Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Hepatocyte Differentiation Metabolism

ABSTRACT:

ORGANISM(S): Homo Sapiens

TISSUE(S): Stem Cells

PROVIDER: ST000837 | MetabolomicsWorkbench |

REPOSITORIES: MetabolomicsWorkbench

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	mwtab	Other

Items per page:

1 - 1 of 1

Similar Datasets

Effect of cooling on muscle tissue metabolism (part II)

Project description: Not available

| ST000839 | MetabolomicsWorkbench

Deubiquitinase inhibitor compound C6 effect on cellular metabolism

Project description: Not available

| ST000835 | MetabolomicsWorkbench

Pilot Human Muscle oral glucose tolerance test (OGTT)

Project description: Not available

| ST000836 | MetabolomicsWorkbench

LC-MS/MS analysis of human cellular tRNA

Project description:The field of epitranscriptomics is growing in importance, with chemical modification of RNA being associated with a wide variety of biological phenomena. Mass spectrometry (MS) enables the identification of modified RNA residues within their sequence contexts, by using analogous approaches to shotgun proteomics. We have developed a free and open-source database search engine for RNA MS data, called NucleicAcidSearchEngine (NASE), as part of the OpenMS software framework. NASE allows the reliable identification of (modified) RNA sequences from LC-MS/MS data in a high-throughput fashion. For this validation dataset, we generated a sample of human total tRNA from a cellular extract - a complex mixture of highly modified RNAs. This sample was RNase-treated prior to nanoflow LC-MS/MS analysis.

2018-12-31 | PXD012097 | Pride

Role of histone lysine demethylase LSD2 in hepatic metabolism

Project description:This SuperSeries is composed of the SubSeries listed below. Refer to individual Series

2015-01-31 | E-GEOD-59695 | biostudies-arrayexpress

LC-MS/MS analysis of human cellular tRNA

Project description:The field of epitranscriptomics is growing in importance, with chemical modification of RNA being associated with a wide variety of biological phenomena. Mass spectrometry (MS) enables the identification of modified RNA residues within their sequence contexts, by using analogous approaches to shotgun proteomics. We have developed a free and open-source database search engine for RNA MS data, called NucleicAcidSearchEngine (NASE), as part of the OpenMS software framework. NASE allows the reliable identification of (modified) RNA sequences from LC-MS/MS data in a high-throughput fashion. For this validation dataset, we generated samples of human total tRNA from a cellular extract - a complex mixture of highly modified RNAs. The samples were RNase-treated prior to nanoflow LC-MS/MS analysis.

2020-03-31 | PXD016328 | Pride

Effect of cooling on muscle tissue metabolism

Project description: Not available

| ST000752 | MetabolomicsWorkbench

Diabetic heart adrenergic signaling and metabolism (STZ & Isoproterenol, High Fat)

Project description: Not available

| ST000712 | MetabolomicsWorkbench

miRQC PGM data

Project description:MicroRNAs are important negative regulators of protein coding gene expression, and have been studied intensively over the last few years. To this purpose, different measurement platforms to determine their RNA abundance levels in biological samples have been developed. In this study, we have systematically compared 12 commercially available microRNA expression platforms by measuring an identical set of 20 standardized positive and negative control samples, including human universal reference RNA, human brain RNA and titrations thereof, human serum samples, and synthetic spikes from homologous microRNA family members. We developed novel quality metrics in order to objectively assess platform performance of very different technologies such as small RNA sequencing, RT-qPCR and (microarray) hybridization. We assessed reproducibility, sensitivity, quantitative performance, and specificity. The results indicate that each method has its strengths and weaknesses, which helps guiding informed selection of a quantitative microRNA gene expression platform in function of particular study goals.

2013-09-01 | E-MTAB-1815 | biostudies-arrayexpress

Integrative multi-omics analysis of intestinal organoid differentiation

Project description:Intestinal organoids accurately recapitulate epithelial homeostasis in vivo, thereby representing a powerful in vitro system to investigate lineage specification and cellular differentiation. Here, we applied a multi-omics framework on stem cell enriched and -depleted mouse intestinal organoids to obtain a holistic view of the molecular mechanisms that drive differential gene expression during adult intestinal stem cell differentiation. Our data revealed a global rewiring of the transcriptome and proteome between intestinal stem cells and enterocytes, with the majority of dynamic protein expression being transcription-driven. Integrating absolute mRNA and protein copy numbers revealed post-transcriptional regulation of gene expression. Probing the epigenetic landscape identified a large number of cell-type specific regulatory elements, which revealed Hnf4g as a major driver of enterocyte differentiation. In summary, by applying an integrative systems biology approach we uncovered multiple layers of gene expression regulation, which contribute to lineage specification and plasticity of the mouse small intestinal epithelium.

2018-06-25 | PXD009700 | Pride

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