Understanding the impact of missense mutations on the structure and function of the EDA gene in X‐linked hypohidrotic ectodermal dysplasia: A bioinformatics approach. Issue 2 (24th November 2021)

• Record Type: Journal Article
• Authors: Ranjan, Prashant; Das, Parimal
• Is Part Of: Journal of cellular biochemistry. Volume 123:Issue 2(2022)
• Page Start: 431
• Page End: 449
• Publication Date: 2021-11-24
• Subjects: EDA gene -- in silico analysis -- molecular docking -- molecular simulation -- PTMs; Cytochemistry -- Periodicals; 572
• DOI: 10.1002/jcb.30186
• Languages: English
• ISSNs: 0730-2312

Abstract

Abstract: X‐linked hypohidrotic dysplasia (XLHED), caused by mutations in the EDA gene, is a rare genetic disease that affects the development and function of the teeth, hair, nails, and sweat glands. The structural and functional consequences of caused by an ectodysplasin‐A (EDA) mutations on protein phenotype, stability, and posttranslational modifications (PTMs) have not been well investigated. The present investigation involves five missense mutations that cause XLHED (L56P, R155C, P220L, V251M, and V322A) in different domains of EDA (TM, furin, collagen, and tumor necrosis factor [TNF]) from previously published papers. The deleterious nature of EDA mutant variants was identified using several computational algorithm tools. The point mutations induce major drifts in the structural flexibility of EDA mutant variants and have a negative impact on their stability, according to the 3D protein modeling tool assay. Using the molecular docking technique, EDA/EDA variants were docked to 10 EDA interacting partners, retrieved from the STRING database. We found a novel biomarker CD68 by molecular docking analysis, suggesting all five EDA variants had lower affinity for EDAR, EDA2R, and CD68, implying that they would affect embryonic signaling between the ectodermal and mesodermal cell layers. In silico research such as gene ontology, subcellular localization, protein–protein interaction, and PTMs investigations indicates major functional alterations would occur in EDA variants. According to molecular simulations, EDA variants influence the structural conformation, compactness, stiffness, and function of the EDA protein. Further studies on cell line and animal models might be useful in determining their specific roles in functional annotations.