Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

ABSTRACT: Architecture and dynamics of the wounding-induced gene regulatory network during the oolong tea manufacturing process

PROVIDER: PRJNA769258 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	SRR16230153_1.fastq.gz	Fastqsanger.gz
	SRR16230153_2.fastq.gz	Fastqsanger.gz
	SRR16230154_1.fastq.gz	Fastqsanger.gz
	SRR16230154_2.fastq.gz	Fastqsanger.gz
	SRR16230155_1.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 60

Similar Datasets

Project description:Transcriptome profiling during early stage oolong tea manufacturing process

| PRJNA1111509 | ENA

Project description:Architecture and dynamics of gene regulatory network

| PRJNA768951 | ENA

Time series study of ABA-treated Arabidopsis thaliana rosettes [Illumina TruSeq mRNA Sample Prep Kit]

Project description:The hormone abscisic acid (ABA) regulates many plant stress responses and plant development by activating a complex gene regulatory network. This time series experiment was designed to unravel the architecture and dynamics of the ABA gene regulatory network.

2024-06-24 | GSE267647 | GEO

Time series study of ABA-treated Arabidopsis thaliana rosettes [Illumina TruSeq mRNA Stranded Sample Prep Kit]

2024-06-24 | GSE267648 | GEO

GNPS-<Untargeted metabolomics based on Quadrupole Orbitrap mass spectrometry coupled with Chemometrics Analysis Reveals Potential Non volatile Markers during Oolong Tea Shaking

Project description:GNPS-<This study determined the metabolites that allow monitoring of tea quality of oolong tea, not only the formation during the process, but also to their conservation and provides a novel strategy for data reduction in studies on metabolic marker discovery.

2019-03-18 | MSV000083595 | GNPS

food fermentation metagenome

Project description:Bacterial communities in kimchi manufacturing process

| PRJDB5218 | ENA

Characterization of white tea metabolome: comparison against green and black tea by a nontargeted metabolomics approach

Project description:White tea is considered the least processed form of tea and is reported to have a series of potent bioactivities, such as antioxidant, anti-inflammatory, anti-mutagenic, and anti-cancer activities. However, the chemical composition of white tea and the dynamic changes of the metabolites during the manufacturing process are far from clear. In this study, we applied a nontargeted metabolomics approach based on ultra-high performance liquid chromatography coupled with quadrupole time-of-flight mass spectrometry to comprehensively profile the characteristic metabolites of white tea. There were significant differences in the content of amino acids, catechins, dimeric catechins, flavonol and flavone glycosides, and aroma precursors in white tea compared with green and black teas that were manufactured from the same fresh tea leaves. Furthermore, the dynamic changes of the metabolites in the tea samples with various withering durations of 0, 4, 8, 12, 16, 20, 24, 28, and 36 h were also profiled. To the best of our knowledge, this study offers the most comprehensive characterization of the metabolites and their changes in white tea.

2017-03-23 | MTBLS403 | MetaboLights

Project description:Transcriptome of oolong tea (Camellia sinensis) during solar withering

| PRJNA663755 | ENA

Effects of Tibetan tea consumption on white adipose tissue microenvironment and metabolic network in high-fat diet-fed mice

Project description:Metabolic disorders, such as obesity and type 2 diabetes, are major public health concerns worldwide. Dietary interventions, such as tea consumption, have been suggested as an effective strategy to prevent and treat metabolic disorders. White adipose tissue, as the main energy storage organ in mammals, plays a critical role in the regulation of whole-body metabolism. Recent studies have shown that the microenvironmental cell composition and metabolic network of white adipose tissue can be modulated by dietary factors, including tea consumption. However, the underlying mechanisms and the effects of tea consumption on white adipose tissue in the context of high-fat diet-induced metabolic disorders are not fully understood. Therefore, this study aimed to investigate the effects of tea consumption on the microenvironmental cell composition and metabolic network of white adipose tissue in high-fat diet-fed mice.

2023-12-11 | GSE235473 | GEO

Nitrosoproteomic Analysis Deciphers the S-Nitrosylome in Carbon Metabolism of Tea Leaves

Project description:Cysteine S-nitrosylation is a reversible protein post-translational modification and critically regulates the activity, localization and stability of proteins. Tea (Camellia sinensis (L.)) is one of the most thoroughly studied evergreen crop due to its broad non-alcoholic beverage and huge economic impact in the world. However, to date, little is known about the S-nitrosylome in this plant. Here, we performed a global analysis of cysteine S-nitrosylation in tea leaves. In total, 228 cysteine S-nitrosylation sites were identified in 191 proteins, representing the first extensive data on the S-nitrosylome in tea plants. These S-nitrosylated proteins were located in multiple subcellular compartments, especially in the chloroplast and cytoplasm. The analysis of functional enrichment and PPI network revealed that the S-nitrosylated proteins were mainly involved in carbon metabolism, especially in Calvin cycle and TCA cycle. These results suggested that S-nitrosylated proteins in tea leaves might play critical regulatory roles in the carbon metabolism. Overall, this study not only globally analyzed the functional annotation of cysteine S-nitrosylation in tea leaves, but also preliminarily provided the valuable information for further investigating the functions of cysteine S-nitrosylation in tea plants.

2020-05-26 | PXD012443 | 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