Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Identification of differentially expressed Long Non-coding RNA profiles in advanced gastric cancer

ABSTRACT: identification of differentially expressed Long Non-coding RNA profiles in advanced gastric cancer

PROVIDER: PRJNA868303 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	SRR21003420_1.fastq.gz	Fastqsanger.gz
	SRR21003420_2.fastq.gz	Fastqsanger.gz
	SRR21003421_1.fastq.gz	Fastqsanger.gz
	SRR21003421_2.fastq.gz	Fastqsanger.gz
	SRR21003422_1.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 12

Similar Datasets

identification of differentially expressed Long Non-coding RNA profiles in advanced gastric cancer

Project description:Long non-coding RNAs (lncRNAs) may contribute to tumorigenesis and cancer progression by regulating the gene in various cancers, including advanced gastric cancer (AGC). To investigate differentially expressed lncRNAs in AGC, we use whole transcriptome sequencing in 3 pairs of human gastric adenocarcinoma and the corresponding normal tissues.

2023-08-10 | GSE210909 | GEO

Differentially expressed genes in normal gastric mucosa and gastric cancer tissues

Project description:Differentially expressed genes in normal gastric mucosa and gastric cancer tissues

| PRJNA487176 | ENA

Differentially expressed genes in normal gastric mucosa and gastric cancer tissues

Project description:To identify the differentially expressed genes in normal gastric mucosa and gastric cancer tissues, we employed the microarray profiling analysis. Genes with greater than 2-fold change and P-value ＜0.05 were identified as differentially expressed genes. From this dataset, we obtained differentially expressed genes by cluster analysis and enriched GOs was identified by Gene set enrichment analysis (GSEA) analysis, microtubule GO was one of the most enriched GOs, and the gene KIF14 was selected to go on to the next step in the study.

2018-08-23 | GSE118897 | GEO

Identification of differentially expressed miRNAs after overexpression of UBE2CP3 in gastric cancer

Project description:Identification of differentially expressed miRNAs after overexpression of UBE2CP3 in gastric cancer

| PRJNA687673 | ENA

Early and advanced gastric cancer genomes

2014-06-30 | GSE57176 | GEO

Identification of differentially expressed miRNAs after knockdown of ELF3-AS1 in gastric cancer

Project description:Identification of differentially expressed miRNAs after knockdown of ELF3-AS1 in gastric cancer

| PRJNA678706 | ENA

Differentially expressed genes related to lymph node metastasis in advanced laryngeal squamous cell cancers

Project description:Differentially expressed genes related to lymph node metastasis in advanced laryngeal squamous cell cancers

| PRJNA833026 | ENA

Characterization of differentially expressed genes involved in pathways associated with gastric cancer

Project description:To explore the patterns of gene expression in gastric cancer, a total of 32 paired gastric cancer and noncancerous tissues from patients were collected for gene expression microarray analyses. Limma methods were applied to analyze the data, and genes were considered to be significantly differentially expressed if the False Discovery Rate (FDR) values < 0.01, P-value < 0.01 and the fold change >2. Subsequently, Gene Ontology (GO) analysis was used to analyze the main functions of the differentially expressed genes. According to the Kyoto Encyclopedia of Genes and Genomes (KEGG) database, we found pathways significantly associated with the differential genes. Gene-Act network and Co-Expression networks were built respectively based on the relationships among the genes, proteins and compounds in the database. There were 2371 differential mRNAs and 350 differential lncRNAs in our microarray data. The GO categories, pathway analyses and the Gene-Act network showed a consistent result that up-regulated genes were involved in tumorigenesis, migration, angiogenesis and microenvironment formation, while down-regulated genes were involved in metabolism. The results of this study provide some novel findings on genes, pathways and the co-expression network in gastric cancer which will be useful to guide further investigation and target therapy for this disease. 32 gastric cancer tissues and 32 paired noncancerous tissues were collected for this microarray analysis.

2015-02-11 | E-GEOD-65801 | biostudies-arrayexpress

Early and advanced gastric cancer genomes

Project description:Early gastric cancers (EGC) precede advanced gastric cancers (AGC) with a favorable clinical outcome compared to advanced gastric cancers (AGC). To understand the progression mechanisms of EGC to AGC, it is required to disclose the EGC and AGC genomes in terms of the the mutational and evolutionary perspectives. In this study, we performed whole-exome sequencing and copy number profiling of nine microsatellite (MS)-unstable (MSI-H) (5 EGC and 4 AGC) and eight MS-stable (MSS) gastric cancers (4 EGC and 4 AGC). Unexpectedly, we observed no substantial differences in the number, sequence composition and functional consequences (potential driver mutations and affected pathways) of the mutations and CNAs between EGC and AGC genomes in both MSI-H and MSS cases. Gastrectomy tissues from 17 GC patients were used for this study. The hospital pathology department confirmed pathologic features of the GC (e.g., EGC vs. AGC, differentiation, lymph node metastasis and TNM stage). All of the picked areas from tumor and normal areas were frozen, cut, and stained with hematoxylin & eosin (H&E). Two pathologists selected cases with rich tumor cell population (at least 60%), which were subsequently used in the study. Copy number profiling was performed using Agilent 180K platform according to the manufacturer's protocol.

2014-06-30 | E-GEOD-57176 | biostudies-arrayexpress

Characterization of differentially expressed genes involved in pathways associated with gastric cancer

2015-02-11 | GSE65801 | GEO