Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Genome-wide R-loop distribution in Drosophila photoreceptor neurons throughout aging

ABSTRACT: Genome-wide R-loop distribution in Drosophila photoreceptor neurons throughout aging

PROVIDER: PRJNA730035 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	SRR14551654_1.fastq.gz	Fastqsanger.gz
	SRR14551654_2.fastq.gz	Fastqsanger.gz
	SRR14551655_1.fastq.gz	Fastqsanger.gz
	SRR14551655_2.fastq.gz	Fastqsanger.gz
	SRR14551656_1.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 20

Similar Datasets

Genome-wide R-loop distribution in Drosophila photoreceptor neurons throughout aging

Project description:We report the application of R-loop mapping in a cell-type specific context using photoreceptor neurons at different ages, as measured by days post eclosion (Day 10, Day 30 and Day 50). To validate our approach, we also performed R-loop mapping in 10 day old nuclei that were treated with RNAse H1 for 3 hours prior to application of MapR.

2021-12-31 | GSE174488 | GEO

FANC1 affects R-loop distribution resulting in tumor progression in LUAD

Project description:To plot the R-loop landscape of LUAD cells, we conducted DRIP-seq using S9.6, an anti-DNA/RNA hybrid antibody.We next tested the effect of FANCI deficiency on R-loop distribution and found that FANCI knockout clearly altered the R-loop landscape, showing a strong loss trend.Our analysis revealed that changes in R-loop distribution mediated by FANCI deficiency blocks the activity of the Ras signaling pathway, thereby suppressing tumor-cell proliferation and dissemination. Importantly, our study highlights the causal role of FANCI-mediated changes in R-loop distribution that leads to LUAD development

2023-11-23 | GSE248308 | GEO

Transcriptomic profiling of microglia and astrocytes throughout aging

Project description:Transcriptomic profiling of microglia and astrocytes throughout aging

| PRJNA564299 | ENA

FANC1 affects R-loop distribution resulting in tumor progression in LUAD

Project description:FANC1 affects R-loop distribution resulting in tumor progression in LUAD

| PRJNA1043195 | ENA

Evaluation of ORC and Mcm2-7 Distribution Throughout the Drosophila Kc Cell Cycle

Project description:Evaluation of ORC and Mcm2-7 Distribution Throughout the Drosophila Kc Cell Cycle

| PRJNA269387 | ENA

Genome-wide distribution of chromatin accessibility and transcriptome of Set2-deficient Drosophila photoreceptor neurons

Project description:Genome-wide distribution of chromatin accessibility and transcriptome of Set2-deficient Drosophila photoreceptor neurons

| PRJNA834097 | ENA

Genome-wide distribution of chromatin accessibility and transcriptome of Set2-deficient Drosophila photoreceptor neurons

Project description:We report the chromatin accessibility landscape and transcriptome of Drosophila photoreceptor neurons that are Set2-deficient (via siRNA) obtained using a tissue-specific approach from 10-day old flies

2022-12-31 | GSE202053 | GEO

Photoreceptor Otx2 cKO

Project description:Photoreceptor Otx2 cKO

| PRJNA574601 | ENA

Transcriptome profiling of developing photoreceptor subtypes reveals candidate genes for avian photoreceptor diversification

Project description:Purpose: Avian photoreceptors are a diverse class of neurons, comprised of four single cones, the two members of the double cone, and rods. Many distinctive features of photoreceptor subtypes, including spectral tuning, oil droplet size and pigmentation, synaptic targets and spatial patterning, have been well characterized, but the molecular mechanisms underlying these attributes have not been explored. Furthermore, the signaling events and transcriptional regulators driving the differentiation of these diverse photoreceptors are currently unknown. Methods: To identify genes specifically expressed in distinct chicken (Gallus gallus) photoreceptor subtypes, we developed fluorescent reporters that label photoreceptor subpopulations, isolated these subpopulations using fluorescence-activated cell sorting, subjected them to next-generation sequencing, and conducted differential expression analysis. Results: We identified hundreds of differentially expressed genes from photoreceptor subpopulations labeled with rhodopsin, red opsin, green opsin, and violet opsin reporters. These genes are involved in a variety of processes, including phototransduction, transcriptional regulation, cell adhesion, maintenance of intra- and extra-cellular structure, and metabolism. Of particular note are a variety of differentially expressed transcription factors, which may drive and maintain photoreceptor diversity, and cell adhesion molecules that may mediate spatial patterning of photoreceptors and act to establish retinal circuitry. Conclusions: These analyses provide a framework for future studies that will dissect the role of these various factors in the differentiation of avian photoreceptor subtypes. mRNA expression profiling of 5 pairs of photoreceptor subtypes isolated from chicken retinal explants, 3 replicates per sample

2014-09-01 | E-GEOD-59850 | biostudies-arrayexpress

Transcriptome profiling of developing photoreceptor subtypes reveals candidate genes for avian photoreceptor diversification

2014-09-01 | GSE59850 | GEO