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Biology subjects

Meijer, A. H.

Publications and source records attributed to Meijer, A. H..

3 recordsLinked to original sources

The selective autophagy receptors Optineurin and p62 are both required for innate host defense against mycobacterial infection

Mycobacterial pathogens are the causative agents of chronic infectious diseases like tuberculosis and leprosy. Autophagy has recently emerged as an innate mechanism for defense against these intracellular pathogens. In vitro studies have shown that mycobacteria escaping from phagosomes into the cytosol are ubiquitinated and targeted by selective autophagy receptors. However, there is currently no in vivo evidence for the role of selective autophagy receptors in defense against mycobacteria, and the importance of autophagy in control of mycobacterial diseases remains controversial. Here we have used Mycobacterium marinum (Mm), which causes a tuberculosis-like disease in zebrafish, to investigate the function of two selective autophagy receptors, Optineurin (Optn) and SQSTM1 (p62), in host defense against a mycobacterial pathogen. To visualize the autophagy response to Mm in vivo, optn and p62 zebrafish mutant lines were generated in the background of a GFP-Lc3 autophagy reporter line. We found that loss-of-function mutation of optn or p62 reduces autophagic targeting of Mm, and increases susceptibility of the zebrafish host to Mm infection. Transient knockdown studies confirmed the requirement of both selective autophagy receptors for host resistance against Mm infection. For gain-of-function analysis, we overexpressed optn or p62 by mRNA injection and found this to increase the levels of GFP-Lc3 puncta in association with Mm and to reduce the Mm infection burden. Taken together, our results demonstrate that both Optineurin and p62 are required for autophagic host defense against mycobacterial infection and support that protection against tuberculosis disease may be achieved by therapeutic strategies that enhance selective autophagy.\n\nAuthor summaryTuberculosis is a serious infectious disease that claims over a million lives annually. Vaccination provides insufficient protection and the causative bacterial pathogen, Mycobacterium tuberculosis, is becoming increasingly resistant to antibiotic therapy. Therefore, there is an urgent need for novel therapeutic strategies. Besides searches for new antibiotics, considerable efforts are being made to identify drugs that improve the immune defenses of the infected host. One host defense pathway under investigation for therapeutic targeting is autophagy, a cellular housekeeping mechanism that can direct intracellular bacteria to degradation. However, evidence for the anti-mycobacterial function of autophagy is largely based on studies in cultured cells. Therefore, we set out to investigate anti-mycobacterial autophagy using zebrafish embryos, which develop hallmarks of tuberculosis following infection with Mycobacterium marinum. Using red-fluorescent mycobacteria and a green-fluorescent zebrafish autophagy reporter we could visualize the anti-mycobacterial autophagy response in a living host. We generated mutant and knockdown zebrafish for two selective autophagy receptors, Optineurin and p62, and found that these have reduced anti-bacterial autophagy and are more susceptible to tuberculosis. Moreover, we found that increased expression of these receptors enhances anti-bacterial autophagy and protects against tuberculosis. These results provide new evidence for the host-protective function of selective autophagy in tuberculosis.

immunology

Deep learning image recognition enables efficient genome editing in zebrafish by automated injections

One of the most popular techniques in zebrafish research is microinjection, as it is a rapid and efficient way to genetically manipulate early developing embryos, and to introduce microbes or tracers at larval stages.\n\nHere 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.\n\nIn 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 {micro}m 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.

molecular biology

Macrophage Il-1beta protects against mycobacterial infection downstream of Hif-1alpha in zebrafish

Drug resistant mycobacteria are a rising problem worldwide. There is an urgent need to understand the immune response to TB to identify host targets that, if targeted therapeutically, could be used to tackle these currently untreatable infections. Here, we use an Il-1{beta} fluorescent transgenic line to show that there is an early innate immune pro-inflammatory response to well-established zebrafish models of inflammation and Mycobacterium marinum (Mm) infection. We demonstrate that host-derived hypoxia signalling, mediated by the Hif-1 transcription factor, can prime macrophages with increased levels of Il-1{beta} in the absence of infection, upregulating neutrophil antimicrobial nitric oxide production, leading to greater protection against infection. Our data link Hif-1 to proinflammatory macrophage Il-1{beta} transcription in vivo during early mycobacterial infection and importantly highlight a host protective mechanism, via antimicrobial nitric oxide, that decreases disease outcomes and that could be targeted therapeutically to stimulate the innate immune response to better deal with infections.

immunology