scholarly journals Visualizing trypanosomes in a vertebrate host reveals novel swimming behaviours, adaptations and attachment mechanisms

eLife ◽  
2019 ◽  
Vol 8 ◽  
Author(s):  
Éva Dóró ◽  
Sem H Jacobs ◽  
Ffion R Hammond ◽  
Henk Schipper ◽  
Remco PM Pieters ◽  
...  
Keyword(s):  
Temporal Resolution ◽  
Danio Rerio ◽  
Vertebrate Host ◽  
Swimming Behaviour ◽  
Infection Model ◽  
Host Environment ◽  
Spatio Temporal ◽  
Detailed Imaging ◽  
Important Disease

Trypanosomes are important disease agents of humans, livestock and cold-blooded species, including fish. The cellular morphology of trypanosomes is central to their motility, adaptation to the host’s environments and pathogenesis. However, visualizing the behaviour of trypanosomes resident in a live vertebrate host has remained unexplored. In this study, we describe an infection model of zebrafish (Danio rerio) with Trypanosoma carassii. By combining high spatio-temporal resolution microscopy with the transparency of live zebrafish, we describe in detail the swimming behaviour of trypanosomes in blood and tissues of a vertebrate host. Besides the conventional tumbling and directional swimming, T. carassii can change direction through a ‘whip-like’ motion or by swimming backward. Further, the posterior end can act as an anchoring site in vivo. To our knowledge, this is the first report of a vertebrate infection model that allows detailed imaging of trypanosome swimming behaviour in vivo in a natural host environment.

scholarly journals Removing independent noise in systems neuroscience data using DeepInterpolation

2020 ◽  
Author(s):  
Jérôme Lecoq ◽  
Michael Oliver ◽  
Joshua H. Siegle ◽  
Natalia Orlova ◽  
Christof Koch
Keyword(s):  
Temporal Resolution ◽  
Signal To Noise Ratio ◽  
Scientific Discovery ◽  
Fold Increase ◽  
General Purpose ◽  
Scientific Discipline ◽  
Missed Opportunities ◽  
Standard Data ◽  
Spatio Temporal

Progress in nearly every scientific discipline is hindered by the presence of independent noise in spatiotemporally structured datasets. Three widespread technologies for measuring neural activity—calcium imaging, extracellular electrophysiology, and fMRI—all operate in domains in which shot noise and/or thermal noise deteriorate the quality of measured physiological signals. Current denoising approaches sacrifice spatial and/or temporal resolution to increase the Signal-to-Noise Ratio of weak neuronal events, leading to missed opportunities for scientific discovery.Here, we introduce DeepInterpolation, a general-purpose denoising algorithm that trains a spatio-temporal nonlinear interpolation model using only noisy samples from the original raw data. Applying DeepInterpolation to in vivo two-photon Ca2+ imaging yields up to 6 times more segmented neuronal segments with a 15 fold increase in single pixel SNR, uncovering network dynamics at the single-trial level. In extracellular electrophysiology recordings, DeepInterpolation recovered 25% more high-quality spiking units compared to a standard data analysis pipeline. On fMRI datasets, DeepInterpolation increased the SNR of individual voxels 1.6-fold. All these improvements were attained without sacrificing spatial or temporal resolution.DeepInterpolation could well have a similar impact in other domains for which independent noise is present in experimental data.

scholarly journals Functional characterization of a full length pregnane X receptor, expression in vivo, and identification of PXR alleles, in Zebrafish (Danio rerio)

2013 ◽  
Vol 142-143 ◽  
pp. 447-457 ◽  
Author(s):  
Afonso C.D. Bainy ◽  
Akira Kubota ◽  
Jared V. Goldstone ◽  
Roger Lille-Langøy ◽  
Sibel I. Karchner ◽  
...  
Keyword(s):  
Danio Rerio ◽  
Functional Characterization ◽  
Pregnane X Receptor ◽  
Full Length ◽  
Receptor Expression

scholarly journals An infection-induced RhoB-Beclin 1-Hsp90 complex enhances clearance of uropathogenic Escherichia coli

2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Chunhui Miao ◽  
Mingyu Yu ◽  
Geng Pei ◽  
Zhenyi Ma ◽  
Lisong Zhang ◽  
...  
Keyword(s):  
Escherichia Coli ◽  
Treatment Strategies ◽  
Uropathogenic Escherichia Coli ◽  
Beclin 1 ◽  
Host Cells ◽  
Infection Model ◽  
Intracellular Bacteria ◽  
Bladder Epithelium ◽  
Binding Residue

AbstractHost cells use several anti-bacterial pathways to defend against pathogens. Here, using a uropathogenic Escherichia coli (UPEC) infection model, we demonstrate that bacterial infection upregulates RhoB, which subsequently promotes intracellular bacteria clearance by inducing LC3 lipidation and autophagosome formation. RhoB binds with Beclin 1 through its residues at 118 to 140 and the Beclin 1 CCD domain, with RhoB Arg133 being the key binding residue. Binding of RhoB to Beclin 1 enhances the Hsp90-Beclin 1 interaction, preventing Beclin 1 degradation. RhoB also directly interacts with Hsp90, maintaining RhoB levels. UPEC infections increase RhoB, Beclin 1 and LC3 levels in bladder epithelium in vivo, whereas Beclin 1 and LC3 levels as well as UPEC clearance are substantially reduced in RhoB+/− and RhoB−/− mice upon infection. We conclude that when stimulated by UPEC infections, host cells promote UPEC clearance through the RhoB-Beclin 1-HSP90 complex, indicating RhoB may be a useful target when developing UPEC treatment strategies.

scholarly journals Baicalin Represses Type Three Secretion System of Pseudomonas aeruginosa through PQS System

Molecules ◽  
2021 ◽  
Vol 26 (6) ◽  
pp. 1497
Author(s):  
Pansong Zhang ◽  
Qiao Guo ◽  
Zhihua Wei ◽  
Qin Yang ◽  
Zisheng Guo ◽  
...  
Keyword(s):  
Pseudomonas Aeruginosa ◽  
Virulence Factors ◽  
Mammalian Cells ◽  
Secretion System ◽  
Chinese Herbs ◽  
Infection Model ◽  
Lung Pathology ◽  
Promising Alternative ◽  
The Impact

Therapeutics that target the virulence of pathogens rather than their viability offer a promising alternative for treating infectious diseases and circumventing antibiotic resistance. In this study, we searched for anti-virulence compounds against Pseudomonas aeruginosa from Chinese herbs and investigated baicalin from Scutellariae radix as such an active anti-virulence compound. The effect of baicalin on a range of important virulence factors in P. aeruginosa was assessed using luxCDABE-based reporters and by phenotypical assays. The molecular mechanism of the virulence inhibition by baicalin was investigated using genetic approaches. The impact of baicalin on P. aeruginosa pathogenicity was evaluated by both in vitro assays and in vivo animal models. The results show that baicalin diminished a plenty of important virulence factors in P. aeruginosa, including the Type III secretion system (T3SS). Baicalin treatment reduced the cellular toxicity of P. aeruginosa on the mammalian cells and attenuated in vivo pathogenicity in a Drosophila melanogaster infection model. In a rat pulmonary infection model, baicalin significantly reduced the severity of lung pathology and accelerated lung bacterial clearance. The PqsR of the Pseudomonas quinolone signal (PQS) system was found to be required for baicalin’s impact on T3SS. These findings indicate that baicalin is a promising therapeutic candidate for treating P. aeruginosa infections.

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