Professor Christopher Overall was appointed a Tier 1 Canada Research Chair in Protease Proteomics and Systems Biology (2001) and an Honorary Professor Albert-Ludwigs Universität Freiburg, Germany (2014–) after being a Senior Fellow of the Freiburg Institute of Advanced Studies, Albert-Ludwigs Universität Freiburg, Germany (2010–2013). He was inducted as a fellow into the Royal Society of Canada, Academy of Science in 2018. He is best known for his development of proteomic methodology for the ...

Research scientist in multi-Omics, molecular (cell)biology and bioinformatics.

My research is intended to contribute to the elucidation of the physiological and molecular processes involved in the biofilm formation of acidophilic leaching bacteria with emphasis in their cell-cell communication mechanisms. In SysMetEx, our role is to understand biofilm formation at a microscopical and OMICS levels, in order to optimize it.

Post doc. in the SysMO-LAB2 project from August 2010. I work at Nofima and the Norwegian University of Life Sciences (UMB) at Ås, Norway. My focus in SysMO-LAB2 will be on four Lactobacillus plantarum strains, diversity analysis, omics-technologies, genome scale modelling.

Background: Ph.D. in Molecular Microbiology June 2010, where I worked with Lactobacillus sakei, metabolism and diversity studies.

I am a Postdoc at Keith Matthews lab in the Institute of Immunology and Infection Research, Edinburgh University. As part of the SilicoTryp project we are in charge of performing Targeted disruption and Overexpression of critical enzymes of Trypanosoma brucei redox metabolism enzymes and developmental perturbations to provide part of the necessary data for the construction of the model. Also generate consistent samples, so that data can be integrated and quantification results are guarateed to ...

Professor of Microbiology

I started to work with B. subtilis during my diploma thesis in Marburg, analyzing the gene expression pattern during sporulation and their control by the four sporulation sigma factors. This work was continued during my PhD thesis in Greifswald. In collaboration with Prof. Bremer and Prof. Marahiel in Marburg we also studied additional adaptation processes of B. subtilis, like the adaptation to low temperatur and high osmolarity. I am now working as a staff scientist in Prof. Völkers lab in ...

Postdoctoral Research fellow with experience in Genomics, transcriptomics, proteomics and metabolomics

I'm Post-Doc in the lab of Prof. Becher at the University of Greifswald. I'm working on the relative and absolute protein quantitation using gel-based and mass-spectrometric methods.

Optimisation of Bacillus subtilis for the secretion of heterologous proteins Therapeutic proteins (including those required for experimental purposes and clinical trials) are major products of biomanufacturing processes and considerable time and expense are expended to maximise the yield and quality of proteins produced in heterologous hosts. The production host of choice is the Gram-negative bacterium Escherichia coli for which many strains and expression systems have been developed. However, ...

My research activities has been to use mathematical models and Computational Biology to answer biological questions, intertwining in silico and experimental methods at all stages. I have a strong interest in exploring the interfaces between Fundamental Biology and bona fide Engineering, specifically in the realm of environmental and industrial problems. The research goals of my group are to contribute to the elucidation of mechanisms underlying basic cellular processes, evolution and ecological ...

I am PhD student at Prof.Uwe Voelker lab in Department of Functional Genomics. My area of research is microbial functional genomics in particular analysing the whole transcriptome(by microarray and other molecular biolology methods) of B.subtilis under various stress conditions. I use QconCAT strategy for absolute quantification of carbon metabolic enzymes via MRM(multiple reaction monitoring) by LC-MS/MS. I also perofrm experiments for understanding of dynamics of SigmaB network for modelling.