Browse
Submit Data
Databases
API
Help

Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

11 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Genome-wide analysis of gene expression to identify the probably functionally relevant pathways in cervical cancer progression

ABSTRACT: Identification of genes and pathways relevant to Cervical cancer pathogenesis. The study also aimed at identifying probable mechanistic differences in the low and high HOTAIR expressing cervical cancers patients . Total RNA obtained from HPV negative histologically normal controls, HPV16 positive non-malignants and HPV16 positive cervical cancers having either low or high HOTAIR expression levels were compared to identify transcriptome level differences.

ORGANISM(S): Homo sapiens

SUBMITTER: Sweta Sharma

PROVIDER: E-GEOD-67522 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

ACCESS DATA

Json Xml

Similar Datasets

Genome-wide analysis of gene expression to identify the probably functionally relevant pathways in cervical cancer progression

Project description:Identification of genes and pathways relevant to Cervical cancer pathogenesis. The study also aimed at identifying probable mechanistic differences in the low and high HOTAIR expressing cervical cancers patients .

2015-04-02 | GSE67522 | GEO

circularRNA Sequencing of HPV16 positive cervical cancer tissues, HSIL tissues and normal cervical epithelial tissues

Project description:To explore the circRNA expression profiles during the development and progression of cervical cancer, we performed RNA sequencing analysis with ribosomal RNA-depleted in HPV negative normal cervical epithelium, HPV16 positive normal cervical epithelium, HPV16 positive high-grade squamous intraepithelial lesion (HSIL), and HPV16 positive cervical squamous cell carcinoma tissues,6 cases in each group.Totally 66868 circRNAs were identified (Back-spliced junctions reads≥1)

2020-12-21 | GSE147009 | GEO

Quantitative proteomic analysis of tumour tissues isolated from early and late stage human cervical cancer patients

Project description:Human papillomavirus (HPV) infection related malignancy remains a severe public health problem worldwide, although HPV prophylactic vaccine has been introduced 15 years ago . HPV-associated cancers comprise 29.1% of all 2.2 million infection-related cancers, including nearly 100% of cervical cancers1 and some head and neck cancers . Cervical cancers are the 3rd most common cancer in women worldwide, HPV16 and 18 account for about 70% of cervical cancers. Moreover, high-risk HPV infection, especially HPV16 infection, is related to a proportion of head and neck epithelial carcinoma in both developed and undeveloped countries. HPV related cancers are most severe in developing countries where HPV prophylactic vaccination rates are low.In this project, we use iTRAQ8plex-labelling proteomics to comparatively study the protein contents in the tumour tissues of early and late stage cervical cancer patietns.

2023-01-26 | PXD029103 | Pride

Human papillomavirus

Project description:HPV16-positive cervical cell lines

| PRJDB3385 | ENA

Next Generation Sequencing Facilitates Quantitative Analysis of SiHa cells with or without circCDKN2B-AS1 knockdown

Project description:circCDKN2B-AS1 is significantly upregulated circRNA in HPV16 positive cervical cancer tissues comprared with both HPV16 positive and HPV16 negative normal cervical tissues.So we chose it for further study.To explore the mRNA expression profiles following circCDKN2B-AS1 knockdown, we performed RNA sequencing analysis in SiHa cells with or without circCDKN2B-AS1 knockdown.We performed RNA sequencing in two pairs of RNA samples of SiHa cells with or without circCDKN2B-AS1 knockdown.

2020-12-21 | GSE147010 | GEO

Expression data of mRNA and circRNA from HPV16 positive cervical cancer tissues, HSIL tissues and normal cervical epithelial tissues

Project description:CircRNAs have been found to regulate mRNA expression levels and serve an important role in cervix carcinogenesis. To explore the circRNA expression profiles during the development and progression of cervical cancer, we performed microarray analysis with total RNA in normal cervical epithelium(n=7), HPV16 positive high-grade squamous intraepithelial lesion (HSIL)(n=6), and HPV16 positive cervical squamous cell carcinoma tissues(n=7).

2021-02-10 | GSE166466 | GEO

Nuclear Lactate Dehydrogenase A Senses ROS to Produce α-Hydroxybutyrate for HPV-Induced Cervical Tumor Growth

Project description:It is well known that high-risk human papilloma virus (HR-HPV) infection is strongly associated with cervical cancer and E7 was identified as one of the key initiators in HPV-mediated carcinogenesis. Here we show that lactate dehydrogenase A (LDHA) preferably locates in the nucleus in HPV16-positive cervical tumors due to E7-induced intracellular reactive oxygen species (ROS) accumulation. Surprisingly, nuclear LDHA gains a non-canonical enzyme activity to produce α-hydroxybutyrate and triggers DOT1L (disruptor of telomeric silencing 1-like)-mediated histone H3K79 hypermethylation, resulting in the activation of antioxidant responses and Wnt signaling pathway. Furthermore, HPV16 E7 knocking-out reduces LDHA nuclear translocation and H3K79 tri-methylation in K14-HPV16 transgenic mouse model. HPV16 E7 level is significantly positively correlated with nuclear LDHA and H3K79 tri-methylation in cervical cancer. Collectively, our findings uncover a non-canonical enzyme activity of nuclear LDHA to epigenetically control cellular redox balance and cell proliferation facilitating HPV-induced cervical cancer development.

2018-09-24 | PXD011058 | Pride

MicroRNA analysis in HPV-positive and HPV-negative cervical cancer cell lines

Project description:Persistent infection by high-risk human papillomaviruses (HPVs) is associated with the development of cervical cancer and a subset of anogenital and head and neck squamous cell carcinomas. Abnormal expression of cellular microRNAs (miRNAs) plays an important role in the development of cancer, including HPV-related tumors. MiRNA expression profile was investigated by microrray analysis in the HPV-positive cervical cancer cell lines SiHa (HPV16-positive cell line derived from a cervical squamous cell carcinoma), CaSki (HPV16-positive cell line derived from a metastatic cervical epidermoid carcinoma), and HeLa (HPV18-positive cell line derived from a cervical adenocarcinoma) and compared with primary HFKs and C33a (HPV-negative cervical cell line).

2018-01-16 | E-MTAB-6361 | biostudies-arrayexpress

The expression profile analysis of lncRNAs and mRNAs for cervical cancer

Project description:To further explore the expression profile of lncRNAs and mRNAs in cervical cancer, six cases of HPV-positive cervical cancer tissues (including three HPV16 and three HPV18 positive patients) and three HPV-negative normal cervical tissues were collected randomly that were confirmed by histopathological. These patients did not accept any local or systemic treatment.

2023-05-25 | GSE228568 | GEO

Transcriptome analysis of SiHa cells

Project description:This study assessed the transcriptional profile of SiHa cells. SiHa is a cervical cancer cell line with integrated HPV16, and was used as a model to study human gene expression in the context of integrated virus. Gene expression in SiHa, calculated by Cufflinks, was scored in windows around the locations of known viral integrations in patients or cell lines to determine if there was an association between gene expression and viral integration. We found that SiHa gene expression was higher near loci of integration for HPV18 vs. HPV16, cervical tissues vs. head and neck cancers, and cervical cancers vs. in vitro integrations. This study provides insight into the factors that may influence where viruses integrate in the human genome.

2015-11-30 | GSE67115 | 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