Disease-Gene Networks of Skin Pigmentation Disorders and Reconstruction of Protein-Protein Interaction Networks.

Bioengineering (Basel)

Systems Biology Ireland and UCD Charles Institute of Dermatology, School of Medicine, University College Dublin, Belfield, D04 V1W8 Dublin, Ireland.

Published: December 2022

AI Article Synopsis

  • * The study used bioinformatics to analyze gene-disease associations and create protein-protein interaction (PPI) networks involving pigmentation proteins, incorporating data from melanoma cell lines.
  • * This research results in a comprehensive pigmentation network map that can help scientists test new hypotheses and discover potential drug targets related to pigmentation disorders.

Article Abstract

Melanin, a light and free radical absorbing pigment, is produced in melanocyte cells that are found in skin, but also in hair follicles, eyes, the inner ear, heart, brain and other organs. Melanin synthesis is the result of a complex network of signaling and metabolic reactions. It therefore comes as no surprise that mutations in many of the genes involved are associated with various types of pigmentation diseases and phenotypes ('pigmentation genes'). Here, we used bioinformatics tools to first reconstruct gene-disease/phenotype associations for all pigmentation genes. Next, we reconstructed protein-protein interaction (PPI) networks centered around pigmentation gene products ('pigmentation proteins') and supplemented the PPI networks with protein expression information obtained by mass spectrometry in a panel of melanoma cell lines (both pigment producing and non-pigment producing cells). The analysis provides a systems network representation of all genes/ proteins centered around pigmentation and melanin biosynthesis pathways ('pigmentation network map'). Our work will enable the pigmentation research community to experimentally test new hypothesis arising from the pigmentation network map and to identify new targets for drug discovery.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9854651PMC
http://dx.doi.org/10.3390/bioengineering10010013DOI Listing

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