System Level Meta-analysis of Microarray Datasets for Elucidation of Diabetes Mellitus Pathobiology.

ABSTRACT:

Background

Type 2 diabetes (T2D) is a common multi-factorial disease that is primarily ac-counted to ineffective insulin action in lowering blood glucose level and later escalates to impaired insu-lin secretion by pancreatic β cells. Deregulation in insulin signaling to its target organs is attributed to this disease phenotype. Various genome-wide microarray studies from multiple insulin responsive tis-sues have been conducted in past but due to inherent noise in microarray data and heterogeneity in dis-ease etiology; reproduction of prioritized pathways/genes is very low across various studies.

Objective

In this study, we aim to identify consensus signaling and metabolic pathways through system level meta-analysis of multiple expression-sets to elucidate T2D pathobiology.

SUBMITTER: Saxena A 

PROVIDER: S-EPMC5476948 | biostudies-literature | 2017 Jun

REPOSITORIES: biostudies-literature