ArticleBMC biology2021
Single-cell spatial transcriptomic analysis reveals common and divergent features of developing postnatal granule cerebellar cells and medulloblastoma.
Article in BMC biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.
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30 citing papers in PubMed, 42 citations in OpenAlex.
- PICDGI: A framework for predicting cancer driver genes through dynamic gene-gene interaction modeling of single-cell data.PLoS computational biology · 2026Article
- Elucidating Neurodevelopmental Trajectories in Cancer with Topic Modeling: Revealing Persistent External Granule Layer Lineages in Medulloblastoma.bioRxiv : the preprint server for biology · 2025Article
- Single nucleus RNA sequencing unveils relationship between microglia and endothelial cells in mixed Alzheimer's disease and vascular pathology.Neurobiology of disease · 2025Article
- KMT2D temporally activates neuronal transcriptional factor genes to mediate cerebellar granule cell differentiation.Science advances · 2025Article
- Neurodevelopmental origins of structural and psychomotor defects in CXCR4-linked primary immunodeficiency.Neuron · 2025Article
- Unveiling spatial heterogeneity in medulloblastoma: A multi-omics analysis of cellular state and geographical organization.Neuro-oncology · 2025Article
- Genetic modeling of ELP1-associated Sonic hedgehog medulloblastoma identifies MDM2 as a selective therapeutic target.Cancer cell · 2025Article
- Review
- OLIG2 mediates a rare targetable stem cell fate transition in sonic hedgehog medulloblastoma.Nature communications · 2025Article
- Arrested development: the dysfunctional life history of medulloblastoma.Genes & development · 2025Review
- Spall: accurate and robust unveiling cellular landscapes from spatially resolved transcriptomics data using a decomposition network.BMC bioinformatics · 2024Article
- Spatio-temporal transcriptomics of chromothriptic SHH-medulloblastoma identifies multiple genetic clones that resist treatment and drive relapse.Nature communications · 2024Article
- Reconstructing the regulatory programs underlying the phenotypic plasticity of neural cancers.Nature communications · 2024Article
- Medulloblastoma Spatial Transcriptomics Reveals Tumor Microenvironment Heterogeneity with High-Density Progenitor Cell Regions Correlating with High-Risk Disease.bioRxiv : the preprint server for biology · 2024Article
- A Bibliometric Analysis of the Spatial Transcriptomics Literature from 2006 to 2023.Cellular and molecular neurobiology · 2024Review
- Differential gene expression analysis of spatial transcriptomic experiments using spatial mixed models.Scientific reports · 2024Article
- A Prognostic Methylation-Driven Two-Gene Signature in Medulloblastoma.Journal of molecular neuroscience : MN · 2024Article
- Review
- Single-cell multi-omics analysis of lineage development and spatial organization in the human fetal cerebellum.Cell discovery · 2024Article
- Spatial RNA sequencing methods show high resolution of single cell in cancer metastasis and the formation of tumor microenvironment.Bioscience reports · 2023Review
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Authors and funding
14 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundCerebellar neurogenesis involves the generation of large numbers of cerebellar granule neurons (GNs) throughout development of the cerebellum, a process that involves tight regulation of proliferation and differentiation of granule neuron progenitors (GNPs). A number of transcriptional regulators, including Math1, and the signaling molecules Wnt and Shh have been shown to have important roles in GNP proliferation and differentiation, and deregulation of granule cell development has been reported to be associated with the pathogenesis of medulloblastoma. While the progenitor/differentiation states of cerebellar granule cells have been broadly investigated, a more detailed association between developmental differentiation programs and spatial gene expression patterns, and how these lead to differential generation of distinct types of medulloblastoma remains poorly understood. Here, we provide a comparative single-cell spatial transcriptomics analysis to better understand the similarities and differences between developing granule and medulloblastoma cells.
resultsTo acquire an enhanced understanding of the precise cellular states of developing cerebellar granule cells, we performed single-cell RNA sequencing of 24,919 murine cerebellar cells from granule neuron-specific reporter mice (Math1-GFP; Dcx-DsRed mice). Our single-cell analysis revealed that there are four major states of developing cerebellar granule cells, including two subsets of granule progenitors and two subsets of differentiating/differentiated granule neurons. Further spatial transcriptomics technology enabled visualization of their spatial locations in cerebellum. In addition, we performed single-cell RNA sequencing of 18,372 cells from Patched
conclusionIn sum, our study revealed the cellular and spatial organization of the detailed states of cerebellar granule cells and provided direct evidence for the similarities and discrepancies between normal cerebellar development and tumorigenesis.
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