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Wollenhaupt, B.

Publications and source records attributed to Wollenhaupt, B..

4 recordsLinked to original sources

Spatiotemporal Dynamics of the Dihydrolipoyl Dehydrogenase LpdA Determine the Intrinsic Autofluorescence in Filamentous Actinobacteria

The hyphal nature of filamentous streptomycetes poses unique challenges to their multicellular lifestyle, since it requires organizing cellular functions at the scale of hundreds of micrometers length. Streptomycetes exhibit a strong and patchy autofluorescence of so far unknown origin in their hyphae that - as we demonstrate - is a natural property of filamentous actinobacteria. The foci are dynamic and evenly distributed throughout the hyphae, including the hyphal tips, where they are cell membrane-associated. Here, we resolved the high spatiotemporal dynamics of these foci during spore germination and vegetative growth in Streptomyces venezuelae. We isolated a fluorescent protein band and identified the responsible protein as dihydrolipoyl dehydrogenase LpdA. An lpdA deletion mutant lacked these fluorescent foci and showed minor deficiencies in growth and development. Heterologous LpdA production in E. coli and characterization of the enzyme verified that a flavin cofactor is responsible for the green autofluorescence. LpdA is highly conserved in actinomycetes as a part of multienzyme complexes involved in central metabolism. Such delocalized metabolic centers provide a potential solution to mycelial multicellular lifestyle, where diffusion becomes a major challenge.

microbiology↗

Magnetic Protein Aggregates Generated by Supramolecular Assembly of Ferritin Cages - A Modular Strategy for the Immobilization of Enzymes

Efficient and cost-effective immobilization methods are crucial for advancing the utilization of enzymes in industrial biocatalysis. To this end, in vivo immobilization methods relying on the completely biological production of immobilizates represent an interesting alternative to conventional carrier-based immobilization methods. In this contribution, we present a novel immobilization strategy utilizing in vivo produced, magnetic protein aggregates (MPAs). MPA production is facilitated by the expression of gene fusions consisting of genes encoding for the yellow fluorescent protein variant citrine and variants of the iron storage protein ferritin, including a magnetically enhanced ferritin mutant from Escherichia coli. Expression of the gene fusions allows supramolecular assembly of the fusion proteins in vivo, which is driven by citrine-dependent dimerization of ferritin cages. Upon cell lysis, the assemblies coalesce in solution to form MPAs. The fusion of the mutant E. coli ferritin to citrine yields fluorescent, insoluble protein aggregates that display magnetic properties, verified by their attraction to neodymium magnets. We further demonstrate that these novel, fully in vivo produced protein aggregates can be magnetically purified without the need for ex vivo iron-loading. Utilizing a bait/prey strategy, MPAs were functionalized by the post-translational attachment of an alcohol dehydrogenase to the MPA particles to enable proof-of-concept for enzyme immobilization, giving rise to catalytically-active magnetic protein aggregates (CatMPAs). The resulting (Cat)MPAs could easily be obtained from crude cell extracts via centrifugation, or purified using magnetic columns, and exhibited superior stability. The strategy presented here therefore represents a highly modular method to produce magnetic enzyme immobilizates which can be obtained with high purity.

biochemistry↗

ObiWan-Microbi: OMERO-based integrated workflow for annotating microbes in the cloud

SummaryReliable deep learning segmentation for microfluidic live-cell imaging requires comprehensive ground truth data. ObiWan-Microbi is a microservice platform combining the strength of state-of-the-art technologies into a unique integrated workflow for data management and efficient ground truth generation for instance segmentation, empowering collaborative semi-automated image annotation in the cloud. Availability and ImplementationObiWan-Microbi is open-source and available under the MIT license at https://github.com/hip-satomi/ObiWan-Microbi, along documentation and usage examples. Contactk.noeh@fz-juelich.de Supplementary informationSupplementary data are available online.

bioinformatics↗

microbeSEG: Accurate Cell Segmentation with OMERO Data Management

In biotechnology, cell growth is one of the most important properties for the characterization and optimization of microbial cultures. Novel live-cell imaging methods are leading to an ever better understanding of cell cultures and their development. The key to analyzing acquired data is accurate and automated cell segmentation at the single-cell level. Therefore, we present microbeSEG, a user-friendly Python-based cell segmentation tool with a graphical user interface and OMERO data management. microbeSEG utilizes a state-of-the-art deep learning-based segmentation method and can be used for instance segmentation of a wide range of cell morphologies and imaging techniques, e.g., phase contrast or fluorescence microscopy. The main focus of microbeSEG is a comprehensible, easy, efficient, and complete workflow from the creation of training data to the final application of the trained segmentation model. We demonstrate that accurate cell segmentation results can be obtained within 45 minutes of user time. Utilizing public segmentation datasets or pre-labeling further accelerates the microbeSEG workflow. This opens the door for accurate and efficient data analysis of microbial cultures.

bioinformatics↗