Biomedical subjects

Karl Bayer

Publications and source records attributed to Karl Bayer.

7 recordsLinked to original sources

PubMed2006

Improvement of bioprocess monitoring: development of novel concepts.

The advancement of bioprocess monitoring will play a crucial role to meet the future requirements of bioprocess technology. Major issues are the acceleration of process development to reduce the time to the market and to ensure optimal exploitation of the cell factory and further to cope with the requirements of the Process Analytical Technology initiative. Due to the enormous complexity of cellular systems and lack of appropriate sensor systems microbial production processes are still poorly understood. This holds generally true for the most microbial production processes, in particular for the recombinant protein production due to strong interaction between recombinant gene expression and host cell metabolism. Therefore, it is necessary to scrutinise the role of the different cellular compartments in the biosynthesis process in order to develop comprehensive process monitoring concepts by involving the most significant process variables and their interconnections. Although research for the development of novel sensor systems is progressing their applicability in bioprocessing is very limited with respect to on-line and in-situ measurement due to specific requirements of aseptic conditions, high number of analytes, drift, and often rather low physiological relevance. A comprehensive survey of the state of the art of bioprocess monitoring reveals that only a limited number of metabolic variables show a close correlation to the currently explored chemical/physical principles. In order to circumvent this unsatisfying situation mathematical methods are applied to uncover "hidden" information contained in the on-line data and thereby creating correlations to the multitude of highly specific biochemical off-line data. Modelling enables the continuous prediction of otherwise discrete off-line data whereby critical process states can be more easily detected. The challenging issue of this concept is to establish significant on-line and off-line data sets. In this context, online sensor systems are reviewed with respect to commercial availability in combination with the suitability of offline analytical measurement methods. In a case study, the aptitude of the concept to exploit easily available online data for prediction of complex process variables in a recombinant E. coli fed-batch cultivation aiming at the improvement of monitoring capabilities is demonstrated. In addition, the perspectives for model-based process supervision and process control are outlined.

Journal Article↗

PubMed2006

Using ColE1-derived RNA I for suppression of a bacterially encoded gene: implication for a novel plasmid addiction system.

The use of plasmid DNA for gene therapeutical purposes is a novel technology with advantages and drawbacks. One of the required improvements is to avoid antibiotic resistance genes or other additional sequences for selection within the plasmid. Here, we describe an alternative approach to equip a ColE1 plasmid with a regulatory function within the cell, which could be used for selection of plasmid carrying cells. No additional sequences are required, since the mechanism is based on RNA/RNA antisense interaction involving the naturally occurring RNA I derived from the plasmid's origin of replication. The plasmid replicational regulatory network was linked to the transcriptional regulatory network of an engineered target gene, present on the bacterial chromosome. Thus, gene suppression of a reporter could be achieved by mere presence of the ColE1-type plasmid pBR322. Proof of this concept was shown in shaker-flask experiments and fed-batch fermentation processes. The strategy of regulating gene expression by plasmid replication implicates a novel strategy for plasmid selection, as the gene to be suppressed could be toxic or growth hampering, providing advantage to plasmid carrying host cells.

Bacterial Proteins↗

PubMed2004

Evaluation of the GFP signal and its aptitude for novel on-line monitoring strategies of recombinant fermentation processes.

A high number of economically important recombinant proteins are produced in Escherichia coli based host/vector systems. The major obstacle for improving current processes is a lack of appropriate on-line in situ methods for the monitoring of metabolic burden and critical state variables. Here, a pre-evaluation of the reporter green fluorescent protein (GFP) was undertaken to assess its use as a reporter of stress associated promoter regulation. The investigation of GFP and its blue fluorescent variant BFP was done in model fermentations using E. coli HMS 174(DE3)/pET11 aGFPmut3.1 and E. coli HMS174(DE3)/pET1aBFP host/vector systems cultured in fed-batch and chemostat regime. Our results prove the suitability of the fluorescent reporter proteins for the design of new strategies of on-line bioprocess monitoring. GFPmut3.1 variant can be detected after a short lag-phase of only 10 min, it shows a high fluorescence yield in relation to the amount of reporter protein, a good signal to noise ratio and a low detection limit. The fluorescence-signal and the amount of fluorescent protein, determined by ELISA, showed a close correlation in all fermentations performed. A combination of reporter technology with state of the art sensors helps to develop new strategies for efficient on-line monitoring needed for industrial process optimisation. The development of efficient monitoring will contribute to advanced control of recombinant protein production and accelerate the development of optimised production processes.

Bioreactors↗

PubMed2003

Monitoring of protein profiles for the optimization of recombinant fermentation processes using public domain databases.

The expression of human superoxide dismutase in fed-batch fermentation of E. coli HMS174(DE3)(pET3ahSOD) was studied as model system. Due to the frequently used strong T7 promoter system a high metabolic load is exerted, which triggers stress response mechanisms and finally leads to the differentiation of the host cell. As a consequence, host cell metabolism is partly shifted from growth to survival accompanied by significant alterations of the protein pattern. In terms of process optimization two-dimensional electrophoresis deserves as a powerful tool to monitor these changes on protein level. For the analysis of samples derived from different states of recombinant protein production wide-range Immobiline Dry Strips pH 3-10 were used. In order to establish an efficient procedure for accelerated process optimization and to avoid costly and time-consuming analysis like mass spectrometry (MS), a database approach for the identification of significant changes of the protein pattern was evaluated. On average, 935 spots per gel were detected, whereby 50 are presumably stress-relevant. Out of these, 24 proteins could be identified by using the SWISS-2DPAGE database (www.expasy.ch/ch2d/). The identified proteins are involved in regulatory networks, energy metabolism, purine and pyrimidine nucleotide synthesis and translation. By this database approach, significant fluctuations of individual proteins in relation to recombinant protein production could be identified. Seven proteins show strong alterations (>100%) directly after induction and can therefore be stated as reliable marker proteins for the assessment of stress response. For distinctive interpretation of this highly specific information, a bioinformatic and statistic tool would be essential in order to perceive the role and contribution of individual proteins in stress response.

Databases, Protein↗

PubMed2002

Stabilizing plasmid copy number to improve recombinant protein production.

The key objective for recombinant protein production in bacteria is the maximum exploitation of the cell factory's potential, whereby often strong expression vectors are used to increase product yield. If the metabolic load caused by recombinant expression exceeds the host's capacity, the system exhausts itself, resulting in a loss of protein yield. Excessive plasmid replication is observed after inducing recombinant gene expression, which greatly contributes to metabolic overload of the host cell. The transcriptional and translational machineries are extremely overstrained. By abolishing sequence homology between ColE1 RNA I/RNA II and tRNAs, we were able to restore the plasmid's replication control mechanisms and to keep the plasmid copy number constant throughout the culture process, thereby prolonging metabolic activity and productivity of the bacterial expression system. Because the bacterial host cell is not being exploited beyond its tolerable potential with this method, the constancy of the plasmid copy number level throughout the whole period of the bioprocess provides novel strategies for bioprocess optimization.

Bacterial Proteins↗

PubMed2002

Impact of targeted vector design on Co/E1 plasmid replication.

The demands for recombinant proteins, in addition to plasmid DNA, for therapeutic use are steadily increasing. Bacterial fermentation processes have long been and still are the major tool for production of these molecules. The key objective of process optimization is to attain a high yield of the required quality, which is determined, to a large extent, by plasmid replication rates, metabolic capacity and the properties of the specific gene construct. When high copy number plasmids are used, the metabolic capacity of the host cell is often overstrained and efficient protein production is impaired. The plasmid copy number is the key parameter in the exploitation of the host cell, and can be maximized by optimal control of the flux ratios between biosynthesis of host cell proteins and recombinant proteins.

Bacterial Proteins↗

PubMedDate not supplied

Tuning the transcription rate of recombinant protein in strong Escherichia coli expression systems through repressor titration.

The main goal of this work was to develop a strategy that enables tuning of recombinant gene expression relative to the metabolic capacity of the host cell synthesis machinery. In the past, strong expression systems have been developed in order to maximize recombinant gene expression. However, these systems exert an extremely high metabolic burden onto the host cell, which may even lead to cell death. Hence, the period of recombinant gene expression is significantly reduced, and therefore, maximal yield cannot be attained. To extend the production phase and to achieve optimal yields, adjustment of recombinant gene expression by modulation of the transcription rate is required. To control transcription, we designed a feed regime, which continuously supplies limiting amounts of inducer in a constant ratio to biomass. For the accurate determination of appropriate amounts of inducer, a time shifted exponential substrate and inducer feed strategy has been developed. The potential of this metabolic and engineering integrated approach was proven in fed-batch cultivation experiments using E. coli HMS174(DE3)(pET11ahSOD) as model system. Furthermore, our strategy enables the use of lactose as inducer, since its consumption can be compensated by appropriate feed profiles. The attained results fully comply with all requirements of industrial large scale cultivation and improve the applicability of strong expression systems.

Adaptation, Physiological↗