A Signal Processing Attempt to Identify Cell Division Cycle (CDC) m-RNAs Reveals Couplings with Other Cell Cycles

Mariusz L Zoltowski

Keywords

Bioinformatics and computational biology, cell cycle, phase-locking in biology and medicine

Abstract

Periodic expression patterns from microarray experiments with peaks in some mitotic stages have been considered for different species. It has been important to unravel transcriptional program advancing the cell cycle progression in aim that encompasses either combating disease or cognition of different cellular phenomena. Despite the high throughput in evaluating transcripts, microarray is not effective for lowly expressed genes and is sensitive to experimental conditions, de-synchronization of transcripts, cross-hybridization or other technical issues. To overcome these limitations a new signal processing method of a compensatory role has been devised to address CDC-regulated genes. By this method, the comparison results of the CDC m-RNAs from two different expression sets of microarray experiments are provided. While genes from previous such studies were poorly overlapped, herein an accord of ~80% has been gained. The obtained results conform to the coarse clustering approach. While trying to settle the specificity issue in the presence of a great number of periodic genes being detected the hypothesis on other categories of genes being in regular co-expression with the CDC regulated genes in experimental conditions could be confirmed. Namely, some metabolic and the Met-biosynthesis pathway m-RNAs have been found phase entrained with CDC thus indicating possible couplings.

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