * The tools facilitate more accurate and efficient quantitative analysis of complex lipidomes.
Related Concept Videos
01:19MALDI-TOF Mass Spectrometry
Mass spectrometry is a powerful characterization technique that can identify and separate a wide variety of compounds ranging from chemical to biological entities, based on their mass-to-charge ratio (m/z). The instruments that allow this detection, known as mass spectrometers, have three components: an ion source, a mass analyzer, and a detector. These spectrometers differ based on the nature of their ion source and analyzers.Matrix-assisted laser desorption ionization (MALDI) is a commonly...
01:08Matrix-Assisted Laser Desorption Ionization (MALDI)
Matrix-assisted laser desorption ionization (MALDI) is a powerful analytical technique used in mass spectrometry. It enables the identification and characterization of various biomolecules, including proteins, peptides, nucleic acids, and carbohydrates. MALDI is an ionization technique, widely employed in biological and medical research, as well as in fields like pharmacology and biochemistry.The analyte of interest, a biomolecule or a mixture of biomolecules, is mixed with a suitable matrix...
01:33Peptide Identification Using Tandem Mass Spectrometry
Tandem mass spectrometry, also known as MS/MS or MS2, is an analytical technique that employs two mass analyzers. Essentially it is a series of mass spectrometers that helps isolate a particular biomolecule and then helps study its chemical properties.
This technique helps gather information regarding the protein from which the peptide was obtained and to study the peptides’ amino acid sequence. Identifying peptides from a complex mixture is an important component of the growing field of...
This technique helps gather information regarding the protein from which the peptide was obtained and to study the peptides’ amino acid sequence. Identifying peptides from a complex mixture is an important component of the growing field of...
01:21Tandem Mass Spectrometry
Tandem mass spectrometry is a technique that uses multiple mass analyzers in series to obtain a higher selectivity and reduce chemical noise during analyte detection. Instruments with multiple analyzers separated by an interaction cell enable secondary fragmentation and selected study of the fragment ions.Secondary fragmentations occur in the interaction cell and can be induced by various factors. Fragmentation induced by collision with inert gases, such as N2, Ar, He, etc., is called...