A cycling, progenitor-like cell population at the root of atypical teratoid rhabdoid tumor subtype differentiation trajectories [snRNA_10Xv3]
收藏NIAID Data Ecosystem2026-05-02 收录
下载链接:
https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE283839
下载链接
链接失效反馈官方服务:
资源简介:
Atypical teratoid rhabdoid tumors (ATRTs), characterized by the loss of SMARCB1, are among the most lethal pediatric brain tumors. Three molecular subtypes have been identified, each defined by distinct molecular and clinical features. Still, no subtype-specific treatments are available, highlighting the need to understand their inter and intra-subtype heterogeneity. Here, we generated a single-nucleus transcriptome atlas of ATRTs, validated with single-cell ATAC-seq and spatial transcriptomics, to study subtype-specific differentiation trajectories. We identified retained brain progenitor expression profiles within unique subtype-specific differentiation lineages. A shared cycling, progenitor-like cell population, interspersed throughout tumors, was observed across all ATRT patients. Finally, we demonstrate that subtype-specific differentiation trajectories can be induced pharmacologically in ATRT tumoroids directing tumor cells towards a non-proliferative, mature phenotype. Our study reveals that ATRT subtypes exhibit signaling trajectories mirroring normal fetal brain development, potentially enabling the development of maturation therapies tailored towards ATRTs. Viably frozen samples were minced into small pieces and following 10X Genomics snMultiome pipeline after a nuclei were 7ADD+ sorted *************************************************************** Raw files for human/patient samples are being made available in EGA (https://www.ebi.ac.uk/ega/) for controlled access to the personally identifiable sequence data. ***************************************************************
创建时间:
2025-07-24



