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Cell cycle gene expression networks discovered using systems biology: Significance in carcinogenesis
Author(s) -
Scott Robert E.,
Ghule Prachi N.,
Stein Janet L.,
Stein Gary S.
Publication year - 2015
Publication title -
journal of cellular physiology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.529
H-Index - 174
eISSN - 1097-4652
pISSN - 0021-9541
DOI - 10.1002/jcp.24990
Subject(s) - cell cycle , biology , carcinogenesis , mitosis , gene expression , cell growth , microbiology and biotechnology , gene , cell , gene regulatory network , genetics , computational biology
The early stages of carcinogenesis are linked to defects in the cell cycle. A series of cell cycle checkpoints are involved in this process. The G1/S checkpoint that serves to integrate the control of cell proliferation and differentiation is linked to carcinogenesis and the mitotic spindle checkpoint is associated with the development of chromosomal instability. This paper presents the outcome of systems biology studies designed to evaluate if networks of covariate cell cycle gene transcripts exist in proliferative mammalian tissues including mice, rats, and humans. The GeneNetwork website that contains numerous gene expression datasets from different species, sexes, and tissues represents the foundational resource for these studies ( www.genenetwork.org ). In addition, WebGestalt, a gene ontology tool, facilitated the identification of expression networks of genes that co‐vary with key cell cycle targets, especially Cdc20 and Plk1 ( www.bioinfo.vanderbilt.edu/webgestalt ). Cell cycle expression networks of such covariate mRNAs exist in multiple proliferative tissues including liver, lung, pituitary, adipose, and lymphoid tissues among others but not in brain or retina that have low proliferative potential. Sixty‐three covariate cell cycle gene transcripts (mRNAs) compose the average cell cycle network with P = e −13 to e −36 . Cell cycle expression networks show species, sex and tissue variability, and they are enriched in mRNA transcripts associated with mitosis, many of which are associated with chromosomal instability. J. Cell. Physiol. 230: 2533–2542, 2015. © 2015 Wiley Periodicals, Inc.