Null
Ontology highlight
ABSTRACT:
PROVIDER: PRJEB83336 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| ERR14058100_1.fastq.gz | Fastqsanger.gz | |||
| ERR14058100_2.fastq.gz | Fastqsanger.gz | |||
| ERR14058101_1.fastq.gz | Fastqsanger.gz | |||
| ERR14058101_2.fastq.gz | Fastqsanger.gz | |||
| ERR14058102_1.fastq.gz | Fastqsanger.gz |
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Project description:10 normal squamous cervical epitheilia samples, 7 high grade squamous intraepithelial lesions, and 21 invasive squamous cell carcinomas of the cervix samples were obtained using laser capture miicrodissection. Two rounds of T7-based linear RNA amplification using the Arcturus RiboAmp kit were performed for each sample, and assayed using Affymetrix HG_U133A arrays. Experiment Overall Design: 10 normal squamous cervical epitheilia samples, 7 high grade squamous intraepithelial lesions, and 21 invasive squamous cell carcinomas of the cervix, each from different patients, were each assayed on single HG_U133A arrays. Three additional test samples were also assayed. Experiment Overall Design: The log-transformed probe-set values and the results of the statistical analysis for each probe-set, and the associated README file, are included as Supplementary files.
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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
Project description:10 normal squamous cervical epitheilia samples, 7 high grade squamous intraepithelial lesions, and 21 invasive squamous cell carcinomas of the cervix samples were obtained using laser capture miicrodissection. Two rounds of T7-based linear RNA amplification using the Arcturus RiboAmp kit were performed for each sample, and assayed using Affymetrix HG_U133A arrays. Keywords: disease state analysis
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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.
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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)
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