Biology subjects

Haas, J.

Publications and source records attributed to Haas, J..

3 recordsLinked to original sources

bioRxiv2017

Electrical synapses between inhibitory neurons shape the responses of principal neurons to transient inputs in the thalamus

As multimodal sensory information proceeds to the cortex, it is intercepted and processed by the nuclei of the thalamus. The main source of inhibition within thalamus is the reticular nucleus (TRN), which collects signals both from thalamocortical relay neurons and from thalamocortical feedback. Within the reticular nucleus, neurons are densely interconnected by connexin36-based gap junctions, known as electrical synapses. Electrical synapses have been shown to coordinate neuronal rhythms, including thalamocortical spindle rhythms, but their role in shaping or modulating transient activity is less understood. We constructed a four-cell model of thalamic relay and TRN neurons, and used it to investigate the impact of electrical synapses on closely timed inputs delivered to thalamic relay cells. We show that the electrical synapses of the TRN assist cortical discrimination of these inputs through effects of truncation, delay or inhibition of thalamic spike trains. We expect that these are principles whereby electrical synapses play similar roles in processing of transient activity in excitatory neurons across the brain.

neuroscience↗

bioRxiv2017

Lessons Learned: Recommendations for Establishing Critical Periodic Scientific Benchmarking

The dependence of life scientists on software has steadily grown in recent years. For many tasks, researchers have to decide which of the available bioinformatics software are more suitable for their specific needs. Additionally researchers should be able to objectively select the software that provides the highest accuracy, the best efficiency and the highest level of reproducibility when integrated in their research projects.\n\nCritical benchmarking of bioinformatics methods, tools and web services is therefore an essential community service, as well as a critical component of reproducibility efforts. Unbiased and objective evaluations are challenging to set up and can only be effective when built and implemented around community driven efforts, as demonstrated by the many ongoing community challenges in bioinformatics that followed the success of CASP. Community challenges bring the combined benefits of intense collaboration, transparency and standard harmonization. Only open systems for the continuous evaluation of methods offer a perfect complement to community challenges, offering to larger communities of users that could extend far beyond the community of developers, a window to the developments status that they can use for their specific projects. We understand by continuous evaluation systems as those services which are always available and periodically update their data and/or metrics according to a predefined schedule keeping in mind that the performance has to be always seen in terms of each research domain.\n\nWe argue here that technology is now mature to bring community driven benchmarking efforts to a higher level that should allow effective interoperability of benchmarks across related methods. New technological developments allow overcoming the limitations of the first experiences on online benchmarking e.g. EVA. We therefore describe OpenEBench, a novel infra-structure designed to establish a continuous automated benchmarking system for bioinformatics methods, tools and web services.\n\nOpenEBench is being developed so as to cater for the needs of the bioinformatics community, especially software developers who need an objective and quantitative way to inform their decisions as well as the larger community of end-users, in their search for unbiased and up-to-date evaluation of bioinformatics methods. As such OpenEBench should soon become a central place for bioinformatics software developers, community-driven benchmarking initiatives, researchers using bioinformatics methods, and funders interested in the result of methods evaluation.

bioinformatics↗

bioRxiv2017

Spatial and temporal control of norovirus protease activity is determined by polyprotein processing and intermolecular interactions within the viral replication complex.

Norovirus infections are a major cause of acute viral gastroenteritis and a significant burden to human health globally. A vital process for norovirus replication is the processing of the nonstructural polyprotein, by an internal protease, into the necessary viral components required to form the viral replication complex. This cleavage occurs at different rates resulting in the accumulation of stable precursor forms. In this report, we characterized how precursor forms of the norovirus protease accumulate during infection. Using stable forms of the protease precursors we demonstrated that these are all proteolytically active in vitro, but that when expressed in cells, activity is determined by both substrate and protease localization. Whilst all precursors could cleave a replication complex-associated substrate, only a subset of precursors lacking NS4 were capable of efficiently cleaving a cytoplasmic substrate. For the first time, the full range of protein-protein interactions between murine and human norovirus proteins were mapped by LUMIER assay, with conserved interactions between replication complex members, modifying the localization of a subset of precursors. Finally, we demonstrate that re-targeting of a poorly cleaved artificial cytoplasmic substrate to the replication complex is sufficient to permit efficient cleavage in the context of norovirus infection. This offers a model for how norovirus can regulate the timing of substrate cleavage throughout the replication cycle. The norovirus protease represents a key target in the search for effective antiviral treatments for norovirus infection. An improved understanding of protease function and regulation, as well as identification of interactions between the other non-structural proteins, offers new avenues for antiviral drug design.

microbiology↗