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Dataset Information

Profiling Cellular Processes in Adipose Tissue during Weight Loss Using Time Series Gene Expression.


ABSTRACT: Obesity is a global epidemic identified as a major risk factor for multiple chronic diseases and, consequently, diet-induced weight loss is used to counter obesity. The adipose tissue is the primary tissue affected in diet-induced weight loss, yet the underlying molecular mechanisms and changes are not completely deciphered. In this study, we present a network biology analysis workflow which enables the profiling of the cellular processes affected by weight loss in the subcutaneous adipose tissue. Time series gene expression data from a dietary intervention dataset with two diets was analysed. Differentially expressed genes were used to generate co-expression networks using a method that capitalises on the repeat measurements in the data and finds correlations between gene expression chang

SUBMITTER: Tareen SHK 

PROVIDER: S-EPMC6266822 | biostudies-literature | 2018 Oct

REPOSITORIES: biostudies-literature