Unbiased Boolean analysis of public gene expression data for cell cycle gene identification.

ABSTRACT: Cell proliferation is essential for the development and maintenance of all organisms and is dysregulated in cancer. Using synchronized cells progressing through the cell cycle, pioneering microarray studies defined cell cycle genes based on cyclic variation in their expression. However, the concordance of the small number of synchronized cell studies has been limited, leading to discrepancies in definition of the transcriptionally regulated set of cell cycle genes within and between species. Here we present an informatics approach based on Boolean logic to identify cell cycle genes. This approach used the vast array of publicly available gene expression data sets to query similarity to CCNB1, which encodes the cyclin subunit of the Cdk1-cyclin B complex that triggers the G2-to-M tra

SUBMITTER: Dabydeen SA 

PROVIDER: S-EPMC6727750 | biostudies-literature | 2019 Jul

REPOSITORIES: biostudies-literature