Mohammad Azharuddin
University of Calcutta, India
Title: Functional Proteomic Approach in Dry Eye Disease
Biography
Biography: Mohammad Azharuddin
Abstract
Identifying important biomarker(s) for a disease is a major challenge in clinical proteomics. In this paper we have introduced a metadata approach to classify proteomes from aqueous deficient dry eye (ADDE) disease. After initial selection of tear samples from control and ADDE subjects a disease specific proteome set was constructed using a simple set theory based reduction method. The properties for each of such protein members were then evaluated, and the properties having highest discriminatory power (between control and ADDE) were chosen. The electrostatic charge distribution and amino acid composition and to some extent overall hydrophobicity seemed to be the important discriminatory features. The ADDE patients thus showed a positive bias in their proteome as compared to control subjects. Similarly, the disease specific proteome contained lesser percentage of glycine and higher percentage of threonine. The meta-proteomic analysis thus implied that ADDE specific proteins have lesser flexibility in their conformation. The results seemed to have some correspondence with our recent finding that ADDE is a protein conformational disease having higher propensity for occurrence of aggregated proteins.