Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Identification of transcriptomic drivers of squamous cell carcinoma development through a preneoplastic intermediate

ABSTRACT: Identification of transcriptomic drivers of squamous cell carcinoma development through a preneoplastic intermediate

PROVIDER: PRJNA328257 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	SRR3779060.fastq.gz	Fastqsanger.gz
	SRR3779070.fastq.gz	Fastqsanger.gz
	SRR3779180.fastq.gz	Fastqsanger.gz
	SRR3779190.fastq.gz	Fastqsanger.gz
	SRR3779200.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 133

Similar Datasets

Identification of transcriptomic drivers of squamous cell carcinoma development through a preneoplastic intermediate [mouse RNA-Seq]

Project description:Cutaneous squamous cell carcinoma (cuSCC) comprises 15-20% of all skin cancers, accounting for over 700,000 cases in the U.S. annually. Most cuSCC arise in association with a distinct precancerous lesion, the actinic keratosis (AK). In order to identify potential targets for molecularly targeted chemoprevention, we performed integrated cross-species genomic analysis of cuSCC development through the preneoplastic AK stage using matched human samples and a solar UV-driven Hairless mouse model. We identified the major transcriptional drivers of this sequence showing that the key genomic changes in cuSCC development occur in the normal skin to AK transition. Our data validate the use of this UV-driven mouse cuSCC model for cross-species analysis and demonstrate that cuSCC bears deep molecular similarities to multiple carcinogen-driven SCCs from diverse sites, suggesting that cuSCC may serve as an effective, accessible model for multiple SCC types and that common treatment and prevention strategies may be feasible.

2019-07-08 | GSE84292 | GEO

Identification of transcriptomic drivers of squamous cell carcinoma development through a preneoplastic intermediate [human miRNA-Seq]

2017-02-09 | GSE84193 | GEO

Identification of transcriptomic drivers of squamous cell carcinoma development through a preneoplastic intermediate [mouse miRNA-Seq]

2017-02-09 | GSE84192 | GEO

Identification of transcriptomic drivers of squamous cell carcinoma development through a preneoplastic intermediate [human RNA-Seq]

2017-02-09 | GSE84293 | GEO

Integrative genomic characterization of oral squamous cell carcinoma identifies frequent somatic drivers (microRNA)

Project description:Oral cavity squamous cell carcinoma (OSCC) is a disease with extensive morbidity and mortality and few useful molecular targets. Multiplatform integrated genomic analysis was performed in order to identify genomic drivers and molecularly discernible tumor subtypes. mRNA, miRNA and methylation data are all submitted to GEO We measured microRNA expression of 43 OSCC cases with Agilent Human miRNA microarray rel12.0

2013-01-01 | E-GEOD-41115 | biostudies-arrayexpress

Integrative genomic characterization of oral squamous cell carcinoma identifies frequent somatic drivers (mRNA)

Project description:Oral cavity squamous cell carcinoma (OSCC) is a disease with extensive morbidity and mortality and few useful molecular targets. Multiplatform integrated genomic analysis was performed in order to identify genomic drivers and molecularly discernible tumor subtypes. mRNA, miRNA and methylation data are all submitted to GEO We measured gene expression of 43 OSCC cases with the Affymetrix Human Exon 1.0 ST Array

2013-01-01 | E-GEOD-41116 | biostudies-arrayexpress

Identification of transcriptomic drivers of squamous cell carcinoma development through a preneoplastic intermediate

Project description:This SuperSeries is composed of the SubSeries listed below.

2017-02-09 | GSE84194 | GEO

Integrative genomic characterization of oral squamous cell carcinoma identifies frequent somatic drivers (methylation)

Project description:Oral cavity squamous cell carcinoma (OSCC) is a disease with extensive morbidity and mortality and few useful molecular targets. Multiplatform integrated genomic analysis was performed in order to identify genomic drivers and molecularly discernible tumor subtypes. mRNA, miRNA and methylation data are all submitted to GEO We measured methylation of 42 OSCC tumors, 2 normal oral epithelial tissues, and 2 normal blood samples with Illumina HumanMethylation450 arrays

2013-01-01 | E-GEOD-41114 | biostudies-arrayexpress

Integrative genomic characterization of oral squamous cell carcinoma identifies frequent somatic drivers (mRNA)

2013-01-01 | GSE41116 | GEO

Integrative genomic characterization of oral squamous cell carcinoma identifies frequent somatic drivers (microRNA)

2013-01-01 | GSE41115 | GEO