Novel algorithms reveal streptococcal transcriptomes and clues about undefined genes.

ABSTRACT: Bacteria-host interactions are dynamic processes, and understanding transcriptional responses that directly or indirectly regulate the expression of genes involved in initial infection stages would illuminate the molecular events that result in host colonization. We used oligonucleotide microarrays to monitor (in vitro) differential gene expression in group A streptococci during pharyngeal cell adherence, the first overt infection stage. We present neighbor clustering, a new computational method for further analyzing bacterial microarray data that combines two informative characteristics of bacterial genes that share common function or regulation: (1) similar gene expression profiles (i.e., co-expression); and (2) physical proximity of genes on the chromosome. This method identifies statis

SUBMITTER: Ryan PA 

PROVIDER: S-EPMC1913099 | biostudies-literature | 2007 Jul

REPOSITORIES: biostudies-literature