Environmental Microbiology · 2005 · 131 citations · 75 references
Life SciencesGeneticsMicrobiologyGene ExpressionTranscriptionTranscriptional RegulationBacterial Gene RegulationPolymerase Chain ReactionRna Polymerase RegulationRna TranscriptionTranscription FactorsTranscriptional Regulation In ProkaryotesGlobal Gene RegulationGlobal RegulationGlobal Regulatory NetworksGlobal Transcriptional ControlGlobal Transcriptional RegulationMicroarray AnalysisPseudomonas SpeciesSigma Factor Function
Bacterial transcriptional networks are built on a hierarchy of regulators, on top of which lie the components of the RNA polymerase (in particular the sigma factors) and the global control elements, which play a pivotal role. We have designed a genome-wide oligonucleotide-based DNA microarray for Pseudomonas putida KT2440. In combination with real-time reverse transcription polymerase chain reaction (RT-PCR), we have used it to analyse the expression pattern of the genes encoding the RNA polymerase subunits (the core enzyme and the 24 sigma factors), and various proteins involved in global regulation (Crc, Lrp, Fur, Anr, Fis, CsrA, IHF, HupA, HupB, HupN, BipA and several MvaT-like proteins), during the shift from exponential growth in rich medium into starvation and stress brought about by the entry into stationary phase. Expression of the genes encoding the RNA polymerase core and the vegetative sigma factor decreased in stationary phase, while that of sigma(S) increased. Data obtained for sigma(N), sigma(H), FliA and for the 19 extracytoplasmic function (ECF)-like sigma factors suggested that their mRNA levels change little upon entry into stationary phase. Expression of Crc, BipA, Fis, HupB, HupN and the MvaT-like protein PP3693 decreased in stationary phase, while that of HupA and the MvaT-like protein PP3765 increased significantly. Expression of IHF was indicative of post-transcriptional control. These results provide the first global study of the expression of the transcriptional machinery through the exponential stationary-phase shift in P. putida.
75
R: A Language and Environment for Statistical Computing
R Core Team · 2000 · 353K citations · Full text
Natural Sciences, Computer Science, Statistical Computing +10
Normalization of cDNA microarray data
Gordon K. Smyth · Methods · 2003 · 1.9K citations