Dramatic tissue-specific mutation length increases are an early molecular event in Huntington disease pathogenesis

Huntington disease is caused by the expansion of a CAG repeat encoding an extended glutamine tract in a protein called huntingtin. Although the mutant protein is widely expressed, the earliest and most striking neuropathological changes are observed in the striatum. Here we show dramatic mutation length increases (gains of up to 1000 CAG repeats) in human striatal cells early in the disease course, most likely before the onset of pathological cell loss. Studies of knock-in HD mouse models indicate that the size of the initial CAG repeat mutation may influence both onset and tissue-specific patterns of age-dependent, expansion-biased mutation length variability. Given that CAG repeat length strongly correlates with clinical severity, we suggest that somatic increases of mutation length may play a major role in the progressive nature and cell-selective aspects of both adult-onset and juvenile-onset HD pathogenesis and we discuss the implications of this interpretation of the data presented

BioSimulators: A central registry of simulation engines and services for recommending specific tools.

Computational models have great potential to accelerate bioscience, bioengineering, and medicine. However, it remains challenging to reproduce and reuse simulations, in part, because the numerous formats and methods for simulating various subsystems and scales remain siloed by different software tools. For example, each tool must be executed through a distinct interface. To help investigators find and use simulation tools, we developed BioSimulators (https://biosimulators.org), a central registry of the capabilities of simulation tools and consistent Python, command-line and containerized interfaces to each version of each tool. The foundation of BioSimulators is standards, such as CellML, SBML, SED-ML and the COMBINE archive format, and validation tools for simulation projects and simulation tools that ensure these standards are used consistently. To help modelers find tools for particular projects, we have also used the registry to develop recommendation services. We anticipate that BioSimulators will help modelers exchange, reproduce, and combine simulations