Article: Computational systems biology of pityriasis lichenoides chronica and its comorbidities Journal: International Journal of Bioinformatics Research and Applications (IJBRA) 2021 Vol.17 No.5 pp.442 - 474 Abstract: Pityriasis lichenoides chronica (PLC) is a rare idiopathic skin disorder that is characterised by scaly, pink papules mainly on the trunks and limbs. The etiology and immunological pathways of the disease are yet unknown. In this study we have attempted to study gene expression, gene regulatory networks and studied the comorbidities as a systems biology approach which may lead us to the identification of pathways of immunomodulation involved in PLC and its comorbidities, thereby facilitating therapeutic intervention. We identified gene list using various datasets. We also constructed a network between Transcription Factors and Genes. We also used pathway analysis tools. The insight derived from the study was that PLC and Psoriasis are related genotypically and phenotypically. With all these similarities there are also huge differences in molecular mechanisms and predisposing factors and so different courses have to be adopted for the management and therapy of these dermatological disorders. Inderscience Publishers - linking academia, business and industry through research

Title: Computational systems biology of pityriasis lichenoides chronica and its comorbidities

Authors: Keziah Souza; Sravani Valligari; Pavan Kumar; Daniel Alex Anand

Addresses: Department of Biomedical Engineering, Sathyabama Institute of Science and Technology, Chennai – 600119, India ' Department of Bioinformatics, Sathyabama Institute of Science and Technology, Chennai – 600119, India ' Department of Bioinformatics, Sathyabama Institute of Science and Technology, Chennai – 600119, India ' Department of Bioinformatics, Sathyabama Institute of Science and Technology, Chennai – 600119, India

Abstract: Pityriasis lichenoides chronica (PLC) is a rare idiopathic skin disorder that is characterised by scaly, pink papules mainly on the trunks and limbs. The etiology and immunological pathways of the disease are yet unknown. In this study we have attempted to study gene expression, gene regulatory networks and studied the comorbidities as a systems biology approach which may lead us to the identification of pathways of immunomodulation involved in PLC and its comorbidities, thereby facilitating therapeutic intervention. We identified gene list using various datasets. We also constructed a network between Transcription Factors and Genes. We also used pathway analysis tools. The insight derived from the study was that PLC and Psoriasis are related genotypically and phenotypically. With all these similarities there are also huge differences in molecular mechanisms and predisposing factors and so different courses have to be adopted for the management and therapy of these dermatological disorders.

Keywords: gene expression; miRNA; SNPs; single nucleotide polymorphisms; transcription factors; PLC; HLA; networks; pathways; susceptibility; computational biology.

DOI: 10.1504/IJBRA.2021.120206

International Journal of Bioinformatics Research and Applications, 2021 Vol.17 No.5, pp.442 - 474

Accepted: 17 Nov 2020
Published online: 11 Jan 2022 *

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Title: Computational systems biology of pityriasis lichenoides chronica and its comorbidities

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