Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Mouse gut metagenome

ABSTRACT: 16S rDNA sequencing of microbiota in intestine of WT and Nelfbfl/flVillin-Cre mice

PROVIDER: PRJNA700789 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	SRR13674915.fastq.gz	Fastqsanger.gz
	SRR13674916.fastq.gz	Fastqsanger.gz
	SRR13674917.fastq.gz	Fastqsanger.gz
	SRR13674918.fastq.gz	Fastqsanger.gz
	SRR13674919.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 16

Similar Datasets

mouse gut metagenome

Project description:16S rDNA Amplicon Sequencing of gut microbiota in mice

| PRJNA745400 | ENA

Aged gut microbiota contributes to systemical inflammaging after transfer to germ-free mice

Project description:Advanced age is associated with chronic low-grade inflammation, which is usually referred to as inflammaging. Elderly are also known to have an altered gut microbiota composition. However, whether inflammaging is a cause or consequence of an altered gut microbiota composition is not clear. In this study gut microbiota from young or old conventional mice was transferred to young germ-free mice. Four weeks after gut microbiota transfer immune cell populations in spleen, Peyer’s patches, and mesenteric lymph nodes from conventionalized germ-free mice were analyzed by flow cytometry. In addition, whole-genome gene expression in the ileum was analyzed by microarray. Gut microbiota composition of donor and recipient mice was analyzed with 16S rDNA sequencing. Here we show by transferring aged microbiota to young germ-free mice that certain bacterial species within the aged microbiota promote inflammaging. This effect was associated with lower levels of Akkermansia and higher levels of TM7 bacteria and Proteobacteria in the aged microbiota after transfer. The aged microbiota promoted inflammation in the small intestine in the germ-free mice and enhanced leakage of inflammatory bacterial components into the circulation was observed. Moreover, the aged microbiota promoted increased T cell activation in the systemic compartment. In conclusion, these data indicate that the gut microbiota from old mice contributes to inflammaging after transfer to young germ-free mice.

2018-02-14 | GSE104063 | GEO

mouse gut metagenome

Project description:16S rDNA V4 region amplicon sequencing of mice colonic microbiota

| PRJDB4266 | ENA

mouse gut metagenome

Project description:mice intestine microbiota using Miseq sequencing

| PRJNA294124 | ENA

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

Gut microbiota analysis of kdm5 mutant and the flies with KDM5 knockdown in intestine tissue

Project description:To determine microbiota composition associated with loss of KDM5 in intestine, we carried out 16S rRNA seq analyses of dissected intestine from wildtype and kdm5 mutant. [GSM2628181-GSM2628190]. A total of 78 operational taxonomic units (OTUs) were identified in the sequence data. There were about 15 genera much less abundant in kdm5 mutant compared to wildtype. The kdm5 mutant were sensitive to pathogen. To confirm the microbiota associated with loss of KDM5 in intestine, 16S rRNA of new flies were sequenced and analyzed by Majorbio Bio-Pharm Technology Co. Ltd. (Shanghai, China) [GSM3243472-GSM3243481]. A total of 107 operational taxonomic units (OTUs) were identified in the sequence data. There were about 20 genera much less abundant in kdm5 mutant compared to wildtype. To confirm the microbiota associated with loss of KDM5 drosophila feeding with Lactobacillus plantarum, 16S rRNA of kdm5 mutant flies were sequenced and analyzed by Novogene Bioinformatics Technology Co., Ltd. (Tianjin, China) [GSM3263522-GSM3263527]. A total of 92 operational taxonomic units (OTUs) were identified in the sequence data. To confirm the microbiota associated with KDM5 knockdown in intestine, 16S rRNA of Myo1A-Gal4TS/+ and Myo1A-Gal4TS/+;+/kdm5RNAi flies were sequenced and analyzed by Biomarker Co. Ltd. (Beijing, China). [GSM3507915-GSM3507924]. A total of 50 operational taxonomic units (OTUs) were identified in the sequence data. There was a significant different based on the genus level between two groups.

2019-02-08 | GSE98944 | GEO

mouse gut metagenome

Project description:Mouse gut microbiota analysis by 16s rDNA sequencing

| PRJNA832491 | ENA

mouse gut metagenome

Project description:16S rDNA V3-V4 region amplicon sequencing of gut microbiota of inulin-fed mice

| PRJDB13048 | ENA

mouse gut metagenome strain:C57BL/6

Project description:16s rDNA sequencing of mice

| PRJNA573981 | ENA

Gut microbiota analysis in WT and Il17d-deficient mice treated with or without colitis

Project description:Microbiota dysbiosis has been reported to contribute to the pathogenesis of colitis, to demonstrate whether IL-17D protects against DSS-induced colitis through regulation of microflora, we performed 16S rRNA sequencing in feces from WT and Il17d-deficient mice. Our data indicate that Il17d deficiency results in microbiota dysibiosis in both steady state and DSS-induced colitis.

2021-05-20 | GSE165789 | 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