Doctoral Thesis
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This thesis is about the establishment and the application of novel methods and tools that are re-lated to the most widely used enzyme class: hydrolases. It covers all fields from the identification to the application of these valuable enzymes with particular focus on lactonases, acylases and proteases. The activity assay introduced in Article I substantially extends the method toolbox for studies on lactonases and acylases that interfere with the bacterial cell-cell communication system. Article II describes a fully automatized robotic platform that represents the next-level tool for the high-throughput enzyme screening in the microtiter plate format. It was used, for instance, for the screening for improved porcine aminoacylase I variants. Diverse aspects of the protease-mediated hydrolysis of non-resistant proteins for the purification of resistant target proteins are highlighted in Article III.
Emerging zoonotic viruses are a constant threat to human and animal health. Therefore, knowledge about the host factors influencing viral pathogenicity is highly welcome as a basis for developing treatment or vaccine strategies. In order to identify host factors that potentially determine the
pathogenicity of three highly pathogenic (’high consequence’) zoonotic viruses, the interactomes of
selected viral proteins were analysed in parallel with the interactomes of the homologous proteins from closely related viruses which lack high pathogenicity. For this purpose, affinity purification mass spectrometry (AP-MS) was performed with the virus proteins as baits and lists of candidate proteins were generated that may determine the pathotype and warrant follow-up studies to characterise their function concerning the viral life cycles. In detail, the interactomes of virus pairs from the arenaviruses, filoviruses and henipaviruses were studied. The following protein homologues were selected: for filoviruses, the transcription factor VP30, the co-transcription factor VP35 and matrix protein VP40 of the non-pathogenic Reston virus
(RESTV, species Reston ebolavirus), the pathogenic Ebola virus (EBOV, species Zaire ebolavirus),
and, in addition, the Lloviu virus (LLOV, species Lloviu cuevavirus); in case of the arenaviruses
the nucleoprotein (NP), matrix protein (Z) and glycoprotein (GP) of the pathogenic Junín virus (JUNV, species Argentine mammarenavirus) and the non-pathogenic Tacaribe virus (TCRV, species Tacaribe mammarenavirus); and for the henipaviruses, the fusion protein F of the apathogenic Cedar virus (CedV, species Cedar henipavirus) and the pathogenic Nipah virus (NiV, species Nipah henipavirus). The experimental approach was to express the tagged bait proteins in human cells by transfection with appropriate constructs, purify the interactomes by affinity enrichment and analyse their protein content by MS. Quantitation was performed by labelling with stable isotopes or by label-free quantification (LFQ). High-confidence interactions for the LFQ approach were identified using the Mass Spectrometry interaction STatistics (MiST) scoring tool. Qualitative and quantitative data were used to identify a limited number of candidates for follow-up research. Additionally,
the interactomes were analysed with bioinformatical tools like term enrichment analysis and network analysis to identify cellular pathways which are possibly impacted by the expression of viral proteins. A novel specific interactor of EBOV VP30 was identified, ubiquitin carboxyl-terminal hydrolase7
(USP7, also known as HAUSP), and the interaction was partially characterised. The interaction was confirmed by reverse-pull-down experiments, and the Kd value (determined by Microscale Thermophoresis, MST) was found to be lower than for the interaction of USP7 with the RESTV VP30.
This work adds insight into virus protein interactomes, especially for the often neglected low pathogenic virus species. Furthermore, the pathogenicity of the viruses was refl ected to some degree
in the interactomes of their proteins. The generated interactome data for the different virus species
create a basis in the search for interactions that determine pathogenicity.
Understanding the fundamental mechanisms in the extracellular matrix of cells (ECM) is crucial for the development of drugs and biomaterials. Therefore, an atomistic model of the extracellular matrix is a cost-efficient way to observe influences of drugs, test the effect of mutations or misfolds in proteins or study the properties of fibril or network-forming peptides.
With this thesis, a refined molecular model of an adhesion complex is proposed that contains collagen, fibronectin and the cell receptor integrin. During the building of the model, major new insights are given for each of these proteins and a powerful protein-folding algorithm is
developed.