Transcriptomics

Dataset Information

0

Single cell transcriptional and chromatin accessibility profiling identify the cellular heterogeneity of human medulloblastoma


ABSTRACT: We report the application of single-molecule-based sequencing technology for high-throughput profiling of chromosome occupation and single cell gene expression or single nuclei chromatin accessibility in medulloblastoma tissues or cells. To further define the cellular identity at the single cell level, we characterized 26 MB tissues including 18 newly diagnosed MB tumor tissues by single cell scRNA-seq and scATAC-seq (the assay for transposase-accessible chromatin-sequencing) together with 8 previously reported MB single cell transcriptomics. The newly diagnosed MB tumors included four SHH-MBs (45,731 cells), nine G3-MBs (82,834 cells), thirteen G4 MBs (77,521 cells) with a median of 7,926 cells for scRNA-seq and 9,342 cells for scATAC-seq per MB tumor, respectively. To decipher how dynamic accessibility at the cis-regulatory elements (CREs) relates to the gene regulatory program in TCP-like cells from G3- and G4- MBs, we performed single nuclei ATAC-seq (snATAC-seq) to determine the single-cell chromatin accessibility landscape using high-quality nuclei from a set of fresh G3 and G4 MB tumors that matched with scRNA-seq. Finally, we show that gene expression with chromatin state can be read in an allele-specific manner by using single nucleotide polymorphisms. Our studies identified a human-specific intermediate progenitor population important for cerebellar neural lineage development and the growth and metastasis of aggressive MBs, highlighting potential therapeutic targets.

ORGANISM(S): Homo sapiens

PROVIDER: GSE198565 | GEO | 2022/10/08

REPOSITORIES: GEO

Dataset's files

Source:
Action DRS
Other
Items per page:
1 - 1 of 1

Similar Datasets

2022-07-04 | GSE207008 | GEO
2016-01-21 | E-GEOD-64425 | biostudies-arrayexpress
2016-01-21 | GSE64425 | GEO
2016-01-21 | GSE66093 | GEO
2018-06-12 | GSE102096 | GEO
2023-09-29 | PXD045567 | Pride
2017-03-01 | GSE84761 | GEO
2017-03-01 | GSE84462 | GEO
2024-05-23 | GSE234577 | GEO
2016-01-21 | E-GEOD-66093 | biostudies-arrayexpress