R. Barrett-Jolley

Variables associated with owner perceptions of the health of their dog: further analysis of data from a large international survey

This study reanalyzes data from a previous survey to identify predictors of owner-perceived dog health, finding that diet has limited impact compared to age, veterinary visits, and medication.

Temperature modulates PVN pre-sympathetic neurones via transient receptor potential ion channels.

The paper investigates how temperature affects PVN pre-sympathetic neurones via TRP channels, finding that Trpv4 contributes to thermosensitivity and ACf changes with temperature.

A robust method for performing 1H-NMR lipidomics in embryonic zebrafish

This paper develops a robust 1H-NMR lipidomics method for embryonic zebrafish, showing that rapid lipid extraction and sample pooling improve signal-to-noise ratio and that chorion inclusion does not affect lipid abundances.

Systemic application of the TRPV4 antagonist GSK2193874 induces tail vasodilation in a mouse model of thermoregulation

This study shows that the TRPV4 antagonist GSK2193874 increases tail blood flow in mice across all temperatures, suggesting central rather than peripheral vascular effects on thermoregulation.

DeepGANnel: Synthesis of fully annotated single molecule patch-clamp data using generative adversarial networks

This paper develops DeepGANnel, a GAN-based method to generate synthetic single molecule patch-clamp data with labels, addressing the lack of large training datasets for automated analysis tools.

Discriminant Analysis of Principle Component analyses of Physiological Data.

The paper compares discriminant analysis of principle component (DAPC) to PCA for analyzing multivariate physiological data, finding DAPC more accurate in detecting differences between synthetic datasets.

Deep-Channel uses deep neural networks to detect single-molecule events from patch-clamp data

Deep-Channel uses deep neural networks to automatically detect single-molecule events in patch-clamp data more accurately and faster than traditional methods.