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Related Experiment Video

Updated: Jun 20, 2026

Adipocyte-Specific ATAC-Seq with Adipose Tissues Using Fluorescence-Activated Nucleus Sorting
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Novel insights into adipogenesis from omics data.

Andreas Prokesch1, Hubert Hackl, Robab Hakim-Weber

  • 1Institute for Genomics and Bioinformatics, Graz University of Technology, Graz, Austria.

Current Medicinal Chemistry
|August 20, 2009
PubMed
Summary

High-throughput technologies are advancing our understanding of obesity by identifying new molecular regulators of adipogenesis (fat cell development). Meta-analysis of gene expression data reveals global biological networks involved in adipose tissue growth.

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Area of Science:

  • Biochemistry and Molecular Biology
  • Genetics and Genomics
  • Metabolic Diseases

Background:

  • Obesity, characterized by excess adipose tissue, is a global health crisis.
  • Adipose tissue expands through adipocyte (fat cell) number increase (hyperplasia) and size increase (hypertrophy).
  • Adipogenesis, the process of fat cell development, is crucial for understanding obesity but its molecular regulation is not fully elucidated.

Purpose of the Study:

  • To review recent high-throughput studies identifying novel molecular components regulating adipogenesis.
  • To provide an overview of omics technologies applied to adipogenesis research.
  • To highlight the potential of large-scale data analysis for understanding biological networks.

Main Methods:

  • Gene expression profiling using microarrays.

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  • Proteomics (gel-based and non-gel-based).
  • Chromatin immunoprecipitation followed by microarray analysis (ChIP-chip) or sequencing (ChIP-seq).
  • Meta-analysis of microarray data.

    • Main Results:

    • High-throughput technologies, particularly microarrays, have identified numerous novel molecular players in adipogenesis.
    • Meta-analysis of gene expression data provided a global view of biological processes and molecular networks.
    • Omics approaches combined with bioinformatics enable comprehensive understanding of adipogenesis.

    Conclusions:

    • Large-scale omics technologies are powerful tools for discovering novel adipogenesis regulators.
    • Sophisticated bioinformatics analysis is essential for interpreting complex omics data.
    • Future research should address remaining questions and challenges in adipogenesis research.