scholarly journals Polynomial model approach for resynchronization analysis of cell-cycle gene expression data

2006 ◽  
Vol 22 (8) ◽  
pp. 959-966 ◽  
Author(s):  
Peng Qiu ◽  
Z. Jane Wang ◽  
K. J. Ray Liu
Keyword(s):  
Gene Expression ◽  
Cell Cycle ◽  
Gene Expression Data ◽  
Polynomial Model ◽  
Cell Cycle Gene ◽  
Expression Data ◽  
Cell Cycle Gene Expression ◽  
Model Approach

scholarly journals Bayesian Analysis of Cell Cycle Gene Expression Data

2009 ◽  
pp. 177-200 ◽  
Author(s):  
Chuan Zhou ◽  
Jon C. Wakefield ◽  
Linda L. Breeden ◽  
Marina Vannucci
Keyword(s):  
Gene Expression ◽  
Cell Cycle ◽  
Bayesian Analysis ◽  
Gene Expression Data ◽  
Cell Cycle Gene ◽  
Expression Data ◽  
Cell Cycle Gene Expression

scholarly journals Clustering and visualization approaches for human cell cycle gene expression data analysis

2008 ◽  
Vol 47 (1) ◽  
pp. 70-84 ◽  
Author(s):  
F. Napolitano ◽  
G. Raiconi ◽  
R. Tagliaferri ◽  
A. Ciaramella ◽  
A. Staiano ◽  
...  
Keyword(s):  
Gene Expression ◽  
Cell Cycle ◽  
Data Analysis ◽  
Gene Expression Data ◽  
Human Cell ◽  
Cell Cycle Gene ◽  
Expression Data ◽  
Gene Expression Data Analysis ◽  
Cell Cycle Gene Expression

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

2019 ◽  
Vol 30 (14) ◽  
pp. 1770-1779 ◽  
Author(s):  
Sarah A. Dabydeen ◽  
Arshad Desai ◽  
Debashis Sahoo
Keyword(s):  
Gene Expression ◽  
Cell Cycle ◽  
Gene Expression Data ◽  
Boolean Logic ◽  
Cell Cycle Gene ◽  
Data Sets ◽  
Expression Data ◽  
Cell Cycle Genes ◽  
Logic Approach ◽  
Definition Of

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 transition. In addition to highlighting conservation of cell cycle genes across large evolutionary distances, this approach identified contexts where well-studied genes known to act during the cell cycle are expressed and potentially acting in nondivision contexts. An accessible web platform enables a detailed exploration of the cell cycle gene lists generated using the Boolean logic approach. The methods employed are straightforward to extend to processes other than the cell cycle.

Ethanol alters cell cycle gene expression in human embryonic stem cells

2016 ◽  
Vol 01 (03) ◽  
pp. 201-208 ◽  
Author(s):  
Malini Krishnamoorthy ◽  
Brian Gerwe ◽  
Jamie Heimburg-Molinaro ◽  
Rachel Nash ◽  
Jagan Arumugham ◽  
...  
Keyword(s):  
Gene Expression ◽  
Cell Cycle ◽  
Stem Cells ◽  
Embryonic Stem Cells ◽  
Human Embryonic Stem Cells ◽  
Embryonic Stem ◽  
Cell Cycle Gene ◽  
Cell Cycle Gene Expression

scholarly journals Low phosphate signaling induces changes in cell cycle gene expression by increasing auxin sensitivity in the Arabidopsis root system

2009 ◽  
Vol 4 (8) ◽  
pp. 781-783 ◽  
Author(s):  
Claudia-Anahí Pérez-Torres ◽  
José López-Bucio ◽  
Luis Herrera Estrella
Keyword(s):  
Gene Expression ◽  
Cell Cycle ◽  
Root System ◽  
Cell Cycle Gene ◽  
Arabidopsis Root ◽  
Cell Cycle Gene Expression
Sign in / Sign up

Export Citation Format

Share Document