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SRX16652477: GSM6382326: GLAST98 pD; Mus musculus; RNA-Seq
1 ILLUMINA (NextSeq 550) run: 264,016 spots, 40.1M bases, 17.8Mb downloads

External Id: GSM6382326_r1
Submitted by: Molecular Neurobiology, German Cancer Research Center
Study: scNMT-seq of the adult NSC lineage - RNA
show Abstracthide Abstract
Stem cells in the adult brain are specialized astrocytes capable of generating neurons and glial cells. While neural stem cells (NSCs) and common astrocytes have clearly distinct functions, they share highly similar transcriptome profiles. How stemness is molecularly encoded is therefore unclear. Here we use single-cell NMT-seq to simultaneously characterize the transcriptome, DNA methylome and chromatin accessibility of astrocytes and the NSC lineage in the healthy and ischemic brain. Our data reveal distinct methylation profiles associated with either astrocyte or stem cell function. Stemness is conferred by methylation of astrocyte genes and demethylation of neurogenic genes that are expressed only later. Surprisingly, ischemic injury unlocks the stemness-methylome in common astrocytes enabling generation of neuroblasts. Furthermore, we show that oligodendrocytes employ Tet-mediated demethylation to regulate expression of myelin-related genes, many of which are abnormally methylated in multiple sclerosis. Overall, we show that DNA methylation is a promising target for regenerative medicine. Overall design: Astrocytes, oligodendrocytes, adult neural stem cells as well as their progeny were isolated via flourescence-activated cell sorting (FACS) from the ventricular-subventricular zone, striatum, and olfactory bulb. Each biological replicate (pA, pB, …) consists of one or more mice. Cells were subjected to scNMT-seq in order to quantify DNA methylation, chromatin accessibility, and gene expression at single cell resolution.
Sample: GLAST98 pD
SAMN29937374 • SRS14286813 • All experiments • All runs
Organism: Mus musculus
Library:
Name: GSM6382326
Instrument: NextSeq 550
Strategy: RNA-Seq
Source: TRANSCRIPTOMIC SINGLE CELL
Selection: cDNA
Layout: PAIRED
Construction protocol: For the ischemia experiment, the vSVZ and striatum were isolated. For the naïve experiments, vSVZ, striatum, and olfactory bulb were isolated. Depending on the plate, individual or pooled mice were used to sort cells on plate. Tissues were processed and sorted in a BD FACSAria II at the DKFZ Flow Cytometry Facility. Cells were stained with the following antibodies (all conditions and tissues together): O4-APC and O4-APC-Vio770 (Miltenyi; diluted 1:50), Ter119-APC-Cy7 (Biolegend; 1:100), CD45-APC-Cy7 (BD; 1:200), GLAST (ACSA-1)-PE (Miltenyi: 1:20), PSA-NCAM-PE-Vio770 (Miltenyi; 1:75), Prominin1-A488 (eBioscience; 1:75), and Sytox Blue (Life Technologies, 1:1000), CD9-eFluo450 (eBioscience, 1:300). For profiling the transcriptome and epigenome of single cells we developed and implemented a miniaturized and higher throughput version of the scNMT-seq protocol (Clark et al., 2018). On this new version, the Smart-seq3 (Hagemann-Jensen et al., 2020) method and specific normalization steps were implemented. A detailed version of the protocol is described in Cerrizuela et al., (2022). The samples listed here represent the transcriptomic portion of this multi-omic data set. Single-cell RNA-seq (Smart-seq3)
Runs: 1 run, 264,016 spots, 40.1M bases, 17.8Mb
Run# of Spots# of BasesSizePublished
SRR20628595264,01640.1M17.8Mb2022-09-16

ID:
23381931

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