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SRX6657778: GSM4007807: zfRNAldtN36R1; Danio rerio; RNA-Seq
1 ILLUMINA (NextSeq 500) run: 48.7M spots, 7.3G bases, 2.6Gb downloads

Submitted by: NCBI (GEO)
Study: Comparative transcriptomic and epigenomic analysis identifies key regulators of injury response and neurogenic competence in retinal glia
show Abstracthide Abstract
Injury induces retinal Muller glia of non-mammalian, but not mammalian, vertebrates to generate neurons. To identify gene regulatory networks that control neurogenic competence in retinal glia, we used bulk and single-cell RNA-seq and ATAC-seq analysis to comprehensively profile gene expression and chromatin conformation in Muller glia from zebrafish, chick and mice. This was conducted during glial development, following inner and outer retinal injury, as well as following treatment with extrinsic factors that induce glial reprogramming. Integration of these data, together with functional analysis of candidate genes, identified evolutionarily conserved and species-specific gene regulatory networks controlling glial quiescence, gliosis, and neurogenic competence. In zebrafish and chick, transition from quiescence to gliosis is a necessary stage in acquisition of neurogenic competence, while in mice a dedicated network suppresses this transition and rapidly restores quiescence. These findings may help guide the design of cell-based therapies aimed at restoring retinal neurons lost to disease. Overall design: In this study, to comprehensively identify transcriptional and epigenetic regulators of neurogenic competence in MG, we profiled mRNA levels using bulk RNA-seq and chromatin accessibility using ATAC (Assay for Transposase-Accessible Chromatin) sequencing technology in zebrafish and mouse in response to multiple neuronal injury models, as well as growth factor treatment. In total, we generated 105 bulk RNA-Seq libraries (including 5 technical replicates) and 40 bulk ATAC-Seq libraries.
Sample: zfRNAldtN36R1
SAMN12497832 • SRS5218239 • All experiments • All runs
Organism: Danio rerio
Library:
Instrument: NextSeq 500
Strategy: RNA-Seq
Source: TRANSCRIPTOMIC
Selection: cDNA
Layout: PAIRED
Construction protocol: RNA was extracted from both GFP-positive and GFP-negative cell fractions using miRNAeasy Mini Kit (#217004, Qiagen). Ribosomal RNA was depleted, and total RNA was captured from the RNA samples using Illumina TruSeq Stranded RNA LT kit Ribo-ZeroTM Gold (# 15032619, Illumina). For tagmentation, cell nuclei were incubated with 2.5 UL enzyme in 50UL total volume at 37°C in a thermocycler (Illumnia Nextera DNA library prep kit, #FC1211030). DNA was cleaned up using MinElute PCR purification kit (#28006, Qiagen) and eluted in 10UL of EB buffer. Flow-sorted RNA samples were sent to the Deep Sequencing and Microarray Core (Johns Hopkins University) for library preparation and sequencing. Around 8-10 libraries were pooled and sequenced for paired-end 75 cycles using the NextSeq 500 system with ~400-500 million reads per run, resulting in ~45-55 million reads per library. Sorted cells (~50k-75k) from GFP-positive samples were used for ATAC library preparation. Completed ATAC-Seq libraries were then analyzed by Fragment Bioanalyzer and sequenced for paired-end 75 cycles using the NextSeq 500 system with ~400-500 million reads per run.
Links:
Runs: 1 run, 48.7M spots, 7.3G bases, 2.6Gb
Run# of Spots# of BasesSizePublished
SRR990682148,736,5387.3G2.6Gb2019-09-30

ID:
8780788

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