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Tran, A. N.

Publications and source records attributed to Tran, A. N..

2 recordsLinked to original sources

Divergent pallidal pathways underlying distinct Parkinsonian behavioral deficits

The basal ganglia are a group of subcortical nuclei that regulates motor and cognitive functions1,2. Recent identification of neuronal heterogeneity in the basal ganglia suggests that functionally distinct neural circuits defined by their efferent projections exist even within the same nuclei3-5. This distinction may account for a multitude of symptoms associated with basal ganglia disorders such as Parkinsons disease (PD)6,7. However, our incomplete understanding of the basal ganglia functional organization has hindered further investigation of individual circuits that may underlie different behavioral symptoms in disease states. Here we functionally define two distinct classes of parvalbumin-expressing neurons in the mouse external globus pallidus (GPe-PV) embedded within discrete neural pathways and establish their contributions to different Parkinsonian behavioral deficits. We find that GPe-PV neurons projecting to the substantia nigra pars reticulata (SNr) or parafascicular thalamus (PF) undergo different electrophysiological adaptations in response to dopamine depletion. Furthermore, counteracting these adaptations in each population can selectively alleviate movement deficits or behavioral inflexibility in a Parkinsonian mouse model. Our findings provide a novel framework to understand the circuit basis of separate behavioral symptoms in Parkinsonian state which could provide better strategies for the treatment of PD.

neuroscience↗

HPAanalyze: An R Package that Facilitate the Retrieval and Analysis of The Human Protein Atlas Data

BackgroundThe Human Protein Atlas (HPA) aims to map human proteins via multiple technologies including imaging, proteomics and transcriptomics. Access of the HPA data is mainly via web-based interface allowing views of individual proteins, which may not be optimal for data analysis of a gene set, or automatic retrieval of original images.\n\nResultsHPAanalyze is an R package for retrieving and performing exploratory analysis of data from HPA. HPAanalyze provides functionality for importing data tables and xml files from HPA, exporting and visualizing data, as well as downloading all staining images of interest. The package is free, open source, and available via Bioconductor and Github.\n\nConclusionsHPAanalyze integrates into the R workflow via the tidyverse philosophy and data structures, and it can be used in combination with Bioconductor packages for easy analysis of HPA data.

bioinformatics↗