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Biology subjects

Hamprecht, F.

Publications and source records attributed to Hamprecht, F..

3 recordsLinked to original sources

Insecticides can simultaneously target mosquito vectors and malaria parasites

Insecticide-based vector control remains the cornerstone of malaria prevention, averting approximately 1.2 billion cases between 2000 and 2025. These interventions primarily reduce transmission by killing mosquitoes; however, widespread reliance on a limited number of compounds has driven the emergence of insecticide resistance. This has prompted the development of new insecticides with novel modes of action. Notably, the pyrrole insecticide chlorfenapyr has been shown to affect both the mosquito vector and the malaria parasite, suggesting that compounds with dual activity could provide an additional strategy to suppress transmission. Here, we present a medium-throughput discovery pipeline that integrates in vitro Plasmodium sporozoite motility assays with machine-learning-based analysis, alongside in vivo exposure of infected Anopheles mosquitoes and quantification of parasite development. Screening 32 insecticidal chemistries identified five compounds that significantly impaired sporozoite motility, including three avermectin endectocides, the mitochondrial complex III inhibitor hydramethylnon, and tralopyril, the active form of chlorfenapyr. Several compounds transiently increased motility, indicating that parasite physiology is frequently influenced by insecticide exposure. In vivo exposure to abamectin reduced parasite numbers in both the haemolymph and salivary glands and impaired productive motility. Importantly, this inhibition was confirmed in Plasmodium falciparum-infected mosquitoes, where exposure significantly reduced salivary gland invasion. These findings reveal that parasite-directed activity among insecticides may be more common than previously appreciated and demonstrate a scalable approach to identify compounds capable of simultaneously killing mosquitoes and suppressing parasite transmission. Significance StatementVector control relies heavily on insecticides that kill mosquitoes, yet rising resistance threatens their effectiveness. Here we show that several insecticides also affect the malaria parasite itself. Using a scalable screening pipeline combining machine learning-assisted sporozoite motility analysis with mosquito infection assays, we found that 15% of tested insecticides significantly impaired parasite motility, including compounds with distinct modes of action. Among these hits, the avermectin abamectin reduced parasite dissemination in mosquitoes and limited salivary gland invasion in both Plasmodium berghei and the human malaria parasite P. falciparum. These findings reveal that parasite-directed activity among insecticides may be more widespread than expected and highlight the potential to develop vector control tools that simultaneously kill mosquitoes and block parasite transmission.

microbiology↗

A deep learning-based toolkit for 3D nuclei segmentation and quantitative analysis in cellular and tissue context

We present a new set of computational tools that enable accurate and widely applicable 3D segmentation of nuclei in various 3D digital organs. We developed a novel approach for ground truth generation and iterative training of 3D nuclear segmentation models, which we applied to popular CellPose, PlantSeg, and StarDist algorithms. We provide two high-quality models trained on plant nuclei that enable 3D segmentation of nuclei in datasets obtained from fixed or live samples, acquired from different plant and animal tissues, and stained with various nuclear stains or fluorescent protein-based nuclear reporters. We also share a diverse high-quality training dataset of about 10,000 nuclei. Furthermore, we advanced the MorphoGraphX analysis and visualization software by, among other things, providing a method for linking 3D segmented nuclei to their surrounding cells in 3D digital organs. We found that the nuclear-to-cell volume ratio varies between different ovule tissues and during the development of a tissue. Finally, we extended the PlantSeg 3D segmentation pipeline with a proofreading script that uses 3D segmented nuclei as seeds to correct cell segmentation errors in difficult-to-segment tissues. Summary StatementWe present computational tools that allow versatile and accurate 3D nuclear segmentation in plant organs, enable the analysis of cell-nucleus geometric relationships, and improve the accuracy of 3D cell segmentation.

plant biology↗

A digital 3D reference atlas reveals cellular growth patterns shaping the Arabidopsis ovule

A fundamental question in biology is how morphogenesis integrates the multitude of distinct processes that act at different scales, ranging from the molecular control of gene expression to cellular coordination in a tissue. Investigating morphogenesis of complex organs strongly benefits from three-dimensional representations of the organ under study. Here, we present a digital analysis of ovule development from Arabidopsis thaliana as a paradigm for a complex morphogenetic process. Using machine-learning-based image analysis we generated a three-dimensional atlas of ovule development with cellular resolution. It allows quantitative stage- and tissue-specific analysis of cellular patterns. Exploiting a fluorescent reporter enabled precise spatial determination of gene expression patterns, revealing subepidermal expression of WUSCHEL. Underlying the power of our approach, we found that primordium outgrowth progresses evenly, discovered a novel mode of forming a new cell layer, and detected a new function of INNER NO OUTER in restricting cell proliferation in the nucellus. Moreover, we identified two distinct subepidermal cell populations that make crucial contributions to ovule curvature. Our work demonstrates the expedience of a three-dimensional digital representation when studying the morphogenesis of an organ of complex cellular architecture and shape that eventually consists of 1,900 cells.

plant biology↗