Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Fish gut metagenome

ABSTRACT: 16S rRNA gene amplicon sequencing project of gut microbiota of deep-sea fish

PROVIDER: PRJDB10210 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	DRR237428_1.fastq.gz	Fastqsanger.gz
	DRR237428_2.fastq.gz	Fastqsanger.gz
	DRR237429_1.fastq.gz	Fastqsanger.gz
	DRR237429_2.fastq.gz	Fastqsanger.gz
	DRR237430_1.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 18

Similar Datasets

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

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

Correlation analysis between gut microbiota characteristics and melasma

Project description:To compare the similarities and differences in species diversity of the gut microbiota between the patients with melasma and healthy subjects. The feces were collected for 16S rRNA sequencing analysis of the gut microbiota.

2022-10-25 | GSE214430 | GEO

Study of Gut Microbiome and Colorectal Tumors

Project description:Gut microbiota were assessed in 540 colonoscopy-screened adults by 16S rRNA gene sequencing of stool samples. Investigators compared gut microbiota diversity, overall composition, and normalized taxon abundance among these groups.

| 2255499 | ecrin-mdr-crc

Analysis of gut microbiota by pyrosequencing of 16S rRNA gene in F344 rats

Project description:Chronic acid suppression by proton pump inhibitor (PPI) has been hypothesized to alter the gut microbiota via a change in intestinal pH. To evaluate the changes in gut microbiota composition by long-term PPI treatment. Twenty-four week old F344 rats were fed with (n = 5) or without (n = 6) lansoprazole (PPI) for 50 weeks. Then, profiles of luminal microbiota in the terminal ileum were analyzed. Pyrosequencing for 16S rRNA gene was performed by genome sequencer FLX (454 Life Sciences/Roche) and analyzed by metagenomic bioinformatics.

2015-04-14 | E-GEOD-67800 | 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

Fish gut contents

Project description:Fish gut contents 16S rRNA gene sequencing and assembly

| PRJNA1122953 | ENA

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

Impact of the short chain fatty acid, sodium butyrate, on gut resident microbiota, gut mucus proteome and fish susceptibility to bacterial and parasitic infections in vivo

Project description:Previous works in the framework of EU ARRAINA Project evidenced a pro-inflammatory condition in gilthead sea bream (Sparus aurata) fed extremely low fish meal/fish oil diets, and this effect was mostly reversed by butyrate supplementation. The hypothesis of work is that these nutritionally-mediated changes can be extensive to intestinal mucus proteome and gut microbiota, which in turn could modify disease outcome.s If so, the prevalence and progression of the disease might be also modified by diet composition and feed additives. Gilthead sea bream fingerlings were fed with control and experimental diets formulated by BioMar until two year-old. FM was added at 25% in the control diet (D1) and at 5% in the other three diets (D2-D4). Added oil was either FO (D1 control diet) or a blend of vegetable oils, replacing the 58% (D2) and the 84% (D3-D4 diets) of FO. A commercial sodium butyrate preparation (NOREL, BP70) was added to the D4 diet at 0.4%. At month 20, 6 fish per each dietary treatment were sampled for iTRAQ profiling and fingerprinting of intestinal mucus proteome. Mucus collected from anterior and posterior intestine segments was trypsin digested, labelled with iTRAQ reagents, isoelectrofocused and resolved by LC-MS/MS. More than 1000 proteins were unequivocally annotated and principal component analysis clearly separated anterior and posterior segments. The diet effect with changes in the abundance of approximately 120 proteins was restricted to anterior section with a reversion of the pattern of the extreme diet (D3 fish) with dietary butyrate supplementation. Butyrate supplementation also reversed the decrease of microbiotay diversity associated with D3 feeding, and led to a improvement the disease outcomes in fish challenged with Photobacterium damselae and the intestinal parasite Enteromyxum leei.

2018-10-24 | PXD006183 | Pride

Gut microbiota analysis of colitic SD rats

Project description:Fecal samples collected on day 5 from randomly selected colitic SD rats were analyzed for gut microbiota by sequencing the V4 region of the 16S rRNA gene. The orally administered Dex-P-laden NPA2 coacervate (Dex-P/NPA2) significantly restores the diversity of gut microbiota compared with colitic SD rats in the Dex-P/PBS group and the untreated colitic rats (Control).

2021-11-06 | GSE167138 | 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