Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

RNAseq of SKOV3(AA) and SKOV3(CC)

ABSTRACT: To study the effect of rs1192691 on ovarian cancer cells, we generated SKOV3(CC) from SKOV3(A/A) using CRISPR/Cas9 technology and performed RNA-seq.

ORGANISM(S): Homo sapiens

PROVIDER: GSE181884 | GEO | 2022/01/18

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Similar Datasets

RNAseq of SKOV3(AA) and SKOV3(CC)

Project description:RNAseq of SKOV3(AA) and SKOV3(CC)

| PRJNA753808 | ENA

H3K27ac, H3K4me3, H3K27me3 and H3K9me3 ChIPseq of SKOV3(AA) and SKOV3(CC)

Project description:To study the effect of rs1192691 on histone modifications, we performed H3K27ac, H3K4me3, H3K27me3 and H3K9me3 in SKOV3(AA) and SKOV3(CC).

2022-01-18 | GSE182333 | GEO

EZH2 and H3K27ac ChIPseq of SKOV3(AA) and SKOV3(CC)

Project description:EZH2 and H3K27ac ChIPseq of SKOV3(AA) and SKOV3(CC)

| PRJNA771867 | ENA

H3K27ac, H3K4me3, H3K27me3 and H3K9me3 ChIPseq of SKOV3(AA) and SKOV3(CC)

Project description:H3K27ac, H3K4me3, H3K27me3 and H3K9me3 ChIPseq of SKOV3(AA) and SKOV3(CC)

| PRJNA755883 | ENA

knockout of EZH2 inhibits the tumorigenicity of human ovarian cancers cells SKOV3 by targeting steroid biosynthesis

Project description:Ovarian cancer has the highest mortality in gynecologic cancers and most patients are diagnosed in advanced stages. EZH2 has been a major tumor markers and effective therapeutic targets for ovarian cancer, which molecular mechanism remain unclear. The present study was investigated the biological effects on EZH2 knock-out SKOV3 cells in vitro and in vivo experiment, and explore the molecular mechanism by integrated analysis of mRNA-seq and CHIP-seq.  CRISPR/Cas9 system was used to establish the knock-out EZH2 SKOV3 cells. Protein expression was detected by Western blot. The effect of EZH2 in ovarian cancer was detected by MTT assay, wound scratch assay and Transwell assay, apoptosis assay in vitro and xenograft model in vivo. mRNA-seq and CHIP-seq was used to explore the molecular mechanism of biological function of EZH2.

2020-02-22 | GSE145692 | GEO

EZH2 and H3K27ac ChIPseq of SKOV3(AA) and SKOV3(CC)

Project description:A work for studying the effect of rs1192691 on repressing VAV3 enhancer activity via affecting EZH2 enrichment at the SNP location.

2022-01-18 | GSE186025 | GEO

Sequencing in transcriptomes in Ovarian cancer cell line SKOV3 and bevacizumab-treated SKOV3

Project description:To investigate the possible mechanism of bevacizumab resistance in ovarian cancer ,we examined the changes in gene expression of SKOV3 before and after bevacizumab intervention. Results provide insight into molecular mechanisms of acquired resistance to bevacizumab in ovarian cancer.

2023-12-31 | GSE165419 | GEO

Next Generation Sequencing Facilitates Quantitative Analysis of SKOV3 cells overexpression of TNFAIP8L2

Project description:Purpose: Next generation sequencing (NGS) has revolutionized system-based analysis of cellular pathways. The goals of this study are to compare NGS-derived transcriptome profiling of human ovarian cancer cell, SKOV3 cells after endogenous overexpression of TNFAIP8L2 (TIPE2) . Methods: We constructed TIPE2 overexpression SKOV3 cell lines and control vector cell lines with lentivirus. Then the NGS based deep sequencing analysis was generated in triplicate to analyze the critical downstream targets after TIPE2 overexpression using ILLumina GAIIx. Results: The differentially expressed genes were identified using an optimized data analysis workflow, and we identified 49 upregulated and 28 downregulated genes in the SKOV3/TIPE2 group compared with the vector group using a |log2Foldchange|﹥0 and p < 0.05. Conclusions: Our study represents the first detailed analysis of transcriptomes in ovarian cancer cell line after overexpression of TIPE2 by RNA-seq technology.

2022-07-21 | GSE208351 | GEO

Expression data from ovarian cancer SKOV3 human cell line

Project description:CDCP1 and PLAGL2 have been shown to act as oncogenes in several cancer types but little is known about the molecular signalling underlying these processes in ovarian cancer cells. In this study we aim to find the downstream signalling upon their individual silencing in the human ovarian cancer cell line SKOV3. We used microarrays to detail the global programme of gene expression underlying CDCP1 and PLAGL2 signalling in the human ovarian cancer cell line SKOV3

2020-04-12 | GSE113115 | GEO

Differential gene expression profiles between SKOV3.ip1-S116A cells (Ser116 of PEA-15 substituted with alanine) and SKOV3.ip1-S116D cells (Ser116 of PEA-15 substituted with aspartic acid).

Project description:To dissect the molecular mechanisms of PEA-15-mediated paclitaxel sensitization in ovarian cancer cells, we performed cDNA microarray analysis using SKOV3.ip1-S116A cells (Ser116 of PEA-15 substituted with alanine) and SKOV3.ip1-S116D cells (Ser116 of PEA-15 substituted with aspartic acid). cDNA microarray data analysis showed that SCLIP (SCG10-like protein), also known as STMN3, was highly expressed in SKOV3.ip1-S116D cells and was involved in pPEA-15-mediated paclitaxel sensitization in ovarian cancer cells.

2012-05-12 | GSE37934 | GEO

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

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