Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Gut metagenome

ABSTRACT: Monochamus alternatus gut bacterial 16s rRNA Raw sequence reads

PROVIDER: PRJNA348748 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	SRR4431750_1.fastq.gz	Fastqsanger.gz
	SRR4431750_2.fastq.gz	Fastqsanger.gz
	SRR4431751_1.fastq.gz	Fastqsanger.gz
	SRR4431751_2.fastq.gz	Fastqsanger.gz
	SRR4431752_1.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 26

Similar Datasets

Gut microbiota analysis associated with autism spectrum disorders [16S rRNA]

Project description:Here we report 16S rRNA data in gut microbiota of autism spectrum disorders compared with healthy volunteers. A total of 1322 operational taxonomic units (OTUs) were identified in the sequence data. The Bacteroidetes and Firmicutes were both dominated phylum in ausitic subjects and healthy controls. Phylum level analysis showed a clear alteration of the bacterial gut community in ASD characterized by a higher Firmicutes (P < 0.05), Proteobacteria (P < 0.001), and Actinobacteria (P < 0.001) than that in healthy controls. However, Bacteroidetes were significantly decreased in ASD patients (P < 0.001).

2020-09-30 | GSE113690 | GEO

Monochamus alternatus

Project description:Monochamus alternatus Raw sequence reads

| PRJNA836001 | ENA

Monochamus alternatus

Project description:Monochamus alternatus Raw sequence reads

| PRJNA313481 | ENA

Monochamus alternatus

Project description:Monochamus alternatus Raw sequence reads

| PRJNA392773 | ENA

Monochamus alternatus

Project description:Monochamus alternatus Raw sequence reads

| PRJNA731315 | ENA

The human Gut Chip M-bM-^@M-^\HuGChipM-bM-^@M-^], an explorative phylogenetic microarray for determining gut microbiome diversity at Family level

Project description:A phylogenetic microarray targeting 66 families described in the human gut microbiota has been developped aud used to monitor the gut microbiota's structure and diversity. The microarray format provided by Agilent and used in this study is 8x15K. A study with a total of 4 chips was realized. Arrays 1 and 2: Hybridization with 100ng of labelled 16S rRNA gene amplicons from a mock community sample and 250ng of labelled 16S rRNA gene amplicons from 1 faecal sample. Each Agilent-030618 array probe (4441) was synthetized in three replicates. Arrays 3 and 4: Hybridization with 250ng of labelled 16S rRNA gene amplicons from 2 faecal samples. Each Agilent-40558 array probe (4441) was synthetized in three replicates.

2013-03-01 | E-GEOD-44752 | biostudies-arrayexpress

Composition profile of gut microbiota uptaking plant-derived nanoparticles

Project description:Human diet emerges as a pivotal determinant of gut microbiota composition and function. Identification of the bacterial taxa targeted by diet derived factors with causal beneficial rather than detrimental effects on therapy and their mechanism of action is challenging but necessary for future clinical progress. The germ free mice colonized with human gut bacteria and four-plants derived nanoparticles uptaking bacteria were sorted with flow cytometry and identified with 16s rRNA next-generation sequencing.

2024-11-26 | GSE229897 | GEO

Gut microbiome-derived bacterial extracellular vesicles in patients with solid tumours

Project description:In this study, we performed a comparative analysis of gut microbiota composition and gut microbiome-derived bacterial extracellular vesicles (bEVs) isolated from patients with solid tumours and healthy controls. After isolating bEVs from the faeces of solid tumour patients and healthy controls, we performed spectrometry analysis of their proteomes and next-generation sequencing (NGS) of the 16S gene. We also investigated the gut microbiomes of faeces from patientsand controls using 16S rRNA sequencing. Machine learning was used to classify the samples into patients and controls based on their bEVs and faecal microbiomes.

2024-08-08 | PXD047510 | Pride

Gut microbiota: uterine fibroids patients vs. healthy control

Project description:Gut microbial profiling of uterine fibroids (UFs) patients comparing control subjects. The gut microbiota was examined by 16S rRNA quantitative arrays and bioinformatics analysis. The goal was to reveal alterations in the gut microbiome of uterine fibroids patients.

2022-03-05 | GSE197904 | GEO

16s rRNA-young and old mouse gut microbiota-stroke

Project description:To explore the effects of gut microbiota of young (8 weeks) or old mice (18～20 months) on stroke, feces of young (Y1-Y9) and old mice (O6-O16) were collected and analyzed by 16s rRNA sequencing. Then stroke model was established on young mouse receive feces from old mouse (DOT1-15) and young mouse receive feces from young mouse (DYT1-15). 16s rRNA sequencing were also performed for those young mice received feces from young and old mice.

2021-10-15 | E-MTAB-10837 | 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