New drugs for use as tuberculosis (TB) treatment are needed due to the constrains of classical antibiotics against TB and the rise of antibiotic-resistant strains, making TB a harder and harder... Show moreNew drugs for use as tuberculosis (TB) treatment are needed due to the constrains of classical antibiotics against TB and the rise of antibiotic-resistant strains, making TB a harder and harder disease to treat. This thesis is focused on using the in vivo whole animalzebrafish embryo model for TB to evaluate potential anti-TB host-directed therapeutics (HDTs) arising from in vitro screens. Although in vitro screens for HDTs using cellular models can be performed at high throughput, a limiting step is the validation in whole animal models and translation of results to clinical applications. Due to the complex infection dynamics of mycobacteria, the use of whole animal models is indispensable in research into TB and the zebrafish model has contributed key findings about host-pathogen dynamics during mycobacterial infection. One of the most promising host targets of HDTs is autophagy, which is recognized as an important host-protective pathway. Boosting autophagy levels using HDTs could be a way to overcome the pathogen’s autophagy evasion strategies and could therefore be a promising therapeutic route. For this thesis we took advantage of the possibilities of the zebrafish embryo model for TB and the zebrafish toolkit to study several autophagy-modulating HDTs as potential anti-TB drugs. Show less
Cordero-Maldonado, M.L.; Perathoner, S.; Kolk, K.J. van der; Boland, R.; Heins-Marroquin, U.; Spaink, H.P.; ... ; Sonneville, J. de 2019
One of the most popular techniques in zebrafish research is microinjection. This is a rapid and efficient way to genetically manipulate early developing embryos, and to introduce microbes, chemical... Show moreOne of the most popular techniques in zebrafish research is microinjection. This is a rapid and efficient way to genetically manipulate early developing embryos, and to introduce microbes, chemical compounds, nanoparticles or tracers at larval stages. Here we demonstrate the development of a machine learning software that allows for microinjection at a trained target site in zebrafish eggs at unprecedented speed. The software is based on the open-source deep-learning library Inception v3. In a first step, the software distinguishes wells containing embryos at one-cell stage from wells to be skipped with an accuracy of 93%. A second step was developed to pinpoint the injection site. Deep learning allows to predict this location on average within 42 μm to manually annotated sites. Using a Graphics Processing Unit (GPU), both steps together take less than 100 milliseconds. We first tested our system by injecting a morpholino into the middle of the yolk and found that the automated injection efficiency is as efficient as manual injection (~ 80%). Next, we tested both CRISPR/Cas9 and DNA construct injections into the zygote and obtained a comparable efficiency to that of an experienced experimentalist. Combined with a higher throughput, this results in a higher yield. Hence, the automated injection of CRISPR/Cas9 will allow high-throughput applications to knock out and knock in relevant genes to study their mechanisms or pathways of interest in diverse areas of biomedical research. Show less
