Retinopathy

Retinopathy means disease of the retina. There are several types of retinopathy but all involve disease of the small retinal blood vessels. Retinopathy, or retinal vascular disease, can be broadly categorized into proliferative and non-proliferative types. Both types cause disease by altering the normal blood flow to the retina through different mechanisms. The two most common causes of retinopathy include diabetic retinopathy and retinopathy of prematurity.

Computational systems biology methods are utilized to identify novel drug targets in complex pathologies bearing multifactorial etiology and wide and varying symptomatology. CD ComputaBio has developed advanced biostatistical approaches and computational analysis methods to interpret different datasets. We can also aid in the discovery of new cancer subgroups and biomarkers. In addition, we have multiple resources including academic research and preclinical works in the identification of a suitable disease target and its corresponding hit.

Systems Biology Approach to Identify Novel Drug Targets for Retinopathy

• Analysis of transcriptomics data retrieved from Gene Expression Omnibus Dataset repository (GEO) datasets with an enrichment-information approach.
• Analysis of complex gene-pathway and drug-gene networks related with inflammation, fibrosis and G protein-coupled receptors that are potentially involved in development of the disease.

Integrative Computational Approach to Reveal Genes Associated with Retinopathy

• Obtain and process the data of gene expression profiling, gene methylation profiling, and miRNA expression profiling from Gene Expression Omnibus (GEO) datasets.
• Determine specific and overlapping genes and miRNAs using online software Draw Venn Diagram.
• Use Search Tool for the Retrieval of Interacting Genes (STRING) to construct the interaction network between potential candidate genes with sources of interactions including experiments, databases, text mining, co-occurrence, co-expression, and protein homology.
• Gene ontology (GO) analysis provides various biological processes, molecular functions, and sub-cellular localization of genes.
• Perform gene enrichment analysis and KEGG pathways analysis using Gene Ontology Resource (GOR) and Database for Annotation Visualization and Integrated Discovery (DAVID).