
doi: 10.1007/b93993
pmid: 15217155
New developments in the RNA analysis techniques now enable a comprehensive view on the bacterial physiology under bioprocess conditions. The DNA-chip technology allows a genome wide transcriptional profiling of bacterial cells, whose genome sequence is available. Although the analyses of microbial bioprocesses have still been somewhat limited to date, this technique has already been successfully applied in different laboratories for the investigation of stress responses of selected industrially relevant bacterial hosts. Transcriptome analyses in combination with high resolution two-dimensional polyacrylamide gel electrophoresis (2D-PAGE) and mass spectrometry have been extensively applied for the description of general and specific stress and starvation responses of Escherichia coli and Bacillus subtilis. The consideration of bacterial stress and starvation responses is of crucial importance for the successful establishment of an industrial large scale bioprocess. Stress genes can be used as marker genes in order to monitor the fitness of industrial bacterial hosts during fermentation processes. This chapter gives an overview of current RNA analysis techniques. The bacterial stress and starvation responses, which are of potential importance for industrial microbial bioprocesses are summarised.
Gene Expression Profiling, Cell Culture Techniques, Gene Expression Regulation, Bacterial, Protein Engineering, Adaptation, Physiological, Oxidative Stress, Genetic Enhancement, Bacterial Proteins, Species Specificity, Escherichia coli, Heat-Shock Response, Bacillus subtilis, Oligonucleotide Array Sequence Analysis
Gene Expression Profiling, Cell Culture Techniques, Gene Expression Regulation, Bacterial, Protein Engineering, Adaptation, Physiological, Oxidative Stress, Genetic Enhancement, Bacterial Proteins, Species Specificity, Escherichia coli, Heat-Shock Response, Bacillus subtilis, Oligonucleotide Array Sequence Analysis
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 20 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
