Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

ABSTRACT: Cherry in vitro microbiome

PROVIDER: PRJNA1139108 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	SRR29925768.fastq.gz	Fastqsanger.gz
	SRR29925769.fastq.gz	Fastqsanger.gz
	SRR29925770.fastq.gz	Fastqsanger.gz
	SRR29925771.fastq.gz	Fastqsanger.gz
	SRR29925772.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 30

Similar Datasets

Project description:Cherry root microbiome

| PRJNA929045 | ENA

Project description:Cherry root microbiome

| PRJNA929196 | ENA

Transcriptome profiling of Pseudomonas syringae pv. syringae 9644 in rich media and hrp-inducing minimum media

Project description:Pseudomonas syringae pv. syringae 9644 (Pss9644) is a causal agent of bacterial cherry canker causing necrotic symptoms on leaves, fruits, gummosis and canker in woody tissues of sweet cherry (Prunus avium). To understand which virulent factor genes were expressed in vitro, Pss9644 was grown in rich media (King's B Broth) and minimum media (hrp-inducing minimum media). The latter mimics the in planta environment.

2024-04-07 | GSE255102 | GEO

human stool

Project description:tart cherry gut microbiome

| PRJNA742936 | ENA

Expression analysis of adult zebrafish enteric nervous system

Project description:The enteric nervous system (ENS) encompasses the intrinsic neuroglia networks of the gastrointestinal (GI) tract that are essential for digestive function and gut homeostasis. To investigate the ENS of zebrafish, we carried out bulk RNA sequencing on nuclei purified by FACS (fluorescent-activated cell sorting) representing both the Cherry+ (ENS) and Cherry- (non-ENS) muscularis externa cell populations of Tg(sox10:Cre;Cherry) zebrafish gut.

2020-09-14 | GSE145885 | GEO

Prunus avium transcriptome profiling

Project description:Profiling of fruit and leaves transcriptomes of cherry cultivars

2019-02-26 | GSE121997 | GEO

Changes in intestinal permeability and gut microbiota following diet-induced weight loss in patients with metabolic dysfunction-associated steatohepatitis and liver fibrosis

Project description:We explore whether a low-energy diet intervention for Metabolic dysfunction-associated steatohepatitis (MASH) improves liver disease by means of modulating the gut microbiome. 16 individuals were given a low-energy diet (880 kcal, consisting of bars, soups, and shakes) for 12 weeks, followed by a stepped re-introduction to whole for an additional 12 weeks. Stool samples were obtained at 0, 12, and 24 weeks for microbiome analysis. Fecal microbiome were measured using 16S rRNA gene sequencing. Positive control (Zymo DNA standard D6305) and negative control (PBS extraction) were included in the sequencing. We found that low-energy diet improved MASH disease without lasting alterations to the gut microbiome.

2024-12-31 | E-MTAB-14061 | biostudies-arrayexpress

Project description:Rhizosphere microbiome of different grafted cherry seedlings

| PRJNA1073026 | ENA

Trancriptomic analysis of flower bud dormancy in sweet cherry

Project description:Bud dormancy is a crucial stage in perennial trees and allows survival over winter and optimal subsequent flowering and fruit production. Environmental conditions, and in particular temperature, have been shown to influence bud dormancy. Recent work highlighted some physiological and molecular events happening during bud dormancy in trees. However, we still lack a global understanding of transcriptional changes happening during bud dormancy. We conducted a fine tune temporal transcriptomic analysis of sweet cherry (Prunus avium L.) flower buds from bud organogenesis until the end of bud dormancy using next-generation sequencing. We observe that buds in organogenesis, paradormancy, endodormancy and ecodormancy are characterised by distinct transcriptional states, and associated with different pathways. We further identified that endodormancy can be separated in two phases based on its transcriptomic state: early and late endodormancy. We also found that transcriptional profiles of just 7 genes are enough to predict the main cherry tree flower buds dormancy stages. Our results indicate that transcriptional changes happening during dormancy are robust and conserved between different sweet cherry cultivars. Our work also sets the stage for the development of a fast and cost effective diagnostic tool to molecularly define the flower bud stage in cherry trees.

2019-12-16 | GSE130426 | GEO

Proteomic changes in sweet cherry fruit (cv. ‘Tsolakeika’) in response to calcium application.

Project description:The experiment was performed in a commercial sweet cherry (cv. Tsolakeika, Prunus avium L.) orchard in North Greece (Edessa) during 2017 growing season. The orchard contained 10-years old trees, planted at 5x5 m spacing between rows and along the row, grafted onto Mahaleb cherry (Prunus mahaleb L.) rootstock, trained in open vase and subjected to standard cultural practices. Three foliar sprays (0.5% or 35 mM CaCl2) were performed at 15, 27 and 37 days after full blossom (DAFB). Cherry fruits (exocarp plus mesocarp tissues) were sampled in two developmental stages, namely at full red color (44 DAFB, S4 stage) and at commercial harvest (55 DAFB, S5 stage). Three biological replicates of 20-fruit sub-lots in control and Ca-treated fruits were frozen in liquid nitrogen, grinding in fine powder and stored at -80 ⁰C for proteomic processing.

2021-11-01 | PXD018227 | 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