Publications by authors named "S J Gamblin"

Background: The emergence of SARS-CoV-2 variants and COVID-19 vaccination have resulted in complex exposure histories. Rapid assessment of the effects of these exposures on neutralising antibodies against SARS-CoV-2 infection is crucial for informing vaccine strategy and epidemic management. We aimed to investigate heterogeneity in individual-level and population-level antibody kinetics to emerging variants by previous SARS-CoV-2 exposure history, to examine implications for real-time estimation, and to examine the effects of vaccine-campaign timing.

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Background: Histone ubiquitination modification is emerging as a critical epigenetic mechanism involved in a range of biological processes. In vitro reconstitution of ubiquitinated nucleosomes is pivotal for elucidating the influence of histone ubiquitination on chromatin dynamics.

Results: In this study, we introduce a Non-Denatured Histone Octamer Ubiquitylation (NDHOU) approach for generating ubiquitin or ubiquitin-like modified histone octamers.

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Article Synopsis
  • The study analyzed COVID-19 symptoms and viral loads in healthy vaccinated adults infected with the Omicron sub-variants (BA.1, BA.2, BA.4/5) compared to the Delta variant.
  • Findings indicated that while symptom burden and duration were similar across infections, specific symptoms varied significantly between Delta and Omicron, particularly with anosmia being less common in vaccinated Omicron cases.
  • Despite differences in symptom profiles, the study found that viral load trajectories were consistent across both Delta and Omicron infections, regardless of symptom severity.
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Article Synopsis
  • The study investigates how different variants of SARS-CoV-2 and host characteristics, like age and prior immunity, influence the virus's replication and transmission in individuals from 2020 to 2022.
  • Researchers used a Bayesian hierarchical model to analyze data from healthy adults undergoing regular PCR testing, focusing on viral kinetics indicated by PCR cycle threshold (Ct) values.
  • Findings showed that older individuals and those with more prior exposures exhibited lower viral shedding, highlighting the need to consider individual characteristics when studying COVID-19 dynamics.
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