Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Identification of genes responsive to hypoxia in human cervical epithelial adenocarcinoma HeLa cells

ABSTRACT: It has been well-known that cancer cells acquire approximately three-fold radioresistance under hypoxia than under normoxia due to both radiation chemical and radiation biological mechanisms, causing a negative impact on the outcome of radiation therapy. In the present study, to identify genes responsive to hypoxia in human cervical epithelial adenocarcinoma HeLa cells, global-scale gene expression analysis was carried out using a GeneChip® system.

ORGANISM(S): Homo sapiens

PROVIDER: GSE161393 | GEO | 2020/11/13

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Hela SPAG4 siRNA

Project description:In order to clarify the downstream target genes of SPAG4, we performed knockdown of SPAG4 using siRNA both under normoxia and hypoxia. Hela cells are cultured for 24 hours under normoxia and hypoxia after knocking down of SPAG4 using different sequences of siRNA.

2013-04-16 | E-GEOD-46054 | biostudies-arrayexpress

The Impact of Cycling Hypoxia on the Phenotype of HPV-Positive Cervical Cancer Cells

Project description:Tumor hypoxia affects the aggressiveness and therapy response in solid tumors, including HPV-positive cancers. Cycling hypoxia, characterized by recurrent fluctuations in oxygen supply, is a prevalent, but much less investigated form of tumor hypoxia, and has been associated with a particularly therapy-resistant cancer cell subpopulation. Using mass spectrometry-based quantitative proteome analyses, we compare SiHa cells cultivated under normoxia (21% O2), physoxia (5.5% O2), chronic hypoxia (1% O2) and cycH (repeated cycles of 1 h at 1% O2 and 1 h at 5.5% O2) and assess distinct effects of cycH on the phenotype of HPV-positive cervical cancer cells.

2023-12-07 | PXD044908 | Pride

RNA Seq Analysis of HeLa cell lines Transcriptomes at different condition

Project description:The goal of this study are to compare the transcriptome profiling (RNA-seq) of human cervical cells (HeLa) transcriptome profiling (RNA-seq) under the condition of inhibition of respiratory chain by antimycin A or hypoxia.

2019-10-24 | GSE123571 | GEO

RNA-seq of HeLa cells stably overexpressing SRSF6-GFP grown under normoxic and hypoxic conditions

Project description:We used HeLa cells that overexpress GFP-tagged SRSF6 (4-fold) were grown in normal conditions (Normoxia, 21% oxygen) or hypoxic conditions (Hypoxia, 0.2% oxygen). compared the binding pattern of SRSF6 between normoxia, 4h hypoxia and 24h hypoxia.

2023-01-03 | GSE198308 | GEO

Identification of genes responsive to hypoxia in human cervical epithelial adenocarcinoma HeLa cells

Project description:Identification of genes responsive to hypoxia in human cervical epithelial adenocarcinoma HeLa cells

| PRJNA678012 | ENA

HIF-3α-induced miR-630 expression promotes cancer hallmarks in cervical cancer cells by forming a positive feedback loop [miRNA-seq]

Project description:Hypoxia has crucial functions in cervical cancer development and metastasis by inducing the level of numerous genes, including microRNA genes. But we know little about how the hypoxia factors and microRNAs orchestrate to regulate hallmarks of cervical cancer cells. Here, we show that hypoxia-induced overexpression HIF-3α increased the expression of dozens of miRNAs, including miR-630. Stable overexpression of miR-630 in HeLa cells promotes cancer hallmarks, including radioresistance, inhibition of apoptosis, increased migration and invasion, and EMT-mediated metastasis. Stable inhibition of miR-630 showed opposite features. Further experiment showed the activation of miR-630 was induced by hypoxia treatment. For the molecular mechanism, we used RNA sequencing (RNA-seq) and chromatin immunoprecipitation sequencing experiments (ChIP-seq) to investigate the targets of HIF-3α. We showed that hypoxia induces expression of HIF-3α to activate miR-630 expression by directly binding to its promoter. Meanwhile, miR-630 positively regulates HIF-1α expression, but represses HIF-1α. Taken together, our findings implicate a novel hypoxia-induced HIF3a-miR-630 regulatory feedback loop contributing to metastasis and progression of cervical cancer cells, and suggest HIF3a and miR630 might be applied as a potential biomarker and therapeutic target for cervical cancer.

2023-09-24 | GSE158531 | GEO

HIF-3α-induced miR-630 expression promotes cancer hallmarks in cervical cancer cells by forming a positive feedback loop [RNA-seq]

2023-09-24 | GSE158530 | GEO

HIF-3α-induced miR-630 expression promotes cancer hallmarks in cervical cancer cells by forming a positive feedback loop [ChIP-seq]

2023-09-24 | GSE158529 | GEO

Analysis of gene expression in hypoxic and normoxic HeLa cells.

Project description:The purpose of experiment is to compare the mRNA expression differences between HeLa cells conditioned with normoxia 21% oxygen and hypoxia 1% oxygen at 6h and 20h.

2016-03-11 | GSE79069 | GEO

Transcriptome-wide mapping of RNA:protein interactions of SRSF6 in HeLa cells grown under normoxic and hypoxic conditions by iCLIP

Project description:We used HeLa cells that express GFP-tagged SRSF6 at physiological levels and subjected them to 4 h or 24 h hypoxia (0.2% oxygen). Cells grown in normal conditions were used as control (Normoxia, 21% oxygen). We performed iCLIP using anti-GFP antibodies and compared the binding pattern of SRSF6 between normoxia, 4h hypoxia and 24h hypoxia.

2023-01-03 | GSE198309 | GEO

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