GABAergic neuronal dysfunction underlies tremor in spinocerebellar ataxia 3

Tremor is a common movement disorder associated with several neurodegenerative diseases, yet its mechanisms are not well understood. Using a machine-learning method, Feature Learning-based Leg segmentation and Tracking (FLLIT), we previously characterised gait and tremor signatures in a Drosophila model for spinocerebellar ataxia 3 (SCA3) and found them to be analogous to those in human SCA3. Here, we carried out a functional screen for neuronal populations that underlie tremor and found that dysfunction of a specific population of neurons in the ventral nerve cord (VNC) is necessary and sufficient for tremor. Adult-onset expression of mutant ATXN3 in, or genetic hypo-activation of, these neurons led to tremor, indicating their important role in adult motor control. RNA-sequencing and functional experiments showed that dysfunction of GABAergic neurons, and not that of other neurotransmitter populations tested, causes tremor. Finally, we identified a small subset of ∼30 predominantly GABAergic neurons within the adult VNC that are essential for smooth walking. This study demonstrates that tremor in SCA3 flies arises from GABAergic dysfunction, and that FLLIT can be used to dissect motor control mechanisms.

Authors

Institutions

Publication Details

Journal
Disease Models & Mechanisms
Published
2025-09-18
DOI
https://doi.org/10.1242/dmm.052329
Primary Topic
Genetic Neurodegenerative Diseases
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

GABAergic neuronal dysfunction underlies tremor in spinocerebellar ataxia 3

Sherry Aw, Kaibo Duan, Animesh Banerjee, Shermaine Huiping Tay et al.
Disease Models & Mechanisms
Genetic Neurodegenerative Diseases
article

GABAergic neuronal dysfunction underlies tremor in spinocerebellar ataxia 3

Sherry Aw, Kaibo Duan, Animesh Banerjee, Shermaine Huiping Tay, Anand Kumar Andiappan, Moumita Chatterjee, Shanshan Wu Howland, Kah Junn Tan, Yoshinori Aso
article en

Abstract

Tremor is a common movement disorder associated with several neurodegenerative diseases, yet its mechanisms are not well understood. Using a machine-learning method, Feature Learning-based Leg segmentation and Tracking (FLLIT), we previously characterised gait and tremor signatures in a Drosophila model for spinocerebellar ataxia 3 (SCA3) and found them to be analogous to those in human SCA3. Here, we carried out a functional screen for neuronal populations that underlie tremor and found that dysfunction of a specific population of neurons in the ventral nerve cord (VNC) is necessary and sufficient for tremor. Adult-onset expression of mutant ATXN3 in, or genetic hypo-activation of, these neurons led to tremor, indicating their important role in adult motor control. RNA-sequencing and functional experiments showed that dysfunction of GABAergic neurons, and not that of other neurotransmitter populations tested, causes tremor. Finally, we identified a small subset of ∼30 predominantly GABAergic neurons within the adult VNC that are essential for smooth walking. This study demonstrates that tremor in SCA3 flies arises from GABAergic dysfunction, and that FLLIT can be used to dissect motor control mechanisms.

Disease Models & MechanismsVol. 18(10)
Agency for Science, Technology and Research (SG), Nanyang Technological University (SG), Janelia Research Campus (US), Singapore Immunology Network (SG), Institute of Molecular and Cell Biology (RU)
National Research Foundation, National Institutes of Health, Medical Research Council, National Medical Research Council
Openalex Percentile: Top 72%
Genetic Neurodegenerative Diseases
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.