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Lipostar

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Lipostar 2 is a comprehensive, vendor-neutral software for LC-MS/MS-based lipidomics (DDA and DIA), which includes a large number of features including: raw data import and peak detection, identification, quantification, statistical analysis, trend analysis and biopathways analysis.

Lipostar 2 finds application in untargeted and semi-targeted lipidomics, including stable isotope labelling experiments. Within a Lipostar session, different modes of lipidomics analysis can be combined to increase knowledge and obtain a more comprehensive analysis of lipid profiles.

Key Features

  • The DB Manager module that enables the generation of databases of fragmented lipids by applying fragmentation rules provided by the software or by importing experimental MS/MS data
  • A flexible lipid identification approach that includes:
    1. a spectral matching approach
    2. high-throughput bottom-up approach, based on class-specific fragment recognition
    3. high-throughput identification of oxidized species.
  • A gap-filler algorithm to reduce missing values
  • Various plots to visualize and refine identification results
  • Various multivariate statistical analysis tools
  • Lipid pathways

Enhancements in Lipostar 2

Data Processing

  • More instruments supported. Now Lipostar 2 reads the most common file formats:
    • Agilent Q-Tof(*.d): AutoMS and full scan at multiple energies of collision (All Ions).
    • Waters (*.raw): MSe, HDMSe, DDA, and MSMS, SONAR
    • Thermo-Fisher (*.RAW): Ion-Trap and Orbitrap, Exactive, Q-Exactive, DDA and AIF
    • ABSCiex *.wiff file format.
    • Bruker (*.d): QTof, FT-ICR, TIMS-TOF data dependent scan.
    • Shimadzu (*.lcd): QTof
  • Data processing can be run in the background.

Data Analysis

  • Trend analysis for global lipid profiling

Identification

  • New fragmentation rules for automatic lipid identification
  • Lipid database generation from in-house data
  • Improved adduct and in source fragmentation clustering
  • Customized adducts support
  • Transfer of identification results to submatrices
  • Kendrick mass defect plot
  • Use of Waters CCS values for identification scores

Quantification

  • New handling of adduct information

Lipid pathways

  • Updated and new biopathways maps available (metabolism & disease)

Cross-talk with other software

  • Connection to LipidLynxX for lipid annotation
  • connection to LPPTiger for in depth identification of oxidized species

Tutorials

  • 14 updated and new tutorials are available

References