Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Zophobas atratus gut microbiome

ABSTRACT: Zophobas atratus gut microbiome Raw sequence reads

PROVIDER: PRJNA1258064 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	SRR33408900_1.fastq.gz	Fastqsanger.gz
	SRR33408900_2.fastq.gz	Fastqsanger.gz
	SRR33408901_1.fastq.gz	Fastqsanger.gz
	SRR33408901_2.fastq.gz	Fastqsanger.gz
	SRR33408874_1.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 56

Similar Datasets

Zophobas atratus

Project description:Zophobas atratus overview

| PRJNA608589 | ENA

Zophobas atratus

Project description:Zophobas atratus Genome sequencing and assembly

| PRJNA764250 | ENA

Zophobas atratus

Project description:Zophobas atratus Central Nervous System Transcriptome

| PRJNA608269 | ENA

Zophobas atratus

Project description:Search for genes expressing in left and right manibles of Zophobas atratus pupa.

| PRJDB8149 | ENA

Superworm (Zophobas morio) gut microbiome

Project description:Superworm (Zophobas morio) gut microbiome metagenomics

| PRJNA801070 | ENA

Neuropeptidome of Zophobas atratus

Project description:The aim of the present study is to summarize the identification of neuropeptides, neuropeptide-like and protein hormones in Z. atratus

2022-09-13 | PXD033000 | Pride

Morphine treatment leads to temporal modulation of the gut microbiome

Project description:Opioid analgesics are frequently prescribed in the United States and worldwide. However, serious side effects such as addiction, immunosuppression and gastrointestinal symptoms limit long term use. In the current study using a chronic morphine-murine model a longitudinal approach was undertaken to investigate the role of morphine modulation of gut microbiome as a mechanism contributing to the negative consequences associated with opioids use. The results revealed a significant shift in the gut microbiome and metabolome within 24 hours following morphine treatment when compared to placebo. Morphine induced gut microbial dysbiosis exhibited distinct characteristic signatures profiles including significant increase in communities associated with pathogenic function, decrease in communities associated with stress tolerance. Collectively, these results reveal opioids-induced distinct alteration of gut microbiome, may contribute to opioids-induced pathogenesis. Therapeutics directed at these targets may prolong the efficacy long term opioid use with fewer side effects.

2018-04-16 | E-MTAB-5550 | biostudies-arrayexpress

Streptomyces atratus

Project description:Streptomyces atratus Raw sequence reads

| PRJNA880671 | ENA

Diet rapidly and reproducibly alters the human gut microbiome

Project description:Long-term dietary intake influences the structure and activity of the trillions of microorganisms residing in the human gut, but it remains unclear how rapidly and reproducibly the human gut microbiome responds to short-term macronutrient change. Here we show that the short-term consumption of diets composed entirely of animal or plant products alters microbial community structure and overwhelms inter-individual differences in microbial gene expression. The animal-based diet increased the abundance of bile-tolerant microorganisms (Alistipes, Bilophila and Bacteroides) and decreased the levels of Firmicutes that metabolize dietary plant polysaccharides (Roseburia, Eubacterium rectale and Ruminococcus bromii). Microbial activity mirrored differences between herbivorous and carnivorous mammals, reflecting trade-offs between carbohydrate and protein fermentation. Foodborne microbes from both diets transiently colonized the gut, including bacteria, fungi and even viruses. Finally, increases in the abundance and activity of Bilophila wadsworthia on the animal-based diet support a link between dietary fat, bile acids and the outgrowth of microorganisms capable of triggering inflammatory bowel disease. In concert, these results demonstrate that the gut microbiome can rapidly respond to altered diet, potentially facilitating the diversity of human dietary lifestyles. RNA-Seq analysis of the human gut microbiome during consumption of a plant- or animal-based diet.

2013-12-05 | E-GEOD-46761 | biostudies-arrayexpress

Xenobiotics shape the physiology and gene expression of the active human gut microbiome

Project description:The human gut is colonized by trillions of microorganisms that influence human health and disease through the metabolism of xenobiotics, including therapeutic drugs and antibiotics. The diversity and metabolic potential of the human gut microbiome have been extensively characterized, but it remains unclear which microorganisms are active and which perturbations can influence this activity. Here, we use flow cytometry, 16S rRNA gene sequencing, and metatranscriptomics to demonstrate that the human gut contains distinctive subsets of active and damaged microorganisms, primarily composed of Firmicutes, which display marked temporal variation. Short-term exposure to a panel of xenobiotics resulted in significant changes in the physiology and gene expression of this active microbiome. Xenobiotic-responsive genes were found across multiple bacterial phyla, encoding novel candidate proteins for antibiotic resistance, drug metabolism, and stress response. These results demonstrate the power of moving beyond DNA-based measurements of microbial communities to better understand their physiology and metabolism. RNA-Seq analysis of the human gut microbiome during exposure to antibiotics and therapeutic drugs.

2012-10-30 | E-GEOD-38151 | biostudies-arrayexpress

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