Lipostar2

Lipostar2 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.

Lipostar2 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
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

Pharma – Data analysis – Toxicity

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Life Sciences –  Lipidomics

Articles:
  • Guiding the choice of informatics software and tools for lipidomics research applications
    • February 2023. Zhixu Ni Michele WölkGeoff JukesKarla Mendivelso EspinosaRobert AhrendsLucila AimoJorge Alvarez-JarretaSimon AndrewsRobert AndrewsAlan BridgeGeremy C ClairMatthew J ConroyEoin FahyCaroline GaudLaura GoracciJürgen HartlerNils HoffmannDominik KopczyinkiAnsgar KorfAndrea F Lopez-ClavijoAdnan MalikJacobo Miranda AckermanMartijn R MolenaarClaire O’DonovanTomáš PluskalAndrej ShevchenkoDenise SlenterGary SiuzdakMartina KutmonHiroshi TsugawaEgon L WillighagenJianguo XiaValerie B O’DonnellMaria Fedorova
  • Retinoic acid-induced 1 gene haploinsufficiency alters lipid metabolism and causes autophagy defects in Smith-Magenis syndrome
    • November 2022. Elisa Maria TurcoAngela Maria Giada GiovenaleLaura SirenoMartina MazzoniAlessandra CammareriCaterina MarchiorettiLaura GoracciAlessandra Di VeroliElena MarchesanDaniel D’AndreaAntonella FalconieriBarbara TorresLaura BernardiniMaria Chiara MagnificoAlessio PaoneSerena Rinaldo, Matteo Della MonicaStefano D’ArrigoDiana PostorivoAnna Maria NardoneGiuseppe ZampinoRoberta OnesimoChiara LeoniFederico CaicciDomenico RaimondoElena BindaLaura TrobianiAntonella De JacoAda Maria TataDaniela FerrariFrancesca CutruzzolàGianluigi MazzoccoliElena ZivianiMaria PennutoAngelo Luigi VescoviJessica Rosati 

 

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Food –  Analysis Of Soil And Water For Pesticides

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Food –  Component Identification In Food Samples

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