Achieving high battery performance from low-cost, easily synthesisable electrode materials is crucial for advancing energy storage technologies. Metal organic frameworks (MOFs) combining inexpensive transition metals and organic ligands are promising candidates for high-capacity cathodes. Iron-chloranilate-water frameworks are herein reported to be produced in aqueous media under mild conditions.
View Article and Find Full Text PDFMetabolomics measures low molecular weight endogenous metabolites and changes linked to contaminant exposure in biota. Few studies have explored the relationship between metabolomics and contaminants in Arctic wildlife. We analyzed 239 endogenous metabolites and ∼150 persistent organic pollutants (POPs), including total mercury (THg), in the liver of polar bears and their ringed seal prey harvested from low Canadian Arctic (western Hudson Bay; WHB) and high Arctic (HA) locations during 2015-2016.
View Article and Find Full Text PDFMyelin loss induces neural dysfunction and contributes to the pathophysiology of neurodegenerative diseases, injury conditions, and aging. Because remyelination is often incomplete, better understanding endogenous remyelination and developing remyelination therapies that restore neural function are clinical imperatives. Here, we use in vivo two-photon microscopy and electrophysiology to study the dynamics of endogenous and therapeutic-induced cortical remyelination and functional recovery after cuprizone-mediated demyelination in mice.
View Article and Find Full Text PDFPre-transplantation HLA antibody testing is necessary to assess compatibility between donor and recipient pairs. Over the past decade, the virtual crossmatch (VXM) has replaced the physical crossmatch (PXM) as the main assessment of pre-transplant histocompatibility. At our center, most transplants have proceeded based solely on the VXM, followed by a retrospective PXM.
View Article and Find Full Text PDFTranscriptome-wide association studies (TWAS) investigate the links between genetically regulated gene expression and complex traits. TWAS involves imputing gene expression using expression quantitative trait loci (eQTL) as predictors and testing the association between the imputed expression and the trait. The effectiveness of TWAS depends on the accuracy of these imputation models, which require genotype and gene expression data from the same samples.
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