Dataset Information

P300-mediated adaptive conversion of glioma stem cells to vascular-like cells in response to therapeutic stress promotes tumor recurrence [ATAC_Seq_IR]

ABSTRACT: P300-mediated adaptive conversion of glioma stem cells to vascular-like cells in response to therapeutic stress promotes tumor recurrence [ATAC_Seq_IR]

PROVIDER: PRJNA857103 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Dataset's files

Source:

			Action	DRS
	SRR20067210_1.fastq.gz	Fastqsanger.gz
	SRR20067210_2.fastq.gz	Fastqsanger.gz
	SRR20067211_1.fastq.gz	Fastqsanger.gz
	SRR20067211_2.fastq.gz	Fastqsanger.gz
	SRR20067212_1.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 12

Similar Datasets

Project description:Purpose: The goal of the study is to determine the phenotypic and functional states of glioma cells induce in response to a standard glioblastoma therapy, ionizing radiation. Methods: We performed single-cell RNA-sequencing on a patient-derived gliomasphere line isolated from a primary glioblastoma tumor. Cells were exposed to a single dose of radiation ( 8 Gy) for 2- and 7-days to elaborate their gene expression profile. Single cell suspensions and cDNA library preparation was done using 10x Genomics Chromium single cell reagent kit v3 according to manufacturer's protocol. cDNA samples were sequenced on 1 lane of NovaSeq 6000 S2 flowcell. Reads were mapped to HumanGRCh38 genome using Cell Ranger v.3.0.2. More than 600 million reads were obtained for each sample. Average number of genes detected was 5875 (SE±357). Confident read mapping rates were 81.2-87.4% with over 86.8% of reads in cells. Seurat package v3.1.1 was used for integrated analysis by Canonical correlation analysis method with 75 dimensions . PCA was used for dimensional reduction, and Cell clustering was performed using shared nearest neighbor method. Each cell cluster was annotated by a combination of the following methods 1) canonical marker expression 2) Gene Set Enrichment Analysis (GSEA) of cluster specific markers determined by Find Markers function in Seurat and 3) Co-expression modules obtained by Louvain community detection clustering method. Trajectory analysis was done with monocle 3 (version 0.2.1.3) by converting Seurat object to monocle. Results: We identified 14 distinct clusters in all samples, and found dynamic alterations in frequency and size of clusters between non-radiated and radiated cells. Louvian community detection and co-expressed gene module analysis revealed that clusters expressing mitotic and DNA repair modules were diminshed, whereas clusters expressing stemness, mesenchymal and vasculogenesis modules increased post-radiation. Conclusion: Radiation therapy induces diverse functional states in glioma cells.

Dataset Information

P300-mediated adaptive conversion of glioma stem cells to vascular-like cells in response to therapeutic stress promotes tumor recurrence [ATAC_Seq_IR]

Dataset's files

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets

Dataset Information

P300-mediated adaptive conversion of glioma stem cells to vascular-like cells in response to therapeutic stress promotes tumor recurrence­ [ATAC_Seq_IR]

Dataset's files

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets

P300-mediated adaptive conversion of glioma stem cells to vascular-like cells in response to therapeutic stress promotes tumor recurrence [ATAC_Seq_IR]