Homo sapiens
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA270397 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Genome-wide DNA methylation profiles in liquid based cytology (LBC) cervical scrapes samples was assessed using the Illumina Infinium Methylation850 BeadChip V1.0B4. The purpose of this study was to identify new candidate genes that are differentially methylated in squamous cell carcinoma compared to the DNA samples from cervical intraepithelial neoplasia grade (CIN) and normal cervical scrapes.
2019-08-14 | GSE134772 | GEO
Project description:The aim of this study was to identify new candidate genes that are differentially methylated in squamous cell carcinoma compared to the DNA samples from cervical intraepithelial neoplasia grade 3 (CIN3) and normal cervical scrapes. The Illumina Infinium Human Methylation 450 K BeadChip method identifies genome-wide DNA methylation changes in CpG islands, CpG shores and shelves.
2014-01-06 | GSE46306 | GEO
Project description:The aim of this study was to identify new candidate genes that are differentially methylated in squamous cell carcinoma compared to the DNA samples from cervical intraepithelial neoplasia grade 3 (CIN3) and normal cervical scrapes. The Illumina Infinium Human Methylation 450 K BeadChip method identifies genome-wide DNA methylation changes in CpG islands, CpG shores and shelves. In this study 20 normal cervical samples (HPV negative), 18 samples with CIN3 lesions (HPV positive) and 6 cervical cancer tissues (HPV positive) were included.
2014-01-06 | E-GEOD-46306 | biostudies-arrayexpress
Project description:Cervical mucus was collected from 86 patients with a normal cervix, cervical intraepithelial neoplasia (CIN), squamous cell carcinoma (SCC), or adenocarcinoma (AD). 76 candidates of miRNAs were selected according to criteria such as absolute value of the signal intensity included more than 20 and the ratio of the SCC/normal or AD/normal included more than four.
2018-05-09 | GSE105409 | GEO
Project description:Analysis of various of up-regulated and down-regulated genes in Normal Cervical mucosa, Cervical intraepithelial neoplasia and Cervical squamous cell carcinoma. The report provides a data analysis methodology for identification of co-expressed gene patterns, as emerging clusters, in global transcriptome of cervical mucosal pre-malignant and malignant conditions in comparison to their normal counterparts. Microarray based study of global gene expression is often used to extract molecular signatures underlying cancer progression. Such endeavors endorse self organizing map, a type of artificial neural network to analyze high dimensional pre-processed transcriptome data to segregate hotspot genes in component plane for disease subtypes. This report provides a data analysis methodology for identification of coexpressed gene patterns, as emerging clusters, in global transcriptome of oral and cervical mucosal premalignant and malignant conditions in comparison to their normal counterparts. Four exclusive cluster patterns, each involving 100 − 300 genes, were identified from component planes for oral study groups. Gene expression associated with each pattern belonged to 32 biological processes. Analysis on cervical biopsies, where cancer was compared to cervical interepithelial neoplasia and normal counterpart, it revealed three non-overlapping patterns for each condition. In cervical interepithelial neoplasia an intermediate pattern with nine different dominant functional processes was identified, whereas, in cervical squamous cell carcinoma pattern showed dominance for seven different functions. This analysis demonstrated utility of self organizing map to capture dominant enriched patterns as visual plots and revealed six common biological processes like transcription and RNA processing, cytoskeleton reorganization, angiogenesis, immunity, neuron signalling, and connective tissue remodelling in the pathogenesis of oral and cervical cancers. In fact it could provide an intuitive understanding of molecular course in carcinogenesis and may contribute for combinatorial biomarker discovery.
2016-02-01 | GSE64217 | GEO
Project description:Serum was collected from 63 patients of Group A with a normal cervix, cervical intraepithelial neoplasia (CIN), squamous cell carcinoma (SCC), or adenocarcinoma (AD) and 33 patients of Group B with a normal cervix or SCC. Three miRNAs (miR-16-5p, -223-3p and -451a) were commonly down-regulated in the Group A and the Group B.
2024-04-18 | GSE229935 | GEO
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
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
Project description:Background. MicroRNAs (miRNAs) are short (~22 nt) non-coding regulatory RNAs that control gene expression at the translational level. Deregulation of miRNA expression has been discovered in a wide variety of tumours and it is now clear that they contribute to cancer development and progression. This prompted the development of miRNA-chips for cancer diagnosis or prognosis, opening a new door to understand carcinogenesis. Cervical cancer is one of the most common cancers in women worldwide. Therefore, there is a strong need for a non-invasive, fast and efficient method to diagnose the disease. We investigated miRNA expression profiles in cervical cancer using a microarray platform developed in house containing probes for mature miRNAs. Results. We have evaluated miRNA expression profiles of a heterogeneous set of cervical tissues from 25 different patients. This set included 19 normal cervical tissues, 4 squamous cell carcinoma, 5 high-grade squamous intraepithelial lesion (HSIL) and 9 low-grade squamous intraepithelial lesion (LSIL) samples. We observed high variability in miRNA expression especially among normal cervical samples, which prevented us from obtaining a unique miRNA expression signature for this tumour type. However, miRNAs deregulation in malignant and pre-malignant cervical tissues was detected after tackling the high variability observed. We were also able to identify putative targets of relevant candidate miRNAs. Conclusions. Our results show that miRNA deregulation may play an important role in the malignant transformation of cervical squamous cells. In addition, deregulated miRNAs highlight new candidate targets allowing a better understanding of the molecular mechanism of this tumour type. In this study we used a common reference design experiment where the common reference used was a commercial RNA from normal cervix (Ambion) and the test samples were 4 pre-treatment squamous cell cervical carcinoma, 7 high-grade Squamous Intraepithelial Lesion (CINII, n=2 and CIN III, n=5) sample, 9 low-grade Squamous Intraepithelial Lesion (CIN I) samples, 19 normal cervix samples and 4 pools of normal cervix samples.
2010-08-01 | E-GEOD-19611 | biostudies-arrayexpress
Project description:We sought to apply the technologies of gene expression profiling to detect genes significant in the aetiology of cervical carcinoma . We investigated 14 normal (NAD), 11 low grade squamous intrapepithelial lesions (LSIL), 21 high grade squamous intraepithelial lesions (HSIL) and 28 squamous cell carcinomas by Affymetrix GeneChip whole transcriptome profiling. Two SCC cell lines were also included in the cohort. Normal and SILS were profiled using the Affymetrix U133A platform, while SCCs and Cell lines were profiled using the Affymetrix U133A plus 2.0 array. This submission describes the transcriptional profiles of a cohort totalling 77 cervical normal, premalignant lesions, and squamous cell carcinomas
2013-09-17 | E-GEOD-27678 | biostudies-arrayexpress