Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

ABSTRACT: Integrative Metabolomic and Transcriptomic Analysis Reveals the Flavonoid Biosynthesis in Eupatorium lindleyanum

PROVIDER: PRJNA1242508 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	SRR32874457_1.fastq.gz	Fastqsanger.gz
	SRR32874457_2.fastq.gz	Fastqsanger.gz
	SRR32874458_1.fastq.gz	Fastqsanger.gz
	SRR32874458_2.fastq.gz	Fastqsanger.gz
	SRR32874459_1.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 24

Similar Datasets

Project description:Integrative transcriptomic and metabolomic analysis reveal the flavonoid biosynthesis of Physalis under low temperature stress

| PRJNA1297591 | ENA

Project description:Transcriptomic analysis reveals differential mechanism of flavonoid biosynthesis in Dendrobium officinale

| PRJNA1014709 | ENA

Flavonoid Biosynthesis in Bayberry Fruit

Project description:Comparative Transcriptomic Analysis Reveals Flavonoid Biosynthesis Regulation in Chinese Bayberry (Myrica rubra) Fruit

| PRJEB20868 | ENA

Assessment of transcriptional reprogramming of lettuce roots in response to chitin soil amendment

Project description:Chitin soil amendment is known to improve soil quality, plant growth and plant stress resilience, but the underlying mechanisms are not well understood. In this study, we monitored chitin’s effect on lettuce physiology every two weeks through an eight-week growth period, analyzed the early transcriptional reprogramming and related metabolomic changes of lettuce, in response to crab chitin treatment in peat-based potting soil. In commercial growth conditions, chitin amendment still promoted lettuce growth, increased chlorophyll content, the number of leaves and crop head weight from week six. The flavonoid content in lettuce leaves was altered as well, showing an increase at week two but a decrease from week six. Transcriptomic analysis showed that over 300 genes in lettuce root were significant differentially expressed after chitin soil treatment. Gene Ontology-term (GO) enrichment analysis revealed statistical overrepresentation of GO terms linked to photosynthesis, pigment metabolic process and phenylpropanoid metabolic process. Further analysis of the differentially expressed genes (DEGs) showed that the flavonoid pathway is mostly upregulated whereas the bifurcation of upstream phenylpropanoid pathway towards lignin biosynthesis is mostly downregulated. Metabolomic analysis revealed the upregulation of salicylic acid, chlorogenic acid, ferulic acid, and p-coumaric acid in chitin treated lettuce seedlings. These phenolic compounds mainly influence the phenylpropanoid biosynthesis pathway and may play important roles in plant defense reactions. Our results suggest that chitin soil amendments might activate induced resistance by priming lettuce plants and promote lettuce growth via transcriptional changes.

2023-03-28 | GSE224725 | GEO

Project description:Transcriptomic and metabolomic analyses reveal the salt tolerance of rice significantly correlated with jasmonic acid biosynthesis and flavonoid biosynthesis

| PRJNA931648 | ENA

Transcriptomic Analysis Reveals Flavonoid Biosynthesis of Syringa oblata Lindl. in Response to Different Light Intensity

Project description:Transcriptomic Analysis Reveals Flavonoid Biosynthesis of Syringa oblata Lindl. in Response to Different Light Intensity

| PRJNA573685 | ENA

Integrative ‘omic analysis of experimental bacteremia identifies a metabolic signature that distinguishes human sepsis from SIRS

Project description:Rationale: Sepsis is a leading cause of morbidity and mortality; early diagnosis and prediction of progression is difficult to determine. The integration of metabolomic and transcriptomic data in an experimental model of sepsis may be a novel method to identify molecular signatures of clinical sepsis. Objectives: Develop a biomarker panel for earlier diagnosis and prognostic characterization of sepsis patients to inform personalized clinical management and improve understanding of the pathophysiology of sepsis progression. Methods: Mild to severe sepsis, lung injury and death was recapitulated in Macaca fascicularis by intravenous inoculation of Escherichia coli. Plasma samples were obtained at time of challenge and at one, three, and five days later or time of euthanasia. Necropsy was performed and blood, lung, kidney and spleen samples were obtained. An integrative analysis of comprehensive metabolomic and transcriptomic datasets was performed to identify and parameterize a biomarker panel. Measurements and Main Results: Pathogen invasion, respiratory distress, lethargy and mortality was dose dependent. Severe infection and death were associated with metabolomic and transcriptomic changes indicative of mitochondrial, peroxisomal and liver dysfunction. Analysis of reciprocal pulmonary transcriptome and plasma metabolome data revealed an integrated host response that suggested dysregulated fatty acid catabolism resulting from peroxisome-proliferator activated receptor signaling. A representative 4-metabolite model effectively diagnosed sepsis in primates (AUC 0.966) and in two human sepsis cohorts (AUC=0.78 and 0.82). Conclusion: A model to guide early management of patients with sepsis was developed by analysis of reciprocal metabolomic and transcriptomic data in primates that diagnosed sepsis in humans. Transcriptomic analysis of lungs from Cynomolgus macaques challenged with E. coli

2015-07-03 | E-GEOD-59075 | biostudies-arrayexpress

Integrative Transcriptomic Profiling reveals Hepatic Stem-like Phenotype and Interplay of EMT and miR-200c in Intrahepatic Cholangiocarcinoma

Project description:This SuperSeries is composed of the following subset Series: GSE32879: Integrative Transcriptomic Profiling reveals Hepatic Stem-like Phenotype and Interplay of EMT and miR-200c in Intrahepatic Cholangiocarcinoma [mRNA] GSE32957: Integrative Transcriptomic Profiling reveals Hepatic Stem-like Phenotype and Interplay of EMT and miR-200c in Intrahepatic Cholangiocarcinoma [miRNA] Refer to individual Series

2012-09-28 | E-GEOD-32958 | biostudies-arrayexpress

The impact of Coptis chinensis Franch root rot on leaves

Project description:Root rot disease poses a devastating threat to Coptis chinensis Franch, a medicinal plant prized for its bioactive alkaloids. To dissect its defense mechanisms, we conducted integrated transcriptomic and metabolomic analyses on resistant (R), early-stage infected (S-ES), and late-stage infected (S-LS) plants. Our findings reveal a disease severity-dependent escalation in flavonoid metabolism. Key metabolites, such as kaempferol and quercetin derivatives, were significantly increased compared to R, paralleled by progressive upregulation of biosynthetic genes (PAL, CHS, CHI, FLS). Strikingly, salicylic acid (SA)-associated metabolites and pathway genes (NPR1, NPR3/NPR4) showed no differential expression across groups, contrasting with typical SA-mediated defenses in other species. This study uncovers flavonoid biosynthesis as the primary defense strategy in C. chinensis during root rot progression, while SA signaling may not be the main defense mechanism. These results provide actionable targets for enhancing disease resistance in medicinal plants through metabolic engineering

2025-03-25 | GSE290673 | GEO

Integrative metabolomic and transcriptomic analysis for the non-invasive study of bladder cancer

Project description:In this study has been carried out an integrative metabolomic and transcriptomic analysis of tumoral and non-tumoral bladder tissues using exactly the same samples to determine the possible links between metabolism and gene expression in this tumoral context.

2019-06-19 | GSE121711 | 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