Literature DB >> 28822794

Lipidomics informatics for life-science.

D Schwudke1, A Shevchenko2, N Hoffmann3, R Ahrends4.   

Abstract

Lipidomics encompasses analytical approaches that aim to identify and quantify the complete set of lipids, defined as lipidome in a given cell, tissue or organism as well as their interactions with other molecules. The majority of lipidomics workflows is based on mass spectrometry and has been proven as a powerful tool in system biology in concert with other Omics disciplines. Unfortunately, bioinformatics infrastructures for this relatively young discipline are limited only to some specialists. Search engines, quantification algorithms, visualization tools and databases developed by the 'Lipidomics Informatics for Life-Science' (LIFS) partners will be restructured and standardized to provide broad access to these specialized bioinformatics pipelines. There are many medical challenges related to lipid metabolic alterations that will be fostered by capacity building suggested by LIFS. LIFS as member of the 'German Network for Bioinformatics' (de.NBI) node for 'Bioinformatics for Proteomics' (BioInfra.Prot) and will provide access to the described software as well as to tutorials and consulting services via a unified web-portal.
Copyright © 2017 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Bioinformatics; LIFS; LipidCreator; LipidXplorer; Lipidomics; Lux-Score; Skyline

Mesh:

Substances:

Year:  2017        PMID: 28822794     DOI: 10.1016/j.jbiotec.2017.08.010

Source DB:  PubMed          Journal:  J Biotechnol        ISSN: 0168-1656            Impact factor:   3.307


  8 in total

1.  A novel sample preparation strategy for shotgun lipidomics of phospholipids employing multilamellar vesicles.

Authors:  Melissa Frick; Tommy Hofmann; Caroline Haupt; Carla Schmidt
Journal:  Anal Bioanal Chem       Date:  2018-05-08       Impact factor: 4.142

2.  LION/web: a web-based ontology enrichment tool for lipidomic data analysis.

Authors:  Martijn R Molenaar; Aike Jeucken; Tsjerk A Wassenaar; Chris H A van de Lest; Jos F Brouwers; J Bernd Helms
Journal:  Gigascience       Date:  2019-06-01       Impact factor: 6.524

3.  The de.NBI / ELIXIR-DE training platform - Bioinformatics training in Germany and across Europe within ELIXIR.

Authors:  Daniel Wibberg; Bérénice Batut; Peter Belmann; Jochen Blom; Frank Oliver Glöckner; Björn Grüning; Nils Hoffmann; Nils Kleinbölting; René Rahn; Maja Rey; Uwe Scholz; Malvika Sharan; Andreas Tauch; Ulrike Trojahn; Björn Usadel; Oliver Kohlbacher
Journal:  F1000Res       Date:  2019-11-07

4.  Comparative Analysis of Milk Triglycerides Profile between Jaffarabadi Buffalo and Holstein Friesian Cow.

Authors:  Aparna Verma; Ningombam Sanjib Meitei; Prakash U Gajbhiye; Mark J Raftery; Kiran Ambatipudi
Journal:  Metabolites       Date:  2020-12-11

Review 5.  Bioactive Lipids in MSCs Biology: State of the Art and Role in Inflammation.

Authors:  Sara Casati; Chiara Giannasi; Stefania Niada; Roberta F Bergamaschi; Marica Orioli; Anna T Brini
Journal:  Int J Mol Sci       Date:  2021-02-02       Impact factor: 5.923

6.  SMITER-A Python Library for the Simulation of LC-MS/MS Experiments.

Authors:  Manuel Kösters; Johannes Leufken; Sebastian A Leidel
Journal:  Genes (Basel)       Date:  2021-03-11       Impact factor: 4.096

7.  Lipidomic profiling reveals biosynthetic relationships between phospholipids and diacylglycerol ethers in the deep-sea soft coral Paragorgia arborea.

Authors:  Andrey B Imbs; Peter V Velansky
Journal:  Sci Rep       Date:  2021-10-28       Impact factor: 4.379

8.  Are n-3 PUFAs from Microalgae Incorporated into Membrane and Storage Lipids in Pig Muscle Tissues?-A Lipidomic Approach.

Authors:  Dirk Dannenberger; Anja Eggert; Claudia Kalbe; Anna Woitalla; Dominik Schwudke
Journal:  ACS Omega       Date:  2022-07-08
  8 in total

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