Salmonella transcriptomics: relating regulons, stimulons and regulatory networks to the process of infection.
The advent of Salmonella transcriptomics has heralded a new era for gene expression analysis of this formidable intracellular pathogen. Increasing numbers of Salmonella transcriptomic datasets will contribute to the comprehensive definition of regulons, stimulons and regulatory networks. This task has highlighted the need for sophisticated computational techniques to describe regulatory interactions.
Thompson
Arthur
A
Molecular Microbiology Group, Institute of Food Research, Norwich Research Park, Norwich, NR4 7UA, UK. arthur.thompson@bbsrc.ac.uk
Rowley
Gary
G
Alston
Mark
M
Danino
Vittoria
V
Hinton
Jay C D
JC
D000222:Adaptation, Physiological / Q000235:genetics; D000818:Animals; D019295:Computational Biology / Q000379:methods; D020869:Gene Expression Profiling; D015964:Gene Expression Regulation, Bacterial; D006801:Humans; D020411:Oligonucleotide Array Sequence Analysis; D012329:RNA, Bacterial / Q000032:analysis; D012333:RNA, Messenger / Q000032:analysis; D018085:Regulon; D012475:Salmonella / Q000235:genetics*; D012480:Salmonella Infections / Q000382:microbiology*; D012481:Salmonella Infections, Animal / Q000382:microbiology; D014158:Transcription, Genetic
D012329:RNA, Bacterial; D012333:RNA, Messenger