Search bioRxiv⌕ Search

Biology subjects

Geuter, J.

Publications and source records attributed to Geuter, J..

2 recordsLinked to original sources

Dissociable norepinephrine and dopamine representations during strategic decision-making and reward learning

Adaptive decision-making in competitive environments requires learning from immediate reward outcomes while tracking longer-timescale information to adjust behavioural strategies and remain unpredictable against others. Dopamine (DA) and norepinephrine (NE) have long been implicated in reward-guided behaviours, but their contributions to strategic choice remain unclear. We trained mice to play a zero-sum matching pennies game against a computer opponent that exploited regularities in their choice and reward history, such that optimal performance required stochastic choice decoupled from immediate reward. We combined fibre photometry recordings, behavioural and neural modelling, and a within-subject multi-task design to determine how NE and DA contribute to strategic choice in the matching pennies game versus reward-guided behaviour in a two-armed bandit (2AB) task. DA responses were dominated by trial-by-trial reward outcomes and consistently tracked model-derived reward prediction errors (RPE) across tasks and behavioural states. In contrast, NE activity reflected salient task events, predicted upcoming choice switches, and tracked longer-timescale variables including model-inferred behavioural strategy and average reward rate. In addition, NE responses were selectively enhanced following rewarded switches when these outcomes were informative for deciding whether to stay in or switch from the current strategy; and this enhancement could not be explained by RPE. Incorporating pre-choice NE activity into a reinforcement-learning model to modulate choice generation improved model prediction in matching pennies but not in the 2AB task. Together, these findings reveal complementary neuromodulatory correlates of competitive decision-making across timescales: DA primarily guides learning from immediate outcomes through RPE, whereas NE additionally represents contextual information and choice stochasticity relevant for shaping long-term strategies.

neuroscience↗

MicroRNA-sensing plasmid system for dynamic control of functional ion channel expression

Gene therapy offers the potential for long-term treatment or cures for a range of chronic diseases. However, permanent gene therapy expression may not be desirable. Efforts have been made to create systems which can be switched on/off by stimuli including light, designer drugs, or cellular contexts such as increased electrical activity. Here, we designed a novel plasmid system in which ion channel expression, and therefore function, is regulated by microRNA (miR) - an endogenous class of short noncoding RNAs which negatively regulate gene expression via binding the 3 untranslated region of target transcripts. We modified an existing voltage-gated potassium channel gene therapy with a binding cassette for miR-193a-3p, and transfected this miR-193-OFF system in neuro2A cells. Co-transfection with an inhibitor or mimic of miR-193a-3p respectively enhanced or repressed expression of our transgene, assessed using a GFP marker. Using whole-cell voltage clamp, we observed enhanced voltage-gated potassium currents in cells co-transfected with a miR-193a-3p inhibitor, compared with a non-targeting control oligonucleotide. Together, this demonstrates the concept of a novel miR-mediated molecular switch which can bias therapeutic ion channel expression based on a specific miR signal. As miRs are a ubiquitous molecular mechanism, our approach could be applied to a wide range of cellular and disease contexts, potentially expanding gene therapy to new patient populations.

neuroscience↗