ReviewCells2022
Purkinje Cell Patterning-Insights from Single-Cell Sequencing.
Review in Cells, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
11 citing papers in PubMed, 14 citations in OpenAlex.
- Specialized outputs and behavioral contributions of Purkinje cell subtypes.bioRxiv : the preprint server for biology · 2026Article
- Region- and cell type-specific changes in gene expression in the cerebellum after classical fear conditioning.Communications biology · 2026Article
- Resilience to Endoplasmic Reticulum Stress Mitigates Membrane Hyperexcitability Underlying Late Disease Onset in a Murine Model of SCA6.Annals of neurology · 2026Article
- Generating cerebellar organoids from pluripotent stem cells.Disease models & mechanisms · 2026Review
- Cerebellar organoids model cell type-specific FOXP2 expression during human cerebellar development.Disease models & mechanisms · 2025Article
- Challenges in Polyglutamine Diseases: From Dysfunctional Neuronal Circuitries to Neuron-Specific CAG Repeat Instability.International journal of molecular sciences · 2025Review
- Divergent somatic mutation patterns among human cerebellar neuron types.bioRxiv : the preprint server for biology · 2025Article
- Conference Report: Cerebellar Development and Disease at Single-Cell Resolution.Cerebellum (London, England) · 2025Article
- Single-cell multi-omics analysis of lineage development and spatial organization in the human fetal cerebellum.Cell discovery · 2024Article
- Purkinje cell models: past, present and future.Frontiers in computational neuroscience · 2024Review
- Purkinje-Enriched snRNA-seq in SCA7 Cerebellum Reveals Zebrin Identity Loss as a Central Feature of Polyglutamine Ataxias.bioRxiv : the preprint server for biology · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 1 institution in 1 country.
Funding
Abstract
Despite their homogeneous appearance, Purkinje cells are remarkably diverse with respect to their molecular phenotypes, physiological properties, afferent and efferent connectivity, as well as their vulnerability to insults. Heterogeneity in Purkinje cells arises early in development, with molecularly distinct embryonic cell clusters present soon after Purkinje cell specification. Traditional methods have characterized cerebellar development and cell types, including Purkinje cell subtypes, based on knowledge of selected markers. However, recent single-cell RNA sequencing studies provide vastly increased resolution of the whole cerebellar transcriptome. Here we draw together the results of multiple single-cell transcriptomic studies in developing and adult cerebellum in both mouse and human. We describe how this detailed transcriptomic data has increased our understanding of the intricate development and function of Purkinje cells and provides first clues into features specific to human cerebellar development.
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Identifiers
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.