Biology subjects

O'Dea, R.

Publications and source records attributed to O'Dea, R..

6 recordsLinked to original sources

bioRxiv2025

The EF-hand domain of MINDY3 is a Ubiquitin and RAD23 UBL-binding domain

The MINDY family of deubiquitinases (DUBs) are exemplified by their preference for cleaving K48-linked polyubiquitin. MINDY3 is architecturally distinct from other MINDY DUBs as its catalytic domain spans the entire length of the protein except for an atypical EF-hand insertion. We uncover this EF-hand (MINDY3EF-hand) to be a ubiquitin-binding domain with three distinct binding sites, enabling MINDY3 to bind and effectively cleave long polyubiquitin chains. Furthermore, the MINDY3EF-hand domain binds not only to polyubiquitin but also to the UBL domain of the proteasome shuttling and DNA repair factors RAD23A and RAD23B. The MINDY3EF-hand facilitates this interaction with RAD23s in cells and mediates MINDY3 recruitment to DNA damage sites, establishing this unique DUB as a potential regulator of cellular DNA damage responses. MINDY3 binds specifically to the UBL domain of RAD23s, and none of the other UBLs tested. The crystal structure of the MINDY3EF-hand:RAD23AUBL domain complex reveals the molecular basis for specificity. We find that MINDY3 can form a ternary complex with RAD23A/B and polyubiquitin, and our findings suggest a model wherein MINDY3 can deubiquitylate RAD23A/B-bound clients.

biochemistry↗

bioRxiv2024

Understanding the regulation of chronic wounds by tissue inhibitors of matrix metalloproteinases through mathematical modelling

Understanding the biochemistry and pharmacodynamics of chronic wounds is of key importance, due to the millions of people in the UK affected and the significant cost to the NHS. Chronic wounds are characterised by elevated concentrations of matrix metalloproteinases (MMPs) that destroy the surrounding extracellular matrix (ECM). However, fibroblasts can produce tissue inhibitors of MMPs (TIMPs) in order to regulate wound healing. Therefore, the role of TIMPs in both acute and chronic wounds needs to be properly understood in order to develop therapeutic treatments. In this work, we propose a reaction-diffusion system of four partial differential equations that describe the interaction of the ECM, fibroblasts, MMPs, and TIMPs in a wound. We observe that, subject to biologically realistic parameter values, this mathematical model gives rise to travelling wave solutions. Using bifurcation analysis, we demonstrate that deregulated apoptosis in the ECM results in the emergence of chronic wounds, and the reversal of these chronic wounds is prohibited for lower TIMP production values. These results are replicated within a simplified model obtained via a parameter sensitivity analysis. This model is further extended to more realistic spatial domains where we demonstrate the effectiveness of a therapeutic hydrogel containing TIMPs as a treatment for chronic wounds.

cell biology↗

bioRxiv2024

Discovery and mechanism of K63-linkage-directed deubiquitinase activity in USP53

Ubiquitin-specific proteases (USPs) are the largest class of human deubiquitinases (DUBs) and comprise its phylogenetically most distant members USP53 and USP54, which are annotated as catalytically inactive pseudo-enzymes. Conspicuously, mutations in the USP domain of USP53 cause familial intrahepatic cholestasis. Here we report the discovery that USP53 and USP54 are in fact active DUBs with high specificity for K63-linked polyubiquitin. We demonstrate how USP53 patient mutations abrogate catalytic activity, implicating loss of DUB activity in USP53-mediated pathology. Depletion of USP53 increases K63-linked ubiquitination of tricellular junction components. Assays with substrate-bound polyubiquitin reveal that USP54 cleaves within K63-linked chains, whereas USP53 can deubiquitinate a substrate in a K63-linkage-dependent manner. Biochemical and structural analyses uncover underlying K63-specific S2-ubiquitin-binding sites within their catalytic domains. Collectively, our work revises the annotation of USP53 and USP54, provides chemical reagents and a mechanistic framework to broadly investigate K63-polyubiquitin chain length decoding, and establishes K63-linkage-directed deubiquitination as novel DUB activity.

biochemistry↗

bioRxiv2023

Modelling the effect of matrix metalloproteinases in dermal wound healing

With over 2 million people in the UK suffering from chronic wounds, understanding the biochemistry and pharmacology that underpins these wounds and wound healing is of high importance. Chronic wounds are characterised by high levels of matrix metalloproteinases (MMPs), which are necessary for the modification of healthy tissue in the healing process. Overexposure of MMPs, however, adversely affects healing of the wound by causing further destruction of the surrounding extracellular matrix. In this work, we propose a mathematical model that focuses on the interaction of MMPs with dermal cells using a system of partial differential equations. Using biologically realistic parameter values, this model gives rise to travelling waves corresponding to a front of healthy cells invading a wound. From the arising travelling wave analysis, we observe that deregulated apoptosis results in the emergence of chronic wounds, characterised by elevated MMP concentrations. We also observe hysteresis effects when both the apoptotic rate and MMP production rate are varied, providing further insight into the management (and potential reversal) of chronic wounds.

biophysics↗

bioRxiv2020

Low Repeatability of Aversive Learning in Zebrafish (Danio rerio)

Aversive learning - avoiding certain situations based on negative experiences - can profoundly increase fitness in animal species. The extent to which this cognitive mechanism could evolve depends upon individual differences in aversive learning being stable through time, and heritable across generations, yet no published study has quantified the stability of individual differences in aversive learning using the repeatability statistic, R (also known as the intra-class correlation). We assessed the repeatability of aversive learning by conditioning approximately 100 zebrafish (Danio rerio) to avoid a colour cue associated with a mild electric shock. Across eight different colour conditions zebrafish did not show consistent individual differences in aversive learning (R = 0.04). Within conditions, when zebrafish were twice conditioned to the same colour, blue conditioning was more repeatable than green conditioning (R = 0.15 and R = 0.02). In contrast to the low repeatability estimates for aversive learning, zebrafish showed moderately consistent individual differences in colour preference during the baseline period (i.e. prior to aversive conditioning; R ~ 0.45). Overall, aversive learning responses of zebrafish were weak and variable (difference in time spent near the aversive cue <6 seconds per minute), but individual differences in learning ability did not explain substantial variability. We speculate that either the effect of aversive learning was too weak to quantify consistent individual differences, or directional selection might have eroded additive genetic variance. Finally, we discuss how confounded repeatability assays and publication bias could have inflated average estimates of repeatability in animal behaviour publications. Summary StatementZebrafish exhibit low repeatability (intra-class correlation) in an aversive learning assay possibly due to past selection pressure exhausting genetic variance in this learning trait.

animal behavior and cognition↗

bioRxiv2020

Reinforcement Learning approaches to hippocampus-dependant flexible spatial navigation

Humans and non-human animals show great flexibility in spatial navigation, including the ability to return to specific locations based on as few as one single experience. To study spatial navigation in the laboratory, watermaze tasks, in which rats have to find a hidden platform in a pool of cloudy water surrounded by spatial cues, have long been used. Analogous tasks have been developed for human participants using virtual environments. Spatial learning in the watermaze is facilitated by the hippocampus. In particular, rapid, one-trial, allocentric place learning, as measured in the Delayed-Matching-to-Place (DMP) variant of the watermaze task, which requires rodents to learn repeatedly new locations in a familiar environment, is hippocampal dependent. In this article, we review some computational principles, embedded within a Reinforcement Learning (RL) framework, that utilise hippocampal spatial representations for navigation in watermaze tasks. We consider which key elements underlie their efficacy, and discuss their limitations in accounting for hippocampus-dependent navigation, both in terms of behavioural performance (i.e., how well do they reproduce behavioural measures of rapid place learning) and neurobiological realism (i.e., how well do they map to neurobiological substrates involved in rapid place learning). We discuss how an actor-critic architecture, enabling simultaneous assessment of the value of the current location and of the optimal direction to follow, can reproduce one-trial place learning performance as shown on watermaze and virtual DMP tasks by rats and humans, respectively, if complemented with map-like place representations. The contribution of actor-critic mechanisms to DMP performance is consistent with neurobiological findings implicating the striatum and hippocampo-striatal interaction in DMP performance, given that the striatum has been associated with actor-critic mechanisms. Moreover, we illustrate that hierarchical computations embedded within an actor-critic architecture may help to account for aspects of flexible spatial navigation. The hierarchical RL approach separates trajectory control via a temporal-difference error from goal selection via a goal prediction error and may account for flexible, trial-specific, navigation to familiar goal locations, as required in some arm-maze place memory tasks, although it does not capture one-trial learning of new goal locations, as observed in open field, including watermaze and virtual, DMP tasks. Future models of one-shot learning of new goal locations, as observed on DMP tasks, should incorporate hippocampal plasticity mechanisms that integrate new goal information with allocentric place representation, as such mechanisms are supported by substantial empirical evidence.

neuroscience↗