Identification of novel candidate indicators for assessing zinc status during pregnancy in mice from microarray data.

ABSTRACT:

Background

This study aimed to identify potential zinc status indicators and to clarify the mechanisms underlying zinc deficiency-induced organ damage and mortality in mice.

Methods

The dataset GSE97112, including placental tissues of mice fed diets containing normal and low concentrations of zinc, was downloaded and preprocessed. Differentially expressed genes (DEGs) were calculated and identified for zinc deficiency-related gene clusters by using the weighed gene co-expression network analysis (WGCNA) algorithm. The Gene Ontology (GO)-Biological Process (BP) and KEGG pathway of genes in the zinc deficiency-related WGCNA modules were analyzed, and the protein-protein interaction (PPI) network was constructed. In addition, modules of the PPI network were identified, and tran

SUBMITTER: Xu W 

PROVIDER: S-EPMC6377758 | biostudies-literature | 2019 Feb

REPOSITORIES: biostudies-literature