Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

ABSTRACT: effect of Pleurotus citrinopileatus expolysaccharides on human gut microbiota by in vitro fermentation

PROVIDER: PRJNA751711 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	SRR15330203_1.fastq.gz	Fastqsanger.gz
	SRR15330203_2.fastq.gz	Fastqsanger.gz
	SRR15330204_1.fastq.gz	Fastqsanger.gz
	SRR15330204_2.fastq.gz	Fastqsanger.gz
	SRR15330205_1.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 24

Similar Datasets

Pleurotus citrinopileatus

Project description:Pleurotus citrinopileatus overview

| PRJNA435459 | ENA

Pleurotus citrinopileatus

Project description:Pleurotus citrinopileatus Genome sequencing

| PRJNA401997 | ENA

Project description:effect of reuterin on human gut microbiota by in vitro fermentation

| PRJNA754838 | ENA

Pleurotus citrinopileatus

Project description:Pleurotus citrinopileatus Raw sequence reads

| PRJNA392544 | ENA

Project description:Effect of Phellinus baumii ethanol extract on human gut microbiota in vitro fermentation

| PRJNA868914 | ENA

The impact of a consortium of fermented milk strains on the gut microbiome of gnotobiotic mice and monozygotic twins. (RNA-Seq)

Project description:Understanding how the human gut microbiota and host are impacted by probiotic bacterial strains requires carefully controlled studies in humans, and in mouse models of the gut ecosystem where potentially confounding variables that are difficult to control in humans can be constrained. Therefore, we characterized the fecal microbiomes and metatranscriptomes of adult female monozygotic twin pairs through repeated sampling 4 weeks prior to, 7 weeks during, and 4 weeks following consumption of a commercially-available fermented milk product (FMP) containing a consortium of Bifidobacterium animalis subsp. lactis, two strains of Lactobacillus delbrueckii subsp. bulgaricus, Lactococcus lactis subsp. cremoris, and Streptococcus thermophilus. In addition, gnotobiotic mice harboring a 15-species model human gut microbiota whose genomes contain 58,399 known or predicted protein-coding genes were studied prior to and after gavage with all five sequenced FMP strains. 73 samples total. Evaluation of changes in a model community's metatranscriptome over time after exposure to a consortium of 5 fermented milk product (FMP) strains (40 samples); evaluation of the gene expression of the FMP strains in other in vitro conditions, including MRS medium (B. animalis subsp. lactis only, 4 samples) and a commercial FMP fermentation (all 5 strains, 6 samples); evaluation of the gene expression of native human microbiomes before and after the consumption of a commercial FMP (23 samples).

2011-11-01 | E-GEOD-31670 | biostudies-arrayexpress

Pleurotus citrinopileatus

Project description:Pleurotus citrinopileatus Transcriptome or Gene expression

| PRJNA980938 | ENA

Human gut microbiome cultured over time responsed differently to drug stimulation

Project description:In vitro gut microbiota models are often used to study drug-microbiome interaction. Similar to culturing individual microbial strains, the biomass accumulation of in vitro gut microbiota follows a logistic growth curve. Current studies on in vitro gut microbiome responses introduce drug stimulation during different growth stages, e.g. lag phase or stationary phase. However, in vitro gut microbiota in different growth phases may respond differently to a same stimuli. Therefore, in this study, we used a 96-deep well plate-based culturing model (MiPro) to culture the human gut microbiota. Metformin, as the stimulus, was added at the lag, log and stationary phases of growth. Microbiome samples were collected at different time points for optical density and metaproteomic functional analysis. Results show that in vitro gut microbiota responded differently to metformin added during different growth phases, in terms of the growth curve, alterations of taxonomic and functional compositions. The addition of drugs at log phase leads to the greatest decline of bacterial growth. Metaproteomic analysis suggested that the strength of the metformin effect on the gut microbiome functional profile was ranked as lag phase > log phase > stationary phase. Our results showed that metformin added at lag phase resulted in a significantly reduced abundance of the Clostridiales order as well as an increased abundance of the Bacteroides genus, which was different from stimulation during the rest of the growth phase. Metformin also resulted in alterations of several pathways, including energy production and conversion, lipid transport and metabolism, translation, ribosomal structure and biogenesis. Our results indicate that the timing for drug stimulation should be considered when studying drug-microbiome interactions in vitro.

2022-03-01 | PXD017390 | Pride

Pleurotus citrinopileatus strain:cultivar

Project description:Y1 genome sequence of Pleurotus cornucopiae var. citrinopileatus

| PRJDB7310 | ENA

mWGS analysis of the fecal microbiota of WT and TCRb-/- mice

Project description:The gut microbiota plays an important role in host health. Microbiota dysbiosis has been implicated in the global epidemic of Metabolic Syndrome (MetS) and could impair host metabolism by noxious metabolites. It has been well established that the gut microbiota is shaped by host immune factors. However, the effect of T cells on the gut microbiota is yet unknown. Here, we performed a metagenomic whole-genome shotgun sequencing (mWGS) study of the microbiota of TCRb-/- mice, which lack alpha/beta T cells.

2024-05-06 | GSE262397 | 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