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Co-immunoprecipitation Assay for Studying Functional Interactions Between Receptors and Enzymes
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Co-immunoprecipitation Assay for Studying Functional Interactions Between Receptors and Enzymes

Published on: September 28, 2018

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Insights into protein interaction networks reveal non-receptor kinases as significant druggable targets for psoriasis

Sudharsana Sundarrajan1, Sajitha Lulu1, Mohanapriya Arumugam1

  • 1Bioinformatics Division, School of Biosciences and Technology, Vellore Institute of Technology University, India.

Gene
|April 18, 2015
PubMed

Insights

This study identified non-receptor kinases as promising therapeutic targets for psoriasis, a chronic inflammatory skin condition. Computational analysis of gene expression data revealed these kinases play a key role in the disease

Area of Science:

  • Dermatology and immunology
  • Computational biology and bioinformatics

Background:

  • Psoriasis is a chronic inflammatory skin disease driven by T-cell-mediated immune responses.
  • Understanding the molecular pathogenesis is crucial for developing effective psoriasis treatments.

Purpose of the Study:

  • To identify novel therapeutic drug targets for psoriasis using an in-silico approach.
  • To analyze gene expression profiles and protein interaction networks in psoriatic skin.

Main Methods:

  • Utilized in-silico methods for target identification.
  • Performed gene expression profiling of psoriatic skin, identifying 427 differentially expressed genes (DEGs).
  • Conducted gene ontology analysis and constructed protein-protein interaction networks.

Main Results:

  • DEGs were involved in calcium binding, apoptosis, keratinization, lipid transport, and immune processes.
  • Protein interaction networks highlighted interconnected signaling pathways, enriched with kinome.
  • Identified non-receptor kinases as key components of immune signaling subnetworks.

Conclusions:

  • Non-receptor kinases are central to the immune response in psoriasis.
  • These kinases represent promising therapeutic targets for novel psoriasis drug development.
Keywords:
Gene expression profilingGene modulesGene ontologyProtein interaction networkPsoriasis

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