HOME   |    PDF   |   


Title

Evaluation of serum proteome from Indian psoriasis patients

Authors

Saiqa R. Shah1, Varshasnata Mohanty2, Debajit Chaudhury3, T.S. Keshava Prasad4, Manjunath Mala Shenoy1,*

 

Affiliation

1Yenepoya Medical College, Yenepoya (Deemed to be university), Deralakatte, Mangalore, India; 2Institute of Life sciences, Bhubaneswar, Odisha, India; 3Stem Cell and Regenerative Medicine Centre, Yenepoya Research Centre, Yenepoya (Deemed to be University) India; 4Centre for Systems Biology and Molecular Medicine Yenepoya Research Center, Yenepoya (Deemed to be University) India; *Corresponding author

 

Email

Saiqa R. Shah - E-mail: shah.saiqa2@gmail.com

Varshasnata Mohanty - E-mail: varshasnata.mohanty@gmail.com

Debajit Chaudhary - E-mail: chaudhurydebajit@gmail.com

TS Keshava Prasad - E-mail: keshav@yenepoya.edu.in

Manjunath Shenoy - E-mail:manjunath576117@yahoo.co.in

 

Article Type

Research Article

 

Date

Received December 28, 2021; Revised March 2, 2022; Accepted March 31, 2022, Published March 31, 2022

 

Abstract

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.

 

Keywords

Psoriasis, LC-MS/MS, Orbitrap, biomarkers, serum

 

Citation

Shah et al. Bioinformation 18(3): 141-146 (2022)

 

Edited by

P Kangueane

 

ISSN

0973-2063

 

Publisher

Biomedical Informatics

 

License

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.