Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

MiRNA expression profiles of HPV-infected cervical cancer patients in the Uyghur population in China

ABSTRACT: The study examined the infection state of HPV in the Uyghur population with cervical cancer, followed by genotyping to determine the variation in the types of HPV. Using microRNA microarray technology, differential gene expression between HPV-infected cervical cancer and uninfected normal cervical tissues was determined. The microarray results were verified by qRT-PCR using 20 sets of HPV-infected cervical cancer and uninfected cervical tissues.

ORGANISM(S): Homo sapiens

PROVIDER: GSE86100 | GEO | 2016/08/27

SECONDARY ACCESSION(S): PRJNA340253

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Genome-Wide Host Methylation Profiling of Anal and Cervical Carcinoma [cervical]

Project description:HPV infection results in changes in host gene methylation which, in turn, are thought to contribute to the neoplastic progression of HPV-associated cancers. The objective of this study was to identify joint and disease-specific genome-wide methylation changes in anal and cervical cancer as well as changes in high-grade pre-neoplastic lesions. Formalin-fixed paraffin-embedded (FFPE) anal tissues (n=143; 99% HPV+) and fresh frozen cervical tissues (n=28; 100% HPV+) underwent microdissection, DNA extraction, HPV genotyping, bisulfite modification, DNA restoration (FFPE) and analysis by the Illumina HumanMethylation450 Array.

2021-11-29 | GSE186835 | GEO

Genome-Wide Host Methylation Profiling of Anal and Cervical Carcinoma [anal]

2021-11-29 | GSE186858 | GEO

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

HPV genome expression at invasive cervical carcinomas infected by multiple HPV genotypes

Project description:Multiple HPV genotypes infection is frequently detected in HPV+ cervical lesions, however it is not well stablished how is the different viral interaction during the carcinogenic process. Here we carried out a comprehensive study to characterize the multiple HPV genome expression and integration by RNA-Seq analysis in 19 invasive cervical carcinomas with HPV coinfections. Analysis of tumoral DNA by a hybridization kit indicated multi-infection ranging from 2 to 6 different HPV genotypes, without a preferential species coinfection. The expression analysis showed that a single HPV genotype preferentially expressed its genome, might indicating a competition between the infecting virus. Finally, the search for HPV/human chimeric transcripts indicated integration from just one HPV in almost all samples, corroborating the expression findings.

2021-07-28 | GSE144293 | GEO

microRNA expression profiling in HPV-16/HIV associated Cervical Cancer

Project description:Identifying the differentially expressed miRNAs in Cervical cancer patients infected with only one virus i.e. either HIV or HPV-16 and patients infected with both viruses HIV and HPV-16 with respect to their controls which is the healthy population not infected by either HIV or any HPV The miRNA array was performed using the affymetrix GeneChip® miRNA 3.0 Array (Affymetrix, Santa Clara, California, United States). The chip was processed using a commercial Affymetrix array service (GeneTech Biotechnology Limited Company, Shanghai, China). The affymetrix GeneChip® miRNA 3.0 Array contains 2,999 probe sets unique to human, mouse and rat pre-miRNA hairpin sequences, 2,216 human snoRNA and scaRNA probe sets and covers 153 organisms (19,724 probe sets). Raw data sets were extracted from all Cel files (raw intensity file) after scanning of slides. These raw data sets were separately analyzed using Expression Console and GeneSpring GX12.5 software followed by differential miRNA expression, fold change & cluster analysis.

2018-08-01 | GSE81137 | 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

HPV genome expression at invasive cervical carcinomas infected by multiple HPV genotypes

Project description:HPV genome expression at invasive cervical carcinomas infected by multiple HPV genotypes

| PRJNA603319 | ENA

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

Genome-wide microRNA profiling of HPV-positive self-samples: Promising triage markers for early detection of cervical cancer

Project description:Offering self-sampling for HPV testing improves the effectiveness of current cervical screening programs. Molecular triage markers directly applicable on self-samples are needed to further stratify HPV-positive women at risk of cervical cancer (so-called triage) and to avoid over-referral and overtreatment. MicroRNAs (miRNAs) deregulation has been implicated in the development of cervical cancer, and represents a potential class of triage markers. However, it is unknown whether deregulated miRNA expression is reflected in self-samples. This study is the first to establish genome-wide miRNA profiles in HPV-positive self-samples to identify miRNAs that can predict the presence of CIN3 and cervical cancer in self-samples. Small RNA sequencing (sRNA-Seq) was conducted to determine genome-wide miRNA expression profiles in 73 HPV-positive self-samples of women with and without cervical precancer (CIN3). The optimal miRNA marker panel for CIN3 detection was determined by GRidge, a penalized method on logistic regression. Classification of sRNA-Seq data yielded a panel of 9 miRNAs with a combined Area Under the Curve (AUC) of 0.89 for CIN3 detection. Six out of nine miRNAs were validated by qPCR in 165 independent HPV-positive self-samples and resulted in a combined AUC of 0.72 for CIN3+ detection. This study shows that deregulated miRNA expression associated with CIN3 and cervical cancer development can be detected in HPV-positive self-samples using genome-wide miRNA profiling. Further validation by qPCR indicates that miRNA expression analysis offers a promising novel molecular triage strategy for CIN3 and cervical cancer detection applicable to self-samples.

2018-01-01 | GSE104758 | GEO

Genome-wide profiling of cervical RNA-binding proteins identified HPV regulation of RNASEH2A expression by viral E7 and E2F1

Project description:RNA-binding proteins (RBPs) have been shown to control mRNA processing, stability, transport, editing and translation. Application of large-scale quantitative technologies has facilitated genome-wide identification of RBPs and linked their defects to human diseases and carcinogenesis. We have recently conducted transcriptome analysis comparing normal cervical tissues with HPV-positive cervical cancer tissues by using two different RNA-seq platforms. As the results, 614 differentially expressed protein-coding transcripts were identified, which are enriched in cancer related pathways and consist of 95 known RBPs. TaqMan RT-qPCR was used to verify altered expression of 26 genes with a cohort of 72 cervical samples, including 24 normal cervical, 25 CIN 2-3, and 23 cervical cancer tissues. LY6K, FAM83A, CELSR3, ASF1B, IQGAP3, SEMA3F, CLDN10, MSX1, CXCL5, ASRGL1, ELAVL2, GRB7, KHSRP, NOVA1, PTBP1 and RNASEH2A were identified being novel candidates in association with cervical lesion progression and carcinogenesis. We further demonstrated that HPV16 or HPV18 infection leads to altered expression of 8 RBP genes (CDKN2A, ELAVL2, GRB7, HSPB1, KHSRP, NOVA1, PTBP1, and RNASEH2A) in human vaginal and foreskin keratinocytes. While both viral E6 and E7 decrease NOVA1 expression, viral E7 was found to increase the expression of both RNASEH2A and PCNA in an E2F1 dependent manner, two key factors closely associated with the progression of cervical neoplasia. By illustration of the first comprehensive cervical genome expression atlas, we have identified the altered expression of many novel genes due to HPV infection, which could be biomarkers for better diagnosis and treatment of cervical cancer.

2019-04-25 | GSE113942 | 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