Bayesian Analysis of Cell-Cycle Gene Expression Data

The study of the cell-cycle is important in order to aid in our understanding of the basic mechanisms of life, yet progress has been slow due to the complexity of the process and our lack of ability to study it at high resolution. Recent advances in microarray technology have enabled scientists to study the gene expression at the genome-scale with a manageable cost, and there has been an increasing effort to identify cell-cycle regulated genes. In this chapter, we discuss the analysis of cell-cycle gene expression data, focusing on a model-based Bayesian approaches. The majority of the models we describe can be fitted using freely available software

Finding gene clusters for a replicated time course study

BACKGROUND: Finding genes that share similar expression patterns across samples is an important question that is frequently asked in high-throughput microarray studies. Traditional clustering algorithms such as K-means clustering and hierarchical clustering base gene clustering directly on the observed measurements and do not take into account the specific experimental design under which the microarray data were collected. A new model-based clustering method, the clustering of regression models method, takes into account the specific design of the microarray study and bases the clustering on how genes are related to sample covariates. It can find useful gene clusters for studies from complicated study designs such as replicated time course studies. FINDINGS: In this paper, we applied the clustering of regression models method to data from a time course study of yeast on two genotypes, wild type and YOX1 mutant, each with two technical replicates, and compared the clustering results with K-means clustering. We identified gene clusters that have similar expression patterns in wild type yeast, two of which were missed by K-means clustering. We further identified gene clusters whose expression patterns were changed in YOX1 mutant yeast compared to wild type yeast. CONCLUSIONS: The clustering of regression models method can be a valuable tool for identifying genes that are coordinately transcribed by a common mechanism

Rad53 Checkpoint Kinase Phosphorylation Site Preference Identified in the Swi6 Protein of Saccharomyces cerevisiae

Rad53 of Saccharomyces cerevisiae is a checkpoint kinase whose structure and function are conserved among eukaryotes. When a cell detects damaged DNA, Rad53 activity is dramatically increased, which ultimately leads to changes in DNA replication, repair, and cell division. Despite its central role in checkpoint signaling, little is known about Rad53 substrates or substrate specificity. A number of proteins are implicated as Rad53 substrates; however, the evidence remains indirect. Previously, we have provided evidence that Swi6, a subunit of the Swi4/Swi6 late-G(1)-specific transcriptional activator, is a substrate of Rad53 in the G(1)/S DNA damage checkpoint. In the present study we identify Rad53 phosphorylation sites in Swi6 in vitro and demonstrate that at least one of them is targeted by Rad53 in vivo. Mutations in these phosphorylation sites in Swi6 shorten but do not eliminate the Rad53-dependent delay of the G(1)-to-S transition after DNA damage. We derive a consensus for Rad53 site preference at positions −2 and +2 (−2/+2) and identify its potential substrates in the yeast proteome. Finally, we present evidence that one of these candidates, the cohesin complex subunit Scc1 undergoes DNA damage-dependent phosphorylation, which is in part dependent on Rad53

Characterization of the ECB Binding Complex Responsible for the M/G(1)-Specific Transcription of CLN3 and SWI4

The transcription factor Mcm1 is regulated by adjacent binding of a variety of different factors regulating the expression of cell-type-specific, cell cycle-specific, and metabolic genes. In this work, we investigate a new class of Mcm1-regulated promoters that are cell cycle regulated and peak in late M-early G(1) phase of the cell cycle via a promoter element referred to as an early cell cycle box (ECB). Gel filtration experiments indicate that the ECB-specific DNA binding complex is over 200 kDa in size and includes Mcm1 and at least one additional protein. Using DNase I footprinting in vitro, we have observed protection of the ECB elements from the CLN3, SWI4, CDC6, and CDC47 promoters, which includes protection of the 16-bp palindrome to which Mcm1 dimers are known to bind as well as protection of extended flanking sequences. These flanking sequences influence the stability and the variety of complexes that form on the ECB elements, and base substitutions in the protected flank affect transcriptional activity of the element. Chromatin immunoprecipitations show that Mcm1 binds in vivo to ECB elements throughout the cell cycle and that binding is sensitive to carbon source changes

Genetic Interactions Between Mediator and the Late G(1)-Specific Transcription Factor Swi6 in Saccharomyces cerevisiae

Swi6 associates with Swi4 to activate HO and many other late G(1)-specific transcripts in budding yeast. Genetic screens for suppressors of SWI6 mutants have been carried out. A total of 112 of these mutants have been identified and most fall into seven complementation groups. Six of these genes have been cloned and identified and they all encode subunits of the mediator complex. These mutants restore transcription to the HO-lacZ reporter in the absence of Swi6 and have variable effects on other Swi6 target genes. Deletions of other nonessential mediator components have been tested directly for suppression of, or genetic interaction with, swi6. Mutations in half of the known subunits of mediator show suppression and/or growth defects in combination with swi6. These phenotypes are highly variable and do not correlate with a specific module of the mediator. Mutations in tail module components sin4 and pgd1 showed both growth defects and suppression when combined with swi6, but a third tail component, gal11, showed neither. A truncated form of the essential Srb7 mediator subunit also suppresses swi6 mutations and shows a defect in recruitment of the tail module components Sin4, Pgd1, and Gal11 to the mediator complex