Browse
Submit Data
Databases
API
Help

Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

15 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Transcriptional profiling by high throughput sequencing of Panax ginseng C.A. Meyer leaf and stem transcriptomes during the leaf-expansion period.

ABSTRACT: In order to research the ginseng leaf-stem gene expression profiles of and dig out its function genes in the leaf-expansion period, the transcriptomic sequencing technology was set up the first time for five years the transcription of the Panax ginseng leaf-stem in the leaf-expansion period.

ORGANISM(S): Panax ginseng

SUBMITTER: Yu Zhao

PROVIDER: E-MTAB-937 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

ACCESS DATA

Json Xml

Similar Datasets

De novo sequencing and analysis of the Panax ginseng transcriptome in the leaf-expansion period

Project description:In order to analyze the transcriptome of ginseng root during leaf-expansion period and discover the genes during development, a cDNA sample was prepared from the leaf-expansion period of ginseng root and sequenced using the Illumina sequencing platform.The transcriptomic sequencing technology was set up the first time for five years the transcription of the ginseng root in the leaf-expansion period.

2013-06-15 | E-MTAB-974 | biostudies-arrayexpress

Transcript profiles of the flowering period Panax ginseng C.A. Meyer root and analysis the gene function

Project description:Panax ginseng C.A. Meyer is one of the most popular medicinal herbs. In order to research the genes that related to the flowering period of ginseng, and find out the antifungal proteins and transcription factors that combat various biotic and abiotic stress, a cDNA sample was prepared from the flowering period ginseng root of a five-year-old plant and sequenced using the Illumina sequencing platform. In this study, we produced nearly 40 million sequencing reads. These reads were assembled into 134,045 contigs using Trinity software (mean size: 282 bp). Based on a similarity search with known proteins, we identified 79,307 sequences with a cut-off E-value of 10-5. Assembled sequences were then annotated using gene ontology (GO) terms, clusters of orthologous group (COG) classifications and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways respectively.

2014-07-25 | E-MTAB-1239 | biostudies-arrayexpress

Optimization of Protein Isolation and Label–free Quantitative Proteomic Analysis in Four Different Tissues of Korean Ginseng

Project description:Korean ginseng is one of the most valuable medicinal plants worldwide. Yet, our understanding of ginseng proteomics is largely limited due to difficulties in extraction and resolution of ginseng proteins because of the presence of natural contaminants such as polysaccharides, phenols, and glycosides. Here, we compared four different protein extraction methods, namely, TCA/acetone, TCA/acetone–MeOH/chloroform, Phenol–TCA/acetone, and Phenol–MeOH/chloroform methods. Consequently, the TCA/acetone–MeOH/chloroform method displayed the highest extraction efficiency, thus it was used for the comparative proteome profiling of leaf, root, shoot, and fruit by a label–free quantitative proteomics approach. This approach led to the identification of 2,604 significantly modulated proteins among four tissues. We could pinpoint differential pathways and proteins associated with ginsenoside biosynthesis including the methylerythritol 4–phosphate (MEP) pathway, the mevalonate (MVA) pathway, UDP–glycosyltransferases (UGTs), and oxidoreductases (CYP450s). The current study reports an efficient and reproducible method for the isolation of proteins from a wide range of ginseng tissues and provides a detailed organ–based proteome map and a more comprehensive view of enzymatic alterations in ginsenoside biosynthesis.

2021-09-07 | PXD022914 | Pride

Proteomic analysis of Panax ginseng leaves subjected to salinity stress

Project description:Ginseng is an important crop in East Asia due to its medicinal and nutritional benefits originating from ingredients such as the ginsenosides. Numerous researches have been directed to cultivate ginseng with high yield especially targeting its growth and development for protection against abiotic stresses, which are affecting both the yield and quality. Particularly, salinity has been characterized as a major abiotic stressor that affects the annual yield of ginseng. Therefore, to characterize the salt-responsive proteins in the ginseng plant, ginseng leaves were harvested post-treatment with salt in a time-dependent manner. Utilizing a label-free quantitative proteome analysis approach, this study identified a total of 2,484 proteins. Among them, 468 proteins showed a significant modulation in their abundance among ginseng leaf samples at 4 different time points (0, 24, 72, 96 h) following salt stress. Further functional classification revealed that catalase-peroxidase 2, voltage-gated potassium channel subunit beta-2, fructose-1,6-bisphosphatase class 1, and chlorophyll a-b binding protein associated proteins accumulated in response to the salt stress. Of these, glycosyl hydrolase 17 (GH17) showed similar abundance profiles at both the transcript and proteome level. Therefore, for further understanding of GH17 underlying salt stress response mechanism, GH17 overexpressing transgenic Arabidopsis were generated. In response to salt stress, transgenic plants uncovered a tolerance phenotype without compromising plant growth. The proteome alterations in response to salt stress presented here resulted in identifying a protein GH17 with a potential key role in salt-stressed ginseng.

2023-03-11 | PXD038524 | Pride

Analysis of Panax ginseng secreted proteins under salt stress

Project description:Salt stress is one of the major abiotic stresses affecting the yield of ginseng (Panax ginseng C. A. Meyer). The objective of this study was to identify proteins of ginseng, which is responsive in salt stress. In this direction, ginseng plants of different growth stages (3, 4 and 5 years), were grown in the hydroponic conditions and exposed to 5 ds/m salt concentration. The secreted proteins, collected from the water, at 0, 24, 72 and 120 hours after exposure were used for the proteome analysis using shotgun approaches. Through the shotgun proteomics, a total of 155 and 88 secreted proteins were identified by searching in two RNA-sequencing (RNA-seq) database, respectively.

2022-11-17 | PXD010322 | Pride

Anti-Stress Effect of Red Ginseng via Repression of PADI4 by ER-beta Stimulation

Project description:Ginseng has been used for anti-stress agents, and its active ingredient, ginsenoside, has similar structure with estrogen. In this study, effects of red ginseng (RG) on gene expressions in immobilization (IMO) stressed mice brain was analyzed by system biology.

2012-03-01 | E-MTAB-856 | biostudies-arrayexpress

Label-free quantitative proteomic approach to investigate the effect of heat stress on Panax ginseng leaves

Project description:Ginseng is one of the well-known medicinal plants, exhibiting diverse medicinal effects. Its roots possess anticancer and anti-aging properties and are being used in the medical systems of East Asian countries. Ginseng is grown in low-light and low-temperature conditions and its growth is strongly inhibited at temperatures above 25 ℃. However, the molecular responses of ginseng to heat stress are currently poorly understood, especially at protein level. Therefore, here we utilized a shotgun proteomics approach to investigate the effect of heat stress on ginseng leaves. Total proteins were isolated from control (25 ℃) and ginseng plants exposed to 35 ℃ for 1 and 3 days and subjected to in-solution trypsin digestion. A total of 3,359 ginseng proteins were identified when searched in an in-house developed RNA-seq (PAC-BIO) database.

2018-12-11 | PXD009124 | Pride

Systems biology analysis of Korean red ginseng effects on Immobilization stressed mice brain

Project description:Here we present molecular mechanisms of Korean red ginseng (KRG) on immobilization stresses Keywords: stress response Mice were divided into three groups (3 mice / group): control, stress + no treat, and stress + Korean Red Ginseng (KRG, 100 mg). Stress + KRG group were given KRG 100 mg orally for 7 days and then exposed to immobilization stress for 45 min. stress + no treat group were administrated with phosphate buffer saline (d-PBS, pH 7.4) together with IMO stress for 45 min.

2010-05-15 | E-GEOD-12656 | biostudies-arrayexpress

The basal cm of leaf 4 of GA2OX::PLA1 (193-01) versus wild type in the growth chamber and the field (May-June 2016)

Project description:GA2OX::PLA1 transgenic plants and their none-transgenic siblings were grown in the field in Wetteren and in the growth chamber. In the field, we sampled three plants per plot (three plots were sown per genotype), resulting in three pools each consisting of three plants. Every pool represented a different subplot. In the growth chamber, the plants were sampled randomly across the population, with three pools, each consisting of three plants. For each plant, the day of leaf 4 appearance was marked and the samples were taken two days after leaf 4 appeared. The seedlings were cut just above soil level and the growing fourth leaf was dissected out and the younger leaves inside leaf 4 were removed. Using a ruler we sampled the basal cm of leaf 4 (division zone) for RNA preparation. The samples were snap frozen and transported to the lab for storage at -80 degrees and further processing. Two time points were sampled, two days after leaf 4 appearance as well as six days after leaf appearance.

2019-10-16 | E-MTAB-8095 | biostudies-arrayexpress

The basal cm of leaf 4 of GA2OX::PLA1 (193-01) versus wild type in the growth chamber and the field (May-June 2015)

Project description:GA2OX::PLA1 transgenic plants and their none-transgenic siblings were grown in the field in Wetteren and in the growth chamber. In the field, we sampled three plants per plot (three plots were sown per genotype), resulting in three pools each consisting of three plants. Every pool represented a different subplot. In the growth chamber, the plants were sampled randomly across the population, with three pools, each consisting of three plants. For each plant, the day of leaf 4 appearance was marked and the samples were taken two days after leaf 4 appeared (DALA). The seedlings were cut just above soil level and the growing fourth leaf was dissected out and the younger leaves inside leaf 4 were removed. Using a ruler we sampled the basal cm of leaf 4 (division zone) for RNA preparation. The samples were snap frozen and transported to the lab for storage at -80 degrees and further processing. One time point was sampled, two days after leaf 4 appearance.

2019-10-16 | E-MTAB-8094 | biostudies-arrayexpress

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

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