Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Multiomics analysis decodes biosynthesis of specialized metabolites constituting the therapeutic terrains of Magnolia obovata

ABSTRACT: In this study, we performed LC-QTOF-MS-based metabolomics and RNA-seq based transcriptome analysis using seven tissues of Magnolia obovata

ORGANISM(S): Magnolia obovata

PROVIDER: GSE275868 | GEO | 2025/02/19

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Systems-based characterization of specialized metabolites biosynthesis in Cornus officinalis

Project description:In this study, we performed LC-QTOFMS-based metabolomics and RNA-seq based transcriptome analysis using seven tissues of C. officinalis.

2020-07-07 | GSE144198 | GEO

Gene-metabolite network analysis revealed tissue specific accumulation of therapeutic metabolites in Mallotus japonicus

Project description:In this study, we performed LC-QTOF-MS-based metabolomics and RNA-seq based transcriptome analysis using seven tissues of M. japonicus.

2021-08-31 | GSE179338 | GEO

Multiomics-based characterization of specialized metabolites biosynthesis in Cornus Officinalis.

Project description:Cornus officinalis, an important traditional medicinal plant, is used as major constituents of tonics, analgesics, and diuretics. While several studies have focused on its characteristic bioactive compounds, little is known on their biosynthesis. In this study, we performed LC-QTOF-MS-based metabolome and RNA-seq-based transcriptome profiling for seven tissues of C. officinalis. Untargeted metabolome analysis assigned chemical identities to 1,215 metabolites and showed tissue-specific accumulation for specialized metabolites with medicinal properties. De novo transcriptome assembly established for C. officinalis showed 96% of transcriptome completeness. Co-expression analysis identified candidate genes involved in the biosynthesis of iridoids, triterpenoids, and gallotannins, the major group of bioactive metabolites identified in C. officinalis. Integrative omics analysis identified 45 cytochrome P450s genes correlated with iridoids accumulation in C. officinalis. Network-based integration of genes assigned to iridoids biosynthesis pathways with these candidate CYPs further identified seven promising CYPs associated with iridoids' metabolism. This study provides a valuable resource for further investigation of specialized metabolites' biosynthesis in C. officinalis.

| S-EPMC7320821 | biostudies-literature

Multiomics of tomato glandular trichomes reveals distinct features of central carbon metabolism supporting high productivity of specialized metabolites

Project description:Glandular trichomes (GT) are specialized cell factories that have the capacity to produce large amounts of metabolites which can amount to over 10% of the leaf dry weight. The specific expression of secondary metabolite pathways in glandular trichomes has facilitated their elucidation. However, little is known about the connection between central carbon and specialized metabolism in these cells. To address this question, we used the type VI glandular trichomes from a cultivated (Solanum lycopersicum LA4024) and a wild tomato accession (Solanum habrochaites LA1777) as a model. Our study is based on metabolomics, transcriptomics, proteomics and 13C-labeling datasets of trichome and leaves samples. This comparative analysis allowed us to identify specific features of trichomes in comparison to leaves. Here, the transcript raw and RMA-normalized data is hosted.

2017-05-31 | E-MTAB-4482 | biostudies-arrayexpress

Systems-based characterization of specialized metabolites biosynthesis in Cornus officinalis

Project description:Systems-based characterization of specialized metabolites biosynthesis in Cornus officinalis

| PRJNA603009 | ENA

Single-cell multiomics decodes regulatory programs for mouse secondary palate development.

Project description:Perturbations in gene regulation during palatogenesis can lead to cleft palate, which is among the most common congenital birth defects. Here, we perform single-cell multiome sequencing and profile chromatin accessibility and gene expression simultaneously within the same cells (n = 36,154) isolated from mouse secondary palate across embryonic days (E) 12.5, E13.5, E14.0, and E14.5. We construct five trajectories representing continuous differentiation of cranial neural crest-derived multipotent cells into distinct lineages. By linking open chromatin signals to gene expression changes, we characterize the underlying lineage-determining transcription factors. In silico perturbation analysis identifies transcription factors SHOX2 and MEOX2 as important regulators of the development of the anterior and posterior palate, respectively. In conclusion, our study charts epigenetic and transcriptional dynamics in palatogenesis, serving as a valuable resource for further cleft palate research.

| S-EPMC10821874 | biostudies-literature

Mus musculus

Project description:Metabolomics LC-MS dataset

| PRJNA811808 | ENA

De novo transcriptome assembly and characterization of medicinal plant Lithospermum officinale to discover putative genes involved in specialized metabolites biosynthesis

Project description:In this study, we have performed Illumina based RNA sequencing to characterize the transcriptome and expression profiles of genes expressed in 3 tissues of L. officinale. RNA sequencing and de novo transcriptome assembly of L. officinale resulted in a total of 77,047 unigenes with N50 value as 1524 bps. KEGG pathway and GO enrichment analysis using highly expressed unigenes across three tissues showed active secondary metabolic processes specifically enriched to the root of L. officinale. Expression of identified candidate unigenes for specialized metabolites biosynthesis were consistent with previous reports on accumulation of metabolites across different tissues of L. officinale.

2018-07-01 | GSE111375 | GEO

Chemodiversity, pharmacological activity, and biosynthesis of specialized metabolites from medicinal model fungi Ganoderma lucidum

Project description: Not available

| S-EPMC10958966 | biostudies-literature

Chromosome-scale genome assembly of Glycyrrhiza uralensis revealed metabolic gene cluster centred specialized metabolites biosynthesis.

Project description:A high-quality genome assembly is imperative to explore the evolutionary basis of characteristic attributes that define chemotype and provide essential resources for a molecular breeding strategy for enhanced production of medicinal metabolites. Here, using single-molecule high-fidelity (HiFi) sequencing reads, we report chromosome-scale genome assembly for Chinese licorice (Glycyrrhiza uralensis), a widely used herbal and natural medicine. The entire genome assembly was achieved in eight chromosomes, with contig and scaffold N50 as 36.02 and 60.2 Mb, respectively. With only 17 assembly gaps and half of the chromosomes having no or one assembly gap, the presented genome assembly is among the best plant genomes to date. Our results showed an advantage of using highly accurate long-read HiFi sequencing data for assembling a highly heterozygous genome including its complexed repeat content. Additionally, our analysis revealed that G. uralensis experienced a recent whole-genome duplication at approximately 59.02 million years ago post a gamma (γ) whole-genome triplication event, which contributed to its present chemotype features. The metabolic gene cluster analysis identified 355 gene clusters, which included the entire biosynthesis pathway of glycyrrhizin. The genome assembly and its annotations provide an essential resource for licorice improvement through molecular breeding and the discovery of valuable genes for engineering bioactive components and understanding the evolution of specialized metabolites biosynthesis.

| S-EPMC9763095 | biostudies-literature

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