ArticleNeuron2024
Longitudinal single-cell transcriptional dynamics throughout neurodegeneration in SCA1.
Article in Neuron, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
27 citing papers in PubMed, 1 synthesis or guideline pooled it, 31 citations in OpenAlex.
- Bibliometric and visual analysis of single-cell multiomics in neurodegenerative disease arrest studies.Frontiers in neurology · 2024Pooled it
- Review
- Oligodendrocyte dysfunction contributes to motor deficits and Purkinje cell axonopathy in spinocerebellar ataxia type 1.The Journal of clinical investigation · 2026Article
- Single-Cell RNA Sequencing Reveals Impaired CHIP-Mediated Heat Stress Response in SCA3 Pathogenesis.Molecular neurobiology · 2026Article
- Longitudinal omics data analysis: approaches and applications.Computational and structural biotechnology journal · 2026Review
- MSK1 Downstream Signaling Contributes to Inflammatory Pain in the Superficial Spinal Dorsal Horn.International journal of molecular sciences · 2025Article
- Translational Relevance of SCA1 Models for the Development of Therapies for Spinocerebellar Ataxia Type 1.Biomedicines · 2025Review
- TMEM206 gene knockout improves balance performance in SCA1 transgenic mice.IBRO neuroscience reports · 2025Article
- Pathogenicity of Mediator Complex Subunit 27 (MED27) in a Neurodevelopmental Disorder with Cerebellar Atrophy.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- Disrupted Transcriptional Networks in Mammalian Cells Stably Over-Expressing Pathogenic Atrophin-1.Journal of neuroscience research · 2025Article
- Fixel-Based Analysis of Diffusion Imaging as a Quantitative Marker of Disease State in Spinocerebellar Ataxia.Annals of clinical and translational neurology · 2025Article
- Disrupted Transcriptional Networks by Mutant Atrophin-1 in a Cell Culture Model of Dentatorubral-Pallidoluysian Atrophy.bioRxiv : the preprint server for biology · 2025Article
- Distinct molecular patterns in R6/2 HD mouse brain: Insights from spatiotemporal transcriptomics.Neuron · 2025Article
- Essential new insights into human cerebellar Purkinje cell biology from studies of essential tremor.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Mechanism of cytarabine-induced neurotoxicity.Nature · 2025Article
- Review
- Multi-region brain transcriptomic analysis of amyotrophic lateral sclerosis reveals widespread RNA alterations and substantial cerebellum involvement.Molecular neurodegeneration · 2025Article
- Spatial Omics in Clinical Research: A Comprehensive Review of Technologies and Guidelines for Applications.International journal of molecular sciences · 2025Review
- Sex Differences in a Novel Mouse Model of Spinocerebellar Ataxia Type 1 (SCA1).International journal of molecular sciences · 2025Article
- Dysregulation of zebrin-II cell subtypes in the cerebellum is a shared feature across polyglutamine ataxia mouse models and patients.Science translational medicine · 2024Article
Corrections and comments
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Authors and funding
27 authors at 9 institutions in 1 country.
Funding
Abstract
Neurodegeneration is a protracted process involving progressive changes in myriad cell types that ultimately results in the death of vulnerable neuronal populations. To dissect how individual cell types within a heterogeneous tissue contribute to the pathogenesis and progression of a neurodegenerative disorder, we performed longitudinal single-nucleus RNA sequencing of mouse and human spinocerebellar ataxia type 1 (SCA1) cerebellar tissue, establishing continuous dynamic trajectories of each cell population. Importantly, we defined the precise transcriptional changes that precede loss of Purkinje cells and, for the first time, identified robust early transcriptional dysregulation in unipolar brush cells and oligodendroglia. Finally, we applied a deep learning method to predict disease state accurately and identified specific features that enable accurate distinction of wild-type and SCA1 cells. Together, this work reveals new roles for diverse cerebellar cell types in SCA1 and provides a generalizable analysis framework for studying neurodegeneration.
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.