Publications by authors named "J R L Klassen"

Unlabelled: Advances in DNA metabarcoding have greatly expanded our knowledge of microbial communities in recent years. Pipelines and parameters have been tested extensively for bacterial metabarcoding using the 16S rRNA gene and best practices are largely established. For fungal metabarcoding using the internal transcribed spacer (ITS) gene, however, only a few studies have considered how such pipelines and parameters can affect community prediction.

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Protein oligomerization regulates many critical physiological processes, and its dysregulation can contribute to dysfunction and diseases. Elucidating the assembly pathways and quantifying their underlying thermodynamic and kinetic parameters are crucial for a comprehensive understanding of biological processes and for advancing therapeutics targeting abnormal protein oligomerization. Established binding assays, with limited mass precision, often rely on simplified models for data interpretation.

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Article Synopsis
  • Sialic acid (Neu5Ac) is added to glycoconjugates by sialyltransferases (STs) using a specific donor molecule, CMP-β-d-Neu5Ac, while the only existing ST inhibitors are based on a modified form of sialic acid known as 3FNeu5Ac.
  • Researchers aimed to create a controlled process for generating 3FNeu5Ac using the enzyme sialic acid aldolase, but faced challenges with properly positioning the fluorine atom in the molecule.
  • They discovered a method using CMP-sialic acid synthetase that successfully produced CMP-3FNeu5Ac, leading to a novel compound (3FNeu5Ac-2
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Interactions between glycan-binding proteins (GBPs) and glycosphingolipids (GSLs) present in cell membranes are implicated in a wide range of biological processes. However, studying GSL binding is hindered by the paucity of purified GSLs and the weak affinities typical of monovalent GBP-GSL interactions. Native mass spectrometry (nMS) performed using soluble model membranes is a promising approach for the discovery of GBP ligands, but the detection of weak interactions remains challenging.

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Background: Pulmonary transit time (PTT) can be measured automatically from arterial input function (AIF) images of dual sequence first-pass perfusion imaging. PTT has been validated against invasive cardiac catheterisation correlating with both cardiac output and left ventricular filling pressure (both important prognostic markers in heart failure). We hypothesized that prolonged PTT is associated with clinical outcomes in patients with heart failure.

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