Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Transcriptomic and Epigenomic Signatures Distinguish High- and Low-Risk Endotypes for Liver Tumor Development [RNA-Seq blood]

ABSTRACT: Transcriptomic and Epigenomic Signatures Distinguish High- and Low-Risk Endotypes for Liver Tumor Development [RNA-Seq blood]

PROVIDER: PRJNA1139319 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	SRR29935947_1.fastq.gz	Fastqsanger.gz
	SRR29935947_2.fastq.gz	Fastqsanger.gz
	SRR29935948_1.fastq.gz	Fastqsanger.gz
	SRR29935948_2.fastq.gz	Fastqsanger.gz
	SRR29935949_1.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 30

Similar Datasets

Transcriptomic and Epigenomic Signatures Distinguish High- and Low-Risk Endotypes for Liver Tumor Development

Project description:Transcriptomic and Epigenomic Signatures Distinguish High- and Low-Risk Endotypes for Liver Tumor Development

| PRJNA1139313 | ENA

Transcriptomic and Epigenomic Signatures Distinguish High- and Low-Risk Endotypes for Liver Tumor Development [ChIP-Seq]

Project description:Transcriptomic and Epigenomic Signatures Distinguish High- and Low-Risk Endotypes for Liver Tumor Development [ChIP-Seq]

| PRJNA1139317 | ENA

Transcriptomic and Epigenomic Signatures Distinguish High- and Low-Risk Endotypes for Liver Tumor Development [RNA-Seq liver]

Project description:Transcriptomic and Epigenomic Signatures Distinguish High- and Low-Risk Endotypes for Liver Tumor Development [RNA-Seq liver]

| PRJNA1139320 | ENA

Transcriptomic and Epigenomic Signatures Distinguish High- and Low-Risk Endotypes for Liver Tumor Development [ChIP-Seq]

Project description:The epigenome is a target for environmental exposures, and a potential determinant of inter-individual differences in response. In genetically identical C57Bl/6 mice exposed from gestation to weaning to the endocrine disrupting chemical (EDC) tributyltin (TBT), tumor development later in life varied across multiple cohorts over time and depending on sex and diet. In one cohort where approximately half of TBT-exposed male mice developed tumors at 10 months (Katz, 2020), transcriptomic (RNA-seq) and epigenomic (ChIP-seq) profiling was performed on blood and liver tissue from mice that developed tumors (i.e. “high-risk”) and equivalently exposed mice did not (i.e “low-risk”). Blood transcriptomic signatures separated TBT-exposed from vehicle controls but did not discriminate between animals that developed tumors vs those that did not. However, uninvolved liver tissue of mice with tumors exhibited transcriptomic and epigenomic signatures distinct from liver tissue of mice without tumors and had many features in common with tumors. These high-risk transcriptomic and epigenomic features were also found in 10/26 TBT-exposed mice at 5 months, indicating that this risk signature preceded tumor development. Thus, while early life exposure to TBT exhibits variable penetrance for tumor development, indicating TBT-exposure is not sufficient for tumorigenesis, increased risk for tumor development is linked to epigenomic and transcriptomic reprogramming of the liver induced by this EDC.

2024-12-04 | GSE272927 | GEO

Transcriptomic and Epigenomic Signatures Distinguish High- and Low-Risk Endotypes for Liver Tumor Development [RNA-Seq blood]

2024-12-04 | GSE272930 | GEO

Transcriptomic and Epigenomic Signatures Distinguish High- and Low-Risk Endotypes for Liver Tumor Development [RNA-Seq liver]

2024-12-04 | GSE272929 | GEO

Transcriptomic and Epigenomic Signatures Distinguish High- and Low-Risk Endotypes for Liver Tumor Development

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

2024-12-03 | GSE272931 | GEO

Identification of 3 Endotypes In Pediatric ARDS Using Nasal Transcriptomics-Low Input

Project description:This study used nasal transcriptomic profiling of the inferior turbinate in control and pediatric ARDS subjects to identify endotypes. This data set is for amplified specimens. The study identfied three pediatric ARDS endotypes.

2020-06-23 | GSE152979 | GEO

Predicting sepsis severity at first clinical presentation: the role of endotypes and mechanistic signatures

Project description:Identifying at first clinical presentation gene expression signatures that predict subsequent severity will allow clinicians to identify the most at risk groups of patients, and also enable appropriate antibiotic use. Accordingly, we characterized the blood immune profiles of patients with early/pre-sepsis to identify signatures reflecting disease severity, organ dysfunction, mortality, and specific endotypes/mechanisms.

2022-01-10 | GSE185263 | GEO

Identification of 3 Endotypes In Pediatric ARDS Using Nasal Transcriptomics-Standard Input

Project description:This study used nasal transcriptomic profiling of the inferior turbinate in control and pediatric ARDS subjects to identify endotypes. This data set is for non-amplified specimens. The study identfied three pediatric ARDS endotypes.

2020-06-23 | GSE152978 | 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