Time course analysis of large-scale gene expression in incised muscle using correspondence analysis

ABSTRACT: The time course of wound healing or the estimation of wound age is one of the most important research subjects in forensic pathology. In this study, we obtained microarray data of incision injury samples of mouse skeletal muscle at 3 different time points post-injury (6, 12, and 24 h). To visualize the time course fluctuation in gene expression on a plot, and to examine large-scale data using various analytical methods, correspondence analysis (CA) was carried out on microarray data that was converted to a matrix (data type is fold change (FC) values) consisting of data of each time point (columns) by each gene (rows) as variables. Genes were successfully clustered based on the magnitude relationship of FC values of 3 time series with a CA plot, which effectively visualizes the data of time course experiments.

ORGANISM(S): Mus musculus

PROVIDER: GSE140517 | GEO | 2019/11/19

REPOSITORIES: GEO