Towards the construction of an interactome for Human WD40 protein family

Hulikal Shivashankara Santosh Kumar1, Vadlapudi Kumar2, Sharath Pattar3

  • 1Department of Biotechnology and Bioinformatics, Kuvempu University, Shankaraghatta - 577451, Karnataka, India.

Bioinformation
|January 21, 2017
PubMed

Insights

This study identifies key WD40 protein interactions linked to insulin resistance. The findings highlight novel proteins with potential clinical significance in metabolic disorders.

Area of Science:

  • Biochemistry and Molecular Biology
  • Systems Biology
  • Genomics

Background:

  • WD40 proteins are crucial for cellular processes, participating in diverse protein-protein interactions within multi-protein complexes.
  • Dysregulation of WD40 proteins is associated with various diseases, including developmental abnormalities and cancer, yet their specific molecular functions remain largely unelucidated.
  • Understanding the WD40 protein interactome is vital for identifying novel therapeutic targets and understanding disease mechanisms.

Purpose of the Study:

  • To construct and refine a comprehensive WD40 protein interactome.
  • To identify key WD40 proteins and their interactions relevant to insulin resistance.
  • To establish a computational pipeline for discovering clinically significant proteins within protein interaction networks.

Main Methods:

  • Literature mining and network construction using Cytoscape.
  • Linear regression analysis of Betweenness centrality and stress scores to filter network nodes.
  • Microarray data analysis and validation in HepG2 cell culture models to identify hub nodes in insulin resistance.

Main Results:

  • A representative WD40 interactome was constructed, identifying 10 ranked nodes.
  • Three specific WD40 proteins (GRWD1, RBBP5, WDR5) were identified as hub nodes associated with insulin resistance.
  • Gene expression of GRWD1, RBBP5, and WDR5 was observed during cellular perturbation, confirming their role in insulin resistance models.

Conclusions:

  • The study successfully defined a WD40 protein interactome and identified critical hub nodes involved in insulin resistance.
  • The developed computational pipeline demonstrates the utility of protein interaction network analysis for discovering novel proteins of clinical importance.
  • These findings provide a foundation for further research into the role of specific WD40 proteins in metabolic diseases and potential therapeutic interventions.

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