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Holger Ottleben

Publications and source records attributed to Holger Ottleben.

2 recordsLinked to original sources

Large-scale protein expression for proteome research.

Access to pure and soluble recombinant proteins is essential for numerous applications in proteome research, such as the production of antibodies, structural characterization of proteins, and protein microarrays. Through the German cDNA Consortium we have access to more than 1500 ORFs encoding uncharacterized proteins. Preparing a large number of recombinant proteins calls for the careful refinement and re-evaluation of protein purification tools. The expression and purification strategy should result in mg quantities of protein that can be employed in microarray-based assays. In addition, the experimental set-up should be robust enough to allow both automated protein expression screening and the production of the proteins on a mg scale. These requirements are best fulfilled by a bacterial expression system such as Escherichia coli. To develop an efficient expression strategy, 75 different ORFs were transferred into suitable expression vectors using the Gateway cloning system. Four different fusion tags (E. coli transcription-termination anti-termination factor (NusA), hexahistidine tag (6xHis), maltose binding protein (MBP) and GST) were analyzed for their effect on yield of induced fusion protein and its solubility, as determined at two different induction temperatures. Affinity-purified fusion proteins were confirmed by MALDI-TOF MS.

Amino Acid Sequence↗

Custom chemical microarray production and affinity fingerprinting for the S1 pocket of factor VIIa.

The goal of this study was to explore the applicability of surface plasmon resonance (SPR)-based fragment screening to identify compounds that bind to factor VIIa (FVIIa). Based on pharmacophore models virtual screening approaches, we selected fragments anticipated to have a reasonable chance of binding to the S1-binding pocket of FVIIa and immobilized these compounds on microarrays. In affinity fingerprinting experiments, a number of compounds were identified to be specifically interacting with FVIIa and shown to fall into four structural classes. The results demonstrate that the chemical microarray technology platform using SPR detection generates unique chemobiological information that is useful for de novo discovery and lead development and allows the detection of weak interactions with ligands of low molecular weight.

Chemistry, Pharmaceutical↗