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Feedback Loops of Adipogenesis Targeted (FAT)

Feedback Loops of Adipogenesis Targeted (FAT)

Robert Ahrends (ORCID: 0000-0003-0232-3375)
  • Grant DOI 10.55776/P33298
  • Funding program Principal Investigator Projects
  • Status ended
  • Start March 1, 2020
  • End December 31, 2023
  • Funding amount € 321,615

Disciplines

Chemistry (40%); Computer Sciences (10%); Clinical Medicine (50%)

Keywords

    Adipogenesis, PPARG, Lipidomics, Feedback, Multiomics

Abstract

The obesity pandemic has become one of the most important global health issues, causing an annual health burden of 2 trillion Euros. To uncover the origin of increased or decreased fat cell production and to find novel treatment strategies, a comprehensive understanding of the underlying regulatory mechanism is indispensable. So far, studying signaling pathways in adipogenesis has largely focused on a single molecular layer (e.g. mRNA or protein) without considering higher levels of network connectivity such as feedback and crosstalk between different molecular layers (e.g. lipids, metabolites and proteins). However, it is becoming more and more evident that complex signaling networks can only be fully understood within the context of metabolic control. The aim of this proposal is to decipher the metabolic network of fat cell differentiation to understand how small molecules can control the number of fat cells during differentiation.

Research institution(s)
  • Universität Wien - 100%

Research Output

  • 210 Citations
  • 7 Publications
  • 1 Artistic Creations
  • 1 Methods & Materials
Publications
  • 2021
    Title Recommendations for good practice in MS-based lipidomics
    DOI 10.1016/j.jlr.2021.100138
    Type Journal Article
    Author Köfeler H
    Journal Journal of Lipid Research
    Pages 100138
    Link Publication
  • 2021
    Title Targeted Phosphoinositides Analysis Using High-Performance Ion Chromatography-Coupled Selected Reaction Monitoring Mass Spectrometry
    DOI 10.1021/acs.jproteome.1c00017
    Type Journal Article
    Author Cheung H
    Journal Journal of Proteome Research
    Pages 3114-3123
    Link Publication
  • 2020
    Title Targeted Omics: Finding the Needle
    DOI 10.1002/pmic.201900024
    Type Journal Article
    Author Coman C
    Journal PROTEOMICS
  • 2023
    Title Accurate Sphingolipid Quantification Reducing Fragmentation Bias by Nonlinear Models.
    DOI 10.1021/acs.analchem.3c02445
    Type Journal Article
    Author Kopczynski D
    Journal Analytical chemistry
    Pages 15227-15235
  • 2023
    Title LipidSpace: Simple Exploration, Reanalysis, and Quality Control of Large-Scale Lipidomics Studies.
    DOI 10.1021/acs.analchem.3c02449
    Type Journal Article
    Author Hoffmann N
    Journal Analytical chemistry
    Pages 15236-15244
  • 2022
    Title Goslin 2.0 Implements the Recent Lipid Shorthand Nomenclature for MS-Derived Lipid Structures
    DOI 10.1021/acs.analchem.1c05430
    Type Journal Article
    Author Kopczynski D
    Journal Analytical Chemistry
    Pages 6097-6101
    Link Publication
  • 2022
    Title Guiding the choice of informatics software and tools for lipidomics research applications
    DOI 10.1038/s41592-022-01710-0
    Type Journal Article
    Author Ni Z
    Journal Nature Methods
    Pages 193-204
    Link Publication
Artistic Creations
  • 2023 Link
    Title Lipid quantification & data visualization
    Type Artwork
    Link Link
Methods & Materials
  • 2023
    Title Model for Sphingolipid quantification; Assay to analyze >300 signaling lipids
    Type Technology assay or reagent
    Public Access

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