Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Whole exome sequencing of Cervical Squamous samples

ABSTRACT: Whole exome sequencing of Cervical Squamous samples

PROVIDER: PRJEB50605 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other
	ERR8314260_1.fastq.gz	Fastqsanger.gz
	ERR8314260_2.fastq.gz	Fastqsanger.gz
	ERR8314270_1.fastq.gz	Fastqsanger.gz
	ERR8314270_2.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 47

Similar Datasets

Whole exome sequencing of Cervical Squamous samples

Project description:The raw data consist of whole exome sequencing data of cervical squamous samples

2022-02-11 | E-MTAB-11407 | biostudies-arrayexpress

Cervical Adenocarcinoma Whole Exome sequencing

Project description:Cervical Adenocarcinoma Whole Exome sequencing

| PRJEB41309 | ENA

Genomic landscape of carcinogen induced mouse skin squamous cell carcinoma: whole-exome sequencing

Project description:Whole-exome sequencing of induced murine squamous cell carcinoma. 26 samples are included.

2014-09-11 | E-MTAB-2887 | biostudies-arrayexpress

Whole exome sequencing of Lung Squamous Carcinoma Patients of Indian Origin

Project description:The study involves whole exome sequencing of 20 primary tumors obtained from lung squamous carcinoma patients of Indian origin. With this, we aim to describe the mutational profile of this specific subset of lung cancer patients. This knowledge will further allow us to gain an insight into potentially actionable genomic alterations prevalent in Indian lung squamous carcinoma.

2022-02-11 | E-MTAB-8801 | biostudies-arrayexpress

Cervical Adenocarcinoma Whole Exome sequencing

Project description:Raw data of exome sequencing of 17 paired samples and 1 orphan tumor sample, total 18 samples

2022-02-12 | E-MTAB-9766 | biostudies-arrayexpress

Human pre-invasive and invasive cervical squamous cell carcinomas and normal cervical epithelia

2007-12-11 | GSE7803 | GEO

Cervical neoplasia genomes

Project description:Cervical intraepithelial neoplasia (CIN), also known as cervical dysplasia, is premalignant lesions of the cervical squamous cell carcinoma (CSCC) that shows abnormal growth of squamous cells in the cervix epithelium. Given the evidence suggesting that differences may exist between CIN and CSCC, we hypothesize that progression may be mediated by subpopulation selection or by acquisition of additional alterations, including gene mutations or chromosomal alterations. In this study, we analyzed cervical CIN, microinvasive carcinoma (MIC) and CSCC by whole-exome sequencing and array-comparative genomic hybridization (array-CGH) and found that CIN genomes harbored fewer mutations (especially fewer driver mutations) and copy number alterations (CNAs), suggesting that additional genomic alterations might burst onto the CIN genome at the final stage of CIN progression to CSCC or an early stage of CSCC.

2014-12-31 | GSE60067 | GEO

Genome-wide DNA methylation analysis of cervical scrapes samples

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

Whole exome sequencing of TSCC (tongue squamous cell carcinoma)

Project description:Of the multiple anatomical sites represented in oral cancer, squamous cell carcinoma of the tongue (TSCC) shows the highest incidence among younger age group. Chewing betel leaf, areca nut & slaked lime and smoking tobacco are common practises in India which have direct clinical implication in TSCC carcinogenesis. Here, for the first time we define the landscape of genomic alterations in TSCC from the Indian diaspora which would help to identify novel therapeutic targets for clinical intervention and define the genetic basis for TSCC. We performed high throughput sequencing of fifty four tongue samples using whole exome sequencing (n=47, 23 paired normal tumor and 1 unpaired) and transcriptome sequencing (n=17, 10 tumor and 5 normal). Mutation, copy number analysis were carried out using exome sequencing data and transcriptome analysis provided expressed genes and transcript fusions in tongue cancer patients. Further, integrated analysis were performed to identify biologically relevant alterations. Our preliminary analysis revealed presence of most frequently altered mutations in TSCC which includes mutations in TP53, NOTCH1, CDKN2A, USP6, KMT2D etc, consistent with literature. We observed high frequency of CG/T(GC/A) transversions in non-CpG islands, a signature associated with tobacco exposure. Somatic copy number analysis revealed copy number gain in known hallmarks such as CCND1, MYC, ORAOV1 genes along with copy number alteration in novel genes. Significant positive correlation was observed in the genes harbouring copy number gains and showing increased expression.

2018-05-31 | E-MTAB-4653 | biostudies-arrayexpress

Transcription profiling of human pre-invasive and invasive cervical squamous cell carcinomas and normal cervical epithelia

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.

2008-06-15 | E-GEOD-7803 | biostudies-arrayexpress

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