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 Wild Type and Ccn2a-/- cardiac ventricular Transcriptomes

ABSTRACT: Next Generation Sequencing Facilitates Quantitative Analysis of Wild Type and Ccn2a-/- cardiac ventricular Transcriptomes

PROVIDER: PRJNA690939 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Similar Datasets

Next Generation Sequencing Facilitates Quantitative Analysis of Wild Type and Ccn2a-/- cardiac ventricular Transcriptomes

Project description:Purpose: The goal of this study is to compare transcriptome level between 4 dpci wild-type and ccn2a-/- zebrafish cardiac ventricle. Methods: 4-days-post cryoinjured cardiac ventricular mRNA profiles of wild-type (WT) and cellular communication network factor 2a mutant (ccn2a−/−) zebrafish were generated by deep sequencing, in duplicate. Results: 7 genes showed differential expression between the WT and ccn2a−/− heart, with a fold change ≥1.5 and p value <0.05. Altered expression of all genes was confirmed with qRT–PCR. Conclusions: Our study represents the detailed analysis of 4 dpci wild-type and ccn2a-/- cardiac ventricular transcriptomes, with biologic replicates, generated by RNA-seq technology. The optimized data analysis workflows reported here should provide a framework for comparative investigations of expression profiles. Our results show that 7 genes were dysregulated in 4 dpci ccn2a-/- cardiac ventricle. We concluded, this analysis helped us to identify downstream signalling cascade of Ccn2a in injured zebrafish heart."

2021-01-12 | GSE164491 | GEO

Next-generation sequencing facilitates quantitative analysis of atrial and ventricular cardiomyocytes transcriptomes

Project description:To investigate the chamber selective transcriptional programs, we performed RNA-seq on purified cardiomyocytes. Totally we have 5 replicates for atrial cardiomyocytes and 5 replicates for ventricular cardiomyocytes.

2023-01-31 | GSE215021 | GEO

Next Generation Sequencing of TMAO (Trimethylamine N-oxide)-treated Cardiac Transcriptomes

Project description:To investigate the mechanism how TMAO deteriorates cardiac dysfunction in murine left ventricular pressure overload model, we performed RNA-seq analysis with cardiac tissue from TMAO-treated mice.

2020-04-01 | GSE129756 | GEO

Next Generation Sequencing Facilitates Quantitative Analysis of Wild Type and Sdhaf4-/- Cardiac Transcriptomes

Project description:Next Generation Sequencing Facilitates Quantitative Analysis of Wild Type and Sdhaf4-/- Cardiac Transcriptomes

| PRJNA687666 | ENA

Next Generation Sequencing Facilitates Quantitative Analysis of Wild Type and Sdhaf4-/- Cardiac Transcriptomes

Project description:Cardiac mRNA profiles of 2-month-old wild-type (WT) and muscle Sdhaf4 knockout (Sdhaf4−/−) mice were generated by deep sequencing, in 6 repeats, usingIllumina HiSeqTM. HTSeq v0.9.1 was used to count the reads numbers mapped to each gene. Genes with an adjusted P-value <0.05 found by DESeq were assigned as differentially expressed. Corrected P-value of 0.005 and log2 (Fold change) of 1 were set as the threshold for significantly differential expression.

2022-03-24 | GSE163809 | GEO

Next-generation sequencing facilitates quantitative analysis of wild-type and Nrl(-/-) retinal transcriptomes.

Project description: Not available

| S-EPMC3233386 | biostudies-literature

Next Generation Sequencing Facilitates Quantitative Analysis of Solanum lycopersicum bud and flower Transcriptomes

Project description:Next Generation Sequencing Facilitates Quantitative Analysis of Solanum lycopersicum bud and flower Transcriptomes

2021-02-27 | GSE164382 | GEO

Next Generation Sequencing Facilitates Quantitative Analysis of Wild Type and smyd4 mutant zebrafish cardiac transcriptomes

Project description:Next Generation Sequencing Facilitates Quantitative Analysis of Wild Type and smyd4 mutant zebrafish cardiac transcriptomes

| PRJNA431371 | ENA

Next Generation Sequencing Facilitates Quantitative Analysis of Normal Human Kidney Transcriptomes

Project description:Next-generation sequencing (NGS) has revolutionized systems-based analysis of cellular pathways. The goals of this study are to compare NGS-derived normal human kidney transcriptome profiling (RNA-seq) to microarray and quantitative reverse transcription polymerase chain reaction (qRT–PCR) methods and to evaluate protocols for optimal high-throughput data analysis The kidney tissue was immediately placed and stored in RNAlater® (Ambion), according to the manufacturer’s instruction. The tissue was manually microdissected under microscope in RNAlater® pool for glomerular and tubular compartment. Dissected tissue was homogenized and RNA was prepared using RNAeasy mini columns (Qiagen, Valencia, CA, US), according to the manufacturer’s instructions. RNA quality and quantity were determined using the Laboratory-on-Chip Total RNA PicoKit Agilent BioAnalyzer. Only samples without evidence of degradation were further used (RNA Integrity Number >6).

2014-08-06 | E-GEOD-60119 | biostudies-arrayexpress

Next Generation Sequencing Facilitates Quantitative Analysis of CHAA Transcriptomes

Project description:Next Generation Sequencing Facilitates Quantitative Analysis of CHAA Transcriptomes

| PRJNA725272 | ENA