Biomedical subjects

Michael Maurer

Publications and source records attributed to Michael Maurer.

9 recordsLinked to original sources

PubMed2006

Versatile modeling and optimization of fed batch processes for the production of secreted heterologous proteins with Pichia pastoris.

BACKGROUND: Secretion of heterologous proteins depends both on biomass concentration and on the specific product secretion rate, which in turn is not constant at varying specific growth rates. As fed batch processes usually do not maintain a steady state throughout the feed phase, it is not trivial to model and optimize such a process by mathematical means. RESULTS: We have developed a model for product accumulation in fed batch based on iterative calculation in Microsoft Excel spreadsheets, and used the Solver software to optimize the time course of the media feed in order to maximize the volumetric productivity. The optimum feed phase consisted of an exponential feed at maximum specific growth rate, followed by a phase with linearly increasing feed rate and consequently steadily decreasing specific growth rate. The latter phase could be modeled also by exact mathematical treatment by the calculus of variations, yielding the explicit shape of the growth function, however, with certain indeterminate parameters. To evaluate the latter, one needs a numerical optimum search algorithm. The explicit shape of the growth function provides additional evidence that the Excel model results in correct data. Experimental evaluation in two independent fed batch cultures resulted in a good correlation to the optimized model data, and a 2.2 fold improvement of the volumetric productivity. CONCLUSION: The advantages of the procedure we describe here are the ease of use and the flexibility, applying software familiar to every scientist and engineer, and rapid calculation which makes predictions extremely easy, so that many options can be tested in silico quickly. Additional options like further biological and technological constraints or different functions for specific productivity and biomass yield can easily be integrated.

Journal Article↗

PubMed2006

Engineering of Pichia pastoris for improved production of antibody fragments.

The methylotrophic yeast Pichia pastoris has been used for the expression of many proteins, including antibody fragments. However, limitations became obvious especially when secreting heterodimeric Fab fragments. Up-to-date, antibody fragments have only been expressed under control of the strong inducible alcohol oxidase 1 (AOX1) promoter, which may stress the cells by excessive transcription. Here, we examined the secretion characteristics of single chain and Fab fragments of two different monoclonal anti-HIV1 antibodies (2F5 and 2G12) with both the AOX1 and the glyceraldehyde-3-phosphate dehydrogenase (GAP) promoter. Also, the influences of different secretion leaders and strains were evaluated. Interestingly, secretion was only achieved when using the GAP promoter and the Saccharomyces cerevisiae mating factor alpha (MFalpha leader), whereas there was no difference between the two P. pastoris strains. During fed batch fermentation of a 2F5 Fab expressing strain, intracellular retention of Fab heavy chains was observed, while both intact Fab and single light chain molecules were only detected in the supernatants. This led to the conclusion that protein folding and heterodimer assembly in the ER are rate limiting steps in Fab secretion. To alleviate this limitation, S. cerevisiae protein disulfide isomerase (PDI) and the unfolded protein response (UPR) transcription factor HAC1 were constitutively overexpressed in P. pastoris. While the overexpression of HAC1 led to a moderate increase of Fab secretion of 1.3-fold, PDI enabled an increase of the Fab level by 1.9-fold. Hence, the formation of interchain disulfide bonds can be seen as a major rate limiting factor to Fab assembly and subsequent secretion.

Alcohol Oxidoreductases↗

PubMed2005

MARS: microarray analysis, retrieval, and storage system.

BACKGROUND: Microarray analysis has become a widely used technique for the study of gene-expression patterns on a genomic scale. As more and more laboratories are adopting microarray technology, there is a need for powerful and easy to use microarray databases facilitating array fabrication, labeling, hybridization, and data analysis. The wealth of data generated by this high throughput approach renders adequate database and analysis tools crucial for the pursuit of insights into the transcriptomic behavior of cells. RESULTS: MARS (Microarray Analysis and Retrieval System) provides a comprehensive MIAME supportive suite for storing, retrieving, and analyzing multi color microarray data. The system comprises a laboratory information management system (LIMS), a quality control management, as well as a sophisticated user management system. MARS is fully integrated into an analytical pipeline of microarray image analysis, normalization, gene expression clustering, and mapping of gene expression data onto biological pathways. The incorporation of ontologies and the use of MAGE-ML enables an export of studies stored in MARS to public repositories and other databases accepting these documents. CONCLUSION: We have developed an integrated system tailored to serve the specific needs of microarray based research projects using a unique fusion of Web based and standalone applications connected to the latest J2EE application server technology. The presented system is freely available for academic and non-profit institutions. More information can be found at http://genome.tugraz.at.

Algorithms↗

PubMed2005

Systems for the management of pharmacogenomic information.

Recent breakthroughs in biological research have been made possible by remarkable advances in high-performance computing and the establishment of a highly sophisticated information technology infrastructure. This chapter gives an overview of the main and most important technologies needed for the management of pharmacogenomic information, namely database management systems and software and hardware architectures. Because pharmacogenomics deals with a great many of public and/or proprietary data, the most prominent ways for easy storage, retrieval, analysis, and exchange are presented. Processing these data requires the use of sophisticated software architectures. Several most recent practices useful for a pharmacogenomic environment are explained. Multitiered application design and web services are discussed and described independent of the major enterprise development platforms. Because life sciences are becoming increasingly quantitative and because state-of-the-art software architectures use many system resources, this chapter presents the most recent and powerful systems for parallel data processing and data storage. Finally, shared and distributed memory systems and combinations of them as well as different storage architectures such as directly attached storage, network-attached storage, and storage-area network are explained in detail.

Animals↗

PubMed2004

Differential gene expression in recombinant Pichia pastoris analysed by heterologous DNA microarray hybridisation.

BACKGROUND: Pichia pastoris is a well established yeast host for heterologous protein expression, however, the physiological and genetic information about this yeast remains scanty. The lack of a published genome sequence renders DNA arrays unavailable, thereby hampering more global investigations of P. pastoris from the beginning. Here, we examine the suitability of Saccharomyces cerevisiae DNA microarrays for heterologous hybridisation with P. pastoris cDNA. RESULTS: We could show that it is possible to obtain new and valuable information about transcriptomic regulation in P. pastoris by probing S. cerevisiae DNA microarrays. The number of positive signals was about 66 % as compared to homologous S. cerevisiae hybridisation, and both the signal intensities and gene regulations correlated with high significance between data obtained from P. pastoris and S. cerevisiae samples. The differential gene expression patterns upon shift from glycerol to methanol as carbon source were investigated in more detail. Downregulation of TCA cycle genes and a decrease of genes related to ribonucleotide and ribosome synthesis were among the major effects identified. CONCLUSIONS: We could successfully demonstrate that heterologous microarray hybridisations allow deep insights into the transcriptomic regulation processes of P. pastoris. The observed downregulation of TCA cycle and ribosomal synthesis genes correlates to a significantly lower specific growth rate during the methanol feed phase.

Journal Article↗

PubMed2004

GOLD.db: genomics of lipid-associated disorders database.

BACKGROUND: The GOLD.db (Genomics of Lipid-Associated Disorders Database) was developed to address the need for integrating disparate information on the function and properties of genes and their products that are particularly relevant to the biology, diagnosis management, treatment, and prevention of lipid-associated disorders. DESCRIPTION: The GOLD.db http://gold.tugraz.at provides a reference for pathways and information about the relevant genes and proteins in an efficiently organized way. The main focus was to provide biological pathways with image maps and visual pathway information for lipid metabolism and obesity-related research. This database provides also the possibility to map gene expression data individually to each pathway. Gene expression at different experimental conditions can be viewed sequentially in context of the pathway. Related large scale gene expression data sets were provided and can be searched for specific genes to integrate information regarding their expression levels in different studies and conditions. Analytic and data mining tools, reagents, protocols, references, and links to relevant genomic resources were included in the database. Finally, the usability of the database was demonstrated using an example about the regulation of Pten mRNA during adipocyte differentiation in the context of relevant pathways. CONCLUSIONS: The GOLD.db will be a valuable tool that allow researchers to efficiently analyze patterns of gene expression and to display them in a variety of useful and informative ways, allowing outside researchers to perform queries pertaining to gene expression results in the context of biological processes and pathways.

Adipocytes↗

PubMed2004

Effects of gene dosage, promoters, and substrates on unfolded protein stress of recombinant Pichia pastoris.

The expression of heterologous proteins may exert severe stress on the host cells at different levels. Depending on the specific features of the product, different steps may be rate-limiting. For the secretion of recombinant proteins from yeast cells, folding and disulfide bond formation were identified as rate-limiting in several cases and the induction of the chaperone BiP (binding protein) is described. During the development of Pichia pastoris strains secreting human trypsinogen, a severe limitation of the amount of secreted product was identified. Strains using either the AOX1 or the GAP promoter were compared at different gene copy numbers. With the constitutive GAP promoter, no effect on the expression level was observed, whereas with the inducible AOX1 promoter an increase of the copy number above two resulted in a decrease of expression. To identify whether part of the product remained in the cells, lysates were fractionated and significant amounts of the product were identified in the insoluble fraction containing the endoplasmic reticulum, while the soluble cytosolic fraction contained product only in clones using the GAP promoter. An increase of BiP was observed upon induction of expression, indicating that the intracellular product fraction exerts an unfolded protein response in the host cells. A strain using the GAP promoter was grown both on glucose and methanol and trypsinogen was identified in the insoluble fractions of both cultures, but only in the soluble fraction of the glucose grown cultures, indicating that the amounts and distribution of intracellularly retained product depends on the culture conditions, especially the carbon source.

Bioreactors↗

PubMed2003

Java editor for biological pathways.

SUMMARY: A visual Java-based tool for drawing and annotating biological pathways was developed. This tool integrates the possibilities of charting elements with different attributes (size, color, labels), drawing connections between elements in distinct characteristics (color, structure, width, arrows), as well as adding links to molecular biology databases, promoter sequences, information on the function of the genes or gene products, and references. It is easy to use and system independent. The result of the editing process is a PNG (portable network graphics) file for the images and XML (extended markup language) file for the appropriate links.

Documentation↗

PubMed2003

New trends in bioinformatics: from genome sequence to personalized medicine.

Molecular medicine requires the integration and analysis of genomic, molecular, cellular, as well as clinical data and it thus offers a remarkable set of challenges to bioinformatics. Bioinformatics nowadays has an essential role both, in deciphering genomic, transcriptomic, and proteomic data generated by high-throughput experimental technologies, and in organizing information gathered from traditional biology and medicine. The evolution of bioinformatics, which started with sequence analysis and has led to high-throughput whole genome or transcriptome annotation today, is now going to be directed towards recently emerging areas of integrative and translational genomics, and ultimately personalized medicine.Therefore considerable efforts are required to provide the necessary infrastructure for high-performance computing, sophisticated algorithms, advanced data management capabilities, and-most importantly-well trained and educated personnel to design, maintain and use these environments. This review outlines the most promising trends in bioinformatics, which may play a major role in the pursuit of future biological discoveries and medical applications.

Computational Biology↗