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 Human Normal Tissues and Epileptic Tissues

ABSTRACT: Next Generation Sequencing Facilitates Quantitative Analysis of Human Normal Tissues and Epileptic Tissues

PROVIDER: PRJNA770246 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	SRR16289065_1.fastq.gz	Fastqsanger.gz
	SRR16289065_2.fastq.gz	Fastqsanger.gz
	SRR16289066_1.fastq.gz	Fastqsanger.gz
	SRR16289066_2.fastq.gz	Fastqsanger.gz
	SRR16289067_1.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 14

Similar Datasets

Next Generation Sequencing Facilitates Quantitative Analysis of Human Normal Tissues and Epileptic Tissues

Project description:Epilepsy is a neurological disease that causes serious implications on the quality of life of an individual. Through this study, we aimed to identify regulatory noncoding RNAs and mRNAs involved in Epilepsy. A RNA-seq analysis was conducted to determine epilepsy-related noncoding RNAs and mRNAs. In summary, the newly identified circRNAs in networks and signaling pathways found in this study would provide hints for the development of novel prognostic, diagnostic, and therapeutic strategies for Epilepsy.

2024-10-11 | GSE185632 | GEO

Next Generation Sequencing Facilitates Quantitative Analysis of miRNAs in hepatic fibrosis and normal tissues.

Project description:Aim: Hepatic fibrosis is a major worldwide medical problem and can develop into liver cirrhosis and hepatocellular carcinoma(HCC). Until now, there are no effective drugs for liver ?brosis because the molecular mechanism of progression of liver fibrosis is not fully understood. MicroRNAs (miRNAs) are an important class of small non-coding functional RNAs that play a key role in many biological processes. The purpose of this study was to clarify how the aberrant expression of miRNAs participates in development of the liver fibrosis in rat liver fibrosis model. Methods: Fibrotic and paired normal liver tissues were collected and assesssed by deep sequencing technology. MiRNA pro?ling results were validated by quantitative real-time polymerase chain reaction (qRT-PCR) and bioinformatics was used to predict miRNA targets. Results: Nine deregulated miRNAs were induced in porcine serum (PS)-induced hepatic fibrosis versus normal liver. Further analysis revealed several signaling pathways (e.g., gap junction and neuroactive ligand-receptor interaction) may be associated with hepatic fibrogenesis. Conclusion: Several miRNAs are dysregulated in PS-induced hepatic fibrosis and seem to be closely associated with hepatic fibrogenesis. These results provide an experimental basis for understanding the mechanism of hepatic fibrosis. We sequenced two samples, including case and control. Each sample has two replicates.

2015-06-04 | E-GEOD-54028 | biostudies-arrayexpress

Next Generation Sequencing Facilitates Quantitative Analysis of keloid and normal skin

Project description:Next Generation Sequencing Facilitates Quantitative Analysis of keloid and normal skin

| PRJNA635913 | ENA

Next Generation Sequencing Facilitates Quantitative Analysis of GlyTranscriptomes

Project description:Next Generation Sequencing Facilitates Quantitative Analysis of GlyTranscriptomes

| PRJNA714886 | ENA

Next Generation Sequencing Facilitates Quantitative Analysis of miRNA

Project description:Next Generation Sequencing Facilitates Quantitative Analysis of miRNA

| PRJNA319909 | ENA

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 miRNAs in hepatic fibrosis and normal tissues.

Project description:Aim: Hepatic fibrosis is a major worldwide medical problem and can develop into liver cirrhosis and hepatocellular carcinoma(HCC). Until now, there are no effective drugs for liver ﬁbrosis because the molecular mechanism of progression of liver fibrosis is not fully understood. MicroRNAs (miRNAs) are an important class of small non-coding functional RNAs that play a key role in many biological processes. The purpose of this study was to clarify how the aberrant expression of miRNAs participates in development of the liver fibrosis in rat liver fibrosis model. Methods: Fibrotic and paired normal liver tissues were collected and assesssed by deep sequencing technology. MiRNA proﬁling results were validated by quantitative real-time polymerase chain reaction (qRT-PCR) and bioinformatics was used to predict miRNA targets. Results: Nine deregulated miRNAs were induced in porcine serum (PS)-induced hepatic fibrosis versus normal liver. Further analysis revealed several signaling pathways (e.g., gap junction and neuroactive ligand-receptor interaction) may be associated with hepatic fibrogenesis. Conclusion: Several miRNAs are dysregulated in PS-induced hepatic fibrosis and seem to be closely associated with hepatic fibrogenesis. These results provide an experimental basis for understanding the mechanism of hepatic fibrosis.

2015-06-04 | GSE54028 | GEO

Next Generation Sequencing Facilitates Quantitative Analysis of Wild Type and β-cateninΔ(ex3)/+ liver tissues Transcriptomes

Project description:Next Generation Sequencing Facilitates Quantitative Analysis of Wild Type and β-cateninΔ(ex3)/+ liver tissues Transcriptomes

| PRJNA780895 | ENA

Next Generation Sequencing Facilitates Quantitative Analysis of CHAA Transcriptomes

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

| PRJNA725272 | ENA

Next Generation Sequencing Facilitates Quantitative Analysis of GSL1 function

Project description:Next Generation Sequencing Facilitates Quantitative Analysis of GSL1 function

| PRJNA1005934 | ENA