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Background
The lytic cycle of the protozoan parasite \(Toxoplasma\) \(gondii\), which involves a brief sojourn in the extracellular space, is characterized by defined transcriptional profiles. For an obligate intracellular parasite that is shielded from the cytosolic host immune factors by a parasitophorous vacuole, the brief entry into the extracellular space is likely to exert enormous stress. Due to its role in cellular stress response, we hypothesize that translational control plays an important role in regulating gene expression in \(Toxoplasma\) during the lytic cycle. Unlike transcriptional profiles, insights into genome-wide translational profiles of \(Toxoplasma\) \(gondii\) are lacking.
Methods
We have performed genome-wide ribosome profiling, coupled with high throughput RNA sequencing, in intracellular and extracellular \(Toxoplasma\) \(gondii\) parasites to investigate translational control during the lytic cycle.
Results
Although differences in transcript abundance were mostly mirrored at the translational level, we observed significant differences in the abundance of ribosome footprints between the two parasite stages. Furthermore, our data suggest that mRNA translation in the parasite is potentially regulated by mRNA secondary structure and upstream open reading frames.
Conclusion
We show that most of the \(Toxoplasma\) genes that are dysregulated during the lytic cycle are translationally regulated.
Automatic image reconstruction is critical to cope with steadily increasing data from advanced microscopy. We describe here the Fiji macro 3D ART VeSElecT which we developed to study synaptic vesicles in electron tomograms. We apply this tool to quantify vesicle properties (i) in embryonic Danio rerio 4 and 8 days past fertilization (dpf) and (ii) to compare Caenorhabditis elegans N2 neuromuscular junctions (NMJ) wild-type and its septin mutant (unc-59(e261)). We demonstrate development-specific and mutant-specific changes in synaptic vesicle pools in both models. We confirm the functionality of our macro by applying our 3D ART VeSElecT on zebrafish NMJ showing smaller vesicles in 8 dpf embryos then 4 dpf, which was validated by manual reconstruction of the vesicle pool. Furthermore, we analyze the impact of C. elegans septin mutant unc-59(e261) on vesicle pool formation and vesicle size. Automated vesicle registration and characterization was implemented in Fiji as two macros (registration and measurement). This flexible arrangement allows in particular reducing false positives by an optional manual revision step. Preprocessing and contrast enhancement work on image-stacks of 1nm/pixel in x and y direction. Semi-automated cell selection was integrated. 3D ART VeSElecT removes interfering components, detects vesicles by 3D segmentation and calculates vesicle volume and diameter (spherical approximation, inner/outer diameter). Results are collected in color using the RoiManager plugin including the possibility of manual removal of non-matching confounder vesicles. Detailed evaluation considered performance (detected vesicles) and specificity (true vesicles) as well as precision and recall. We furthermore show gain in segmentation and morphological filtering compared to learning based methods and a large time gain compared to manual segmentation. 3D ART VeSElecT shows small error rates and its speed gain can be up to 68 times faster in comparison to manual annotation. Both automatic and semi-automatic modes are explained including a tutorial.
Platelet activation and adhesion results in thrombus formation that is essential for normal hemostasis, but can also cause irreversible vessel occlusion leading to myocardial infarction or stroke. The C-type lectin-like receptor 2 (CLEC-2) was recently identified to be expressed on the platelet surface, however, a role for this receptor in hemostasis and thrombosis had not been demonstrated. In the current study, the involvement of CLEC-2 in platelet function and thrombus formation was investigated using mice as a model system. In the first part of the thesis, it was found that treatment of mice with a newly generated monoclonal antibody against murine CLEC-2 (INU1) led to the complete and highly specific loss of the receptor in circulating platelets (a process termed “immunodepletion”). CLEC-2-deficient platelets were completely unresponsive to the CLEC-2-specific agonist rhodocytin, whereas activation induced by all other tested agonists was unaltered. This selective defect translated into severely decreased platelet aggregate formation under flow ex vivo; and in vivo thrombosis models revealed impaired stabilization of formed thrombi with enhanced embolization. Consequently, CLEC-2 deficiency profoundly protected mice from occlusive arterial thrombus formation. Furthermore, variable bleeding times in INU1-treated mice indicated a moderate hemostatic defect. This reveals for the first time that CLEC-2 significantly contributes to thrombus stability in vitro and in vivo and plays a crucial role in hemostasis and arterial thrombosis. Thus, CLEC-2 represents a potential novel anti-thrombotic target that can be functionally inactivated in vivo. This in vivo down-regulation of platelet surface receptors might be a promising approach for future anti-thrombotic therapy. The second part of the work investigated the effect of double-immunodepletion of the immunoreceptor tyrosine-based activation motif (ITAM)- and hemITAM-coupled receptors, platelet glycoprotein (GP) VI and CLEC-2, on hemostasis and thrombosis using a combination of the GPVI- and CLEC-2-specific antibodies, JAQ1 and INU1, respectively. Isolated targeting of either GPVI or CLEC-2 in vivo did not affect expression or function of the respective other receptor. However, simultaneous treatment with both antibodies resulted in the sustained loss of GPVI and CLEC-2 signaling in platelets, while leaving other activation pathways intact. In contrast to single deficiency of either receptor, GPVI/CLEC-2 double-deficient mice displayed a dramatic hemostatic defect. Furthermore, this treatment resulted in profound impairment of arterial thrombus formation that far exceeded the effects seen in single-depleted animals. Importantly, similar results were obtained in Gp6-/- mice that were depleted of CLEC-2 by INU1-treatment, demonstrating that this severe bleeding phenotype was not caused by secondary effects of combined antibody treatment. These data suggest that GPVI and CLEC-2 can be independently or simultaneously down-regulated in platelets in vivo and reveal an unexpected functional redundancy of the two receptors in hemostasis and thrombosis. Since GPVI and CLEC-2 have intensively been discussed as potential anti-thrombotic targets, these results may have important implications for the development of novel, yet save anti-GPVI or anti-CLEC-2-based therapies.
Epicardium-derived cells (EPDC) and atrial stromal cells (ASC) display cardio-regenerative potential, but the molecular details are still unexplored. Signals which induce activation, migration and differentiation of these cells are largely unknown. Here we have isolated rat ventricular EPDC and rat/human ASC and performed genetic and proteomic profiling. EPDC and ASC expressed epicardial/mesenchymal markers (WT-1, Tbx18, CD73,CD90, CD44, CD105), cardiac markers (Gata4, Tbx5, troponin T) and also contained phosphocreatine. We used cell surface biotinylation to isolate plasma membrane proteins of rEPDC and hASC, Nano-liquid chromatography with subsequent mass spectrometry and bioinformatics analysis identified 396 rat and 239 human plasma membrane proteins with 149 overlapping proteins. Functional GO-term analysis revealed several significantly enriched categories related to extracellular matrix (ECM), cell migration/differentiation, immunology or angiogenesis. We identified receptors for ephrin and growth factors (IGF, PDGF, EGF, anthrax toxin) known to be involved in cardiac repair and regeneration. Functional category enrichment identified clusters around integrins, PI3K/Akt-signaling and various cardiomyopathies. Our study indicates that EPDC and ASC have a similar molecular phenotype related to cardiac healing/regeneration. The cell surface proteome repository will help to further unravel the molecular details of their cardio-regenerative potential and their role in cardiac diseases.
Microorganisms, particularly parasites, have developed sophisticated swimming mechanisms to cope with a varied range of environments. African Trypanosomes, causative agents of fatal illness in humans and animals, use an insect vector (the Tsetse fly) to infect mammals, involving many developmental changes in which cell motility is of prime importance. Our studies reveal that differences in cell body shape are correlated with a diverse range of cell behaviors contributing to the directional motion of the cell. Straighter cells swim more directionally while cells that exhibit little net displacement appear to be more bent. Initiation of cell division, beginning with the emergence of a second flagellum at the base, correlates to directional persistence. Cell trajectory and rapid body fluctuation correlation analysis uncovers two characteristic relaxation times: a short relaxation time due to strong body distortions in the range of 20 to 80 ms and a longer time associated with the persistence in average swimming direction in the order of 15 seconds. Different motility modes, possibly resulting from varying body stiffness, could be of consequence for host invasion during distinct infective stages.
Enormous amounts of data are being generated by modern methods such as transcriptome or exome sequencing and microarray profiling. Primary analyses such as quality control, normalization, statistics and mapping are highly complex and need to be performed by specialists. Thereafter, results are handed back to biomedical researchers, who are then confronted with complicated data lists. For rather simple tasks like data filtering, sorting and cross-association there is a need for new tools which can be used by non-specialists. Here, we describe CrossQuery, a web tool that enables straight forward, simple syntax queries to be executed on transcriptome sequencing and microarray datasets. We provide deep-sequencing data sets of stem cell lines derived from the model fish Medaka and microarray data of human endothelial cells. In the example datasets provided, mRNA expression levels, gene, transcript and sample identification numbers, GO-terms and gene descriptions can be freely correlated, filtered and sorted. Queries can be saved for later reuse and results can be exported to standard formats that allow copy-and-paste to all widespread data visualization tools such as Microsoft Excel. CrossQuery enables researchers to quickly and freely work with transcriptome and microarray data sets requiring only minimal computer skills. Furthermore, CrossQuery allows growing association of multiple datasets as long as at least one common point of correlated information, such as transcript identification numbers or GO-terms, is shared between samples. For advanced users, the object-oriented plug-in and event-driven code design of both server-side and client-side scripts allow easy addition of new features, data sources and data types.