Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Next Generation Sequencing Facilitates Quantitative Analysis of mock oligodendrocytes (Ols) and tdTomato+ and tdTomato- Ols Transcriptomes.

ABSTRACT: Next Generation Sequencing Facilitates Quantitative Analysis of mock oligodendrocytes (Ols) and tdTomato+ and tdTomato- Ols Transcriptomes.

PROVIDER: PRJNA625280 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	SRR11544527.fastq.gz	Fastqsanger.gz
	SRR11544528.fastq.gz	Fastqsanger.gz
	SRR11544529.fastq.gz	Fastqsanger.gz
	SRR11544530.fastq.gz	Fastqsanger.gz
	SRR11544531.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 12

Similar Datasets

Next Generation Sequencing Facilitates Quantitative Analysis of mock oligodendrocytes (Ols) and tdTomato+ and tdTomato- Ols Transcriptomes.

Project description:Purpose: Comparision transcriptomes of isolated tdTomato+ and tdTomato- OLs from the brains and spinal cords of infected mice at 30 dpi to those of OLs isolated from mock-infected central nervous system (CNS) samples by nextgen sequencing Methods: Brains and spinal cords were harvested at day 30 p.i. and processed as described above. After Live/Dead staining and treatment with Fc block, OLs were identified using APC-anti-O4 (1:50; Miltenyi). RNA was extracted from sorted OLs using an RNeasy Micro Kit (Qiagen). RNA sequence analysis was performed at the University of Minnesota Genomics Center. Results: We identified 158 and 115 genes, that showed a significant difference (p<0.05) when tdTomato+ and tdTomato- cells were compared to cells from mock-infected mice, respectively, with 61 mRNAs common to both tdTomato- and tdTomato+ cells

2020-04-15 | GSE148650 | GEO

Next Generation Sequencing Facilitates Quantitative Analysis of Mock/MASCp36 infected mouse lung Transcriptomes

Project description:Next Generation Sequencing Facilitates Quantitative Analysis of Mock/MASCp36 infected mouse lung Transcriptomes

| PRJNA701942 | ENA

Next Generation Sequencing Facilitates Quantitative Analysis of Mock/ZIKV infected Guinea Pig Lung Transcriptomes

Project description:Next Generation Sequencing Facilitates Quantitative Analysis of Mock/ZIKV infected Guinea Pig Lung Transcriptomes

| PRJNA865378 | ENA

Real-time quantitative PCR analysis of mouse brainstem oligodendrocytes, mouse cerebellum oligodendrocytes and baboon cerebellum oligodendrocytes

Project description:Real-time quantitative PCR analysis of mouse brainstem oligodendrocytes, mouse cerebellum oligodendrocytes and baboon cerebellum oligodendrocytes

| PRJNA752773 | ENA

Next Generation Sequencing Facilitates Quantitative Analysis of Mock- and Hydrogen peroxide (H2O2)-Treated Human Hepatocellular Carcinoma (HCC) Cell Transcriptomes

Project description:Purpose: Next-generation sequencing (NGS) has revolutionized systems-based analysis of cellular pathways. The goals of this study are to compare NGS-derived H2O2-treated HCC transcriptome profiling (RNA-seq) to NGS-derived mock-treated HCC transcriptome profiling. Methods: HCC mRNA profiles of mock-treated Huh7 cells and H2O2-treated Huh7 cells were generated by deep sequencing, in duplicate, using Illumina Pipeline (CASAVA) v1.8.2. The sequence reads that passed quality filters were analyzed at the transcript isoform level with TopHat followed by Cufflinks. qRT–PCR validation was performed using TaqMan and SYBR Green assays Results: RNA-seq data validated with qRT–PCR. RNA-seq data had a linear relationship with qRT–PCR for more than four orders of magnitude and a goodness of fit (R2) of 0.90. Conclusions: We conclude that our study represents the first detailed analysis of H2O2-treated HCC cells transcriptomes compared to mocke-treated HCC cells, with biologic replicates, generated by RNA-seq technology.

2021-01-30 | GSE109915 | GEO

Next Generation Sequencing Facilitates Quantitative Analysis of Mock/ZIKV Infected AG6 Mice Olfactory Mucosa and Olfactory Bulb Transcriptomes

Project description:Next Generation Sequencing Facilitates Quantitative Analysis of Mock/ZIKV Infected AG6 Mice Olfactory Mucosa and Olfactory Bulb Transcriptomes

| PRJNA885875 | ENA

Real-time quantitative PCR analysis of baboon cerebellum oligodendrocytes

Project description:Oligodendrocytes were aspirated after electrophysiology recordings for qPCR analysis from cerebellum slices

2021-08-08 | GSE181633 | GEO

Real-time quantitative PCR analysis of mouse cerebellum oligodendrocytes

Project description:Oligodendrocytes were aspirated after electrophysiology recordings for qPCR analysis from cerebellum slices

2021-08-08 | GSE181631 | GEO

Real-time quantitative PCR analysis of mouse brainstem oligodendrocytes

Project description:Oligodendrocytes were aspirated after electrophysiology recordings for qPCR analysis from cerebellum slices

2021-08-08 | GSE181630 | GEO

Global proteome of Atg5flox:Slc32a1-Cre:tdTomato FACS sorted WT and KO neurons

Project description:The experiment was performed to identify autophagy targets in wildtype and autophagy-deficient forebrain inhibitory neurons. Therefore, neurons were isolated from the cortex, hippocampus and striatum of 2-3 weeks old Atg5flox/flox:Slc32a1-Cretg/wt:tdTomato+ (KO) and Atg5wt/wt:Slc332a1-Cretg/wt:tdTomato+ (WT) mice. Neurons in suspension were FACS sorted and inhibitory forebrain neurons expressing tdTomato were forwarded to global proteome analysis assessed by LC-MS/MS.

2022-11-15 | PXD031535 | Pride

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data