Evaluation of serum proteome from Indian psoriasis patients

Psoriasis is a polygenic chronic skin condition, associated with many systemic disorders. Though it is most studied dermatological condition, molecular mechanism leading to its pathogenesis is still unclear. An insight into its proteome may help unrevealing some biomarkers and therapeutic targets. I...

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Autores principales: Shah, Saiqa R, Mohanty, Varshasnata, Chaudhury, Debajit, Prasad, T.S. Keshava, Shenoy, Manjunath Mala
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Biomedical Informatics 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9722433/
https://www.ncbi.nlm.nih.gov/pubmed/36518145
http://dx.doi.org/10.6026/97320630018141
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author Shah, Saiqa R
Mohanty, Varshasnata
Chaudhury, Debajit
Prasad, T.S. Keshava
Shenoy, Manjunath Mala
author_facet Shah, Saiqa R
Mohanty, Varshasnata
Chaudhury, Debajit
Prasad, T.S. Keshava
Shenoy, Manjunath Mala
author_sort Shah, Saiqa R
collection PubMed
description Psoriasis is a polygenic chronic skin condition, associated with many systemic disorders. Though it is most studied dermatological condition, molecular mechanism leading to its pathogenesis is still unclear. An insight into its proteome may help unrevealing some biomarkers and therapeutic targets. In this study, we carried out mass spectrometry based quantitative proteomic analysis of serum from psoriasis patients by employing Tandem Mass Tags (TMT) approach. We identified 861,887 MS/MS spectra corresponding to 493 proteins. These dysregulated proteins were further classified by Gene Ontology and protein-protein interaction of dys-regulated proteins revealed networks in psoriasis patients.
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spelling pubmed-97224332022-12-13 Evaluation of serum proteome from Indian psoriasis patients Shah, Saiqa R Mohanty, Varshasnata Chaudhury, Debajit Prasad, T.S. Keshava Shenoy, Manjunath Mala Bioinformation Research Article Psoriasis is a polygenic chronic skin condition, associated with many systemic disorders. Though it is most studied dermatological condition, molecular mechanism leading to its pathogenesis is still unclear. An insight into its proteome may help unrevealing some biomarkers and therapeutic targets. In this study, we carried out mass spectrometry based quantitative proteomic analysis of serum from psoriasis patients by employing Tandem Mass Tags (TMT) approach. We identified 861,887 MS/MS spectra corresponding to 493 proteins. These dysregulated proteins were further classified by Gene Ontology and protein-protein interaction of dys-regulated proteins revealed networks in psoriasis patients. Biomedical Informatics 2022-03-31 /pmc/articles/PMC9722433/ /pubmed/36518145 http://dx.doi.org/10.6026/97320630018141 Text en © 2022 Biomedical Informatics https://creativecommons.org/licenses/by/3.0/This is an Open Access article which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. This is distributed under the terms of the Creative Commons Attribution License.
spellingShingle Research Article
Shah, Saiqa R
Mohanty, Varshasnata
Chaudhury, Debajit
Prasad, T.S. Keshava
Shenoy, Manjunath Mala
Evaluation of serum proteome from Indian psoriasis patients
title Evaluation of serum proteome from Indian psoriasis patients
title_full Evaluation of serum proteome from Indian psoriasis patients
title_fullStr Evaluation of serum proteome from Indian psoriasis patients
title_full_unstemmed Evaluation of serum proteome from Indian psoriasis patients
title_short Evaluation of serum proteome from Indian psoriasis patients
title_sort evaluation of serum proteome from indian psoriasis patients
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9722433/
https://www.ncbi.nlm.nih.gov/pubmed/36518145
http://dx.doi.org/10.6026/97320630018141
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