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Biology subjects

Moss, D. S.

Publications and source records attributed to Moss, D. S..

2 recordsLinked to original sources

An Entropic Safety Catch Controls Hepatitis C Virus Entry and Antibody Resistance.

E1 and E2 (E1E2), the entry proteins of Hepatitis C Virus (HCV), are unlike that of any other virus yet described, and the detailed molecular mechanisms of HCV entry/fusion remain unknown. Hypervariable region-1 (HVR-1) of E2 is a putative intrinsically disordered protein tail. Here, we demonstrate that HVR-1 has an autoinhibitory function that suppresses the activity of E1E2 on free virions; this is dependent on its conformational entropy. Crucially, to allow entry, this mechanism is turned off by host receptor interactions at the cell surface. Thus, HVR-1 is akin to a safety catch on E1E2 activity. Mutations that reduce conformational entropy in HVR-1, or genetic deletion of HVR-1, turn off the safety catch to generate hyper-reactive HCV that exhibits enhanced virus entry but is thermally unstable and acutely sensitive to neutralising antibodies. Therefore, the HVR-1 safety catch controls the efficiency of virus entry and maintains resistance to neutralising antibodies.

molecular biology↗

flexiMAP: A regression-based method for discovering differential alternative polyadenylation events in standard RNA-seq data

SummaryWe present flexiMAP (flexible Modeling of Alternative PolyAdenylation), a new beta-regression-based method implemented in R, for discovering differential alternative polyadenylation events in standard RNA-seq data. Importantly, flexiMAP allows modeling of multiple known covariates that often confound the results of RNA-seq data analysis. We show, using simulated data, that flexiMAP is very specific and outperforms in sensitivity existing methods, especially at low fold changes. In addition, the tests on simulated data reveal some hitherto unrecognised caveats of existing methods.\n\nAvailabilityThe flexiMAP R package is available at: https://github.com/kszkop/flexiMAP\n\nScripts and data to reproduce the analysis in this paper are available at: https://doi.org/10.5281/zenodo.3238619\n\nContactIrene Nobeli, i.nobeli@bbk.ac.uk

bioinformatics↗