Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

ABSTRACT: fertilizer sample 16S rRNA sequencing/biochar sample 16S rRNA sequencing

PROVIDER: PRJNA445370 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	SRR6882920_1.fastq.gz	Fastqsanger.gz
	SRR6882920_2.fastq.gz	Fastqsanger.gz
	SRR6882930_1.fastq.gz	Fastqsanger.gz
	SRR6882930_2.fastq.gz	Fastqsanger.gz
	SRR6882940_1.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 144

Similar Datasets

Project description:biochar sample 16S rRNA sequencing

| PRJNA450303 | ENA

The effect of IV iron on the gut microbiome in patients with metastatic colorectal cancer

Project description:Primary outcome(s): Analysis of the diversity and composition of the gut microbiome by 16S rRNA sequencing Study Design: Observational Study Model : Others, Time Perspective : Prospective, Enrollment : 60, Biospecimen Retention : Collect & Archive- Sample with DNA, Biospecimen Description : Blood, Stool

| 26030 | ecrin-mdr-crc

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

Nobiletin ameliorates high fat-induced disruptions in rhythmic glucagon-like peptide-1 secretion - 16S

Project description:16S rRNA gene sequencing of colonic feces from mice fed regular chow, regular chow+nobiletin, high-fat diet or high-fat diet+nobiletin.

2022-05-06 | E-MTAB-11551 | biostudies-arrayexpress

Chronic Strongyloides stercoralis infection increases Ruminococcus torques group and alter microbiome proteome in ivermectin treatment

Project description:The impact of mono-chronic S. stercoralis infection on the gut microbiome and microbial activities in infected participants was explored. The 16S rRNA gene sequencing of a longitudinal study with 2 sets of human fecal was investigated. Set A, 42 samples were matched, and divided equally into positive (Pos) and negative (Neg) for S. stercoralis diagnoses. Set B, 20 samples of the same participant in before (Ss+PreT) and after (Ss+PostT) treatment was subjected for 16S rRNA sequences and LC-MS/MS to explore the effect of anti-helminthic treatment on microbiome proteomes.

2023-11-07 | PXD037975 | JPOST Repository

Changes of intestinal flora in patients with epithelial ovarian cancer treated with PARP inhibitor first-line maintenance therapy: a non-randomized, double-blind, observational cohort study

Project description:Interventions: Follow-up observation group:no;A drug maintenance treatment group:no;Two kinds of drugs maintenance treatment group:no Primary outcome(s): 16s rRNA sequencing results;Evaluation of therapeutic response in solid tumors Study Design: Cohort study

| 105717 | ecrin-mdr-crc

Microbial diversity of an uncontaminated and a 2,4,6-TNT contaminated soil sample with CodeLink microarrays

Project description:Comparison of probe-target dissociations of probe Eub338 and Gam42a with native RNA of P. putida, in vitro transcribed 16s rRNA of P. putida, in vitro transcribed 16S rRNA of a 2,4,6-trinitrotoluene contaminated soil and an uncontaminated soil sample. Functional ANOVA revealed no significant differences in the dissociation curves of probe Eub338 when hybridised to the different samples. On the opposite, the dissociation curve of probe Gam42a with native RNA of P. putida was significantly different than the dissociation curves obtained with in vitro transcribed 16S rRNA samples. Keywords: Microbial diversity, thermal dissociation analysis, CodeLink microarray

2005-11-05 | GSE3525 | GEO

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 sequencing of fecal samples from Atg16l1 T300A and wildtype littermate mice that were either exposed or not to mainstream cigarette smoking for 6 weeks

Project description:We found that mainstream cigarette smoking (4 cigarettes/day, 5 days/week for 2 weeks using Kentucky Research Cigarettes 3R4F) resulted in >20% decrease in the percentage of normal Paneth cell population in Atg16l1 T300A mice but showed minimal effect in wildtype littermate control mice, indicating that Atg16l1 T300A polymorphism confers sensitivity to cigarette smoking-induced Paneth cell damage. We performed 16S rRNA sequencing to identify potential microbiota changes associated with Paneth cell defect in Atg16l1 T300A mice exposed to cigarette smoking. Female mice were used at 4-5 weeks of age. Cigarette smoking was performed using smoking chamber with the dosage and schedule as described above. The fecal samples from the mice were collected for 16S rRNA sequencing analysis after completing 6 weeks of smoking.

2018-10-31 | E-MTAB-5717 | biostudies-arrayexpress

IL-22 resolves MASLD via enterocyte STAT3 restoration of diet perturbed intestinal homeostasis [16s rDNA-seq]

Project description:IL22 induces antimicrobial peptides which influnce microbiota. We used 16s rRNA gene sequencing (16s DNA-seq) to analyze the microbiota with Fc or IL-22Fc treatment.

2024-08-01 | GSE242929 | 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