Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

ABSTRACT: cheese rind and curd microbiota 16S rRNA gene sequencing

PROVIDER: PRJNA354727 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	SRR5066620_1.fastq.gz	Fastqsanger.gz
	SRR5066620_2.fastq.gz	Fastqsanger.gz
	SRR5066630_1.fastq.gz	Fastqsanger.gz
	SRR5066630_2.fastq.gz	Fastqsanger.gz
	SRR5066621_1.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 38

Similar Datasets

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

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

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 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

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

Impact of fecal microbiota transplantation (FMT) in 3 days-ABX-treated recipient mice using feces from 6 NSCLC patients at diagnosis.

Project description:This study aimed to analyze changes in gut microbiota composition in mice after transplantation of fecal microbiota (FMT, N = 6) from the feces of NSCLC patients by analyzing fecal content using 16S rRNA sequencing, 10 days after transplantation. Specific-pathogen-free (SPF) mice were used for each experiments (N=4) as controls.

2023-07-01 | E-MTAB-12812 | 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

16S rRNA gene sequence analysis of feces samples from rats treated with paclitaxel or vehicle controls

Project description:To address the role of gut microbiota in the development of paclitaxel-induced peripheral neuropathy (PIPN), we performed 16S rRNA sequencing analysis of feces samples at 14 days and 28 days after the initiation of paclitaxel or vehicle injections.

2023-10-16 | E-MTAB-13426 | biostudies-arrayexpress

Cheese_Rind_Bacteria_Protein_Profiles

Project description:Protein profiles for cheese rind microbiome isolates collected for pseudophylogenetic analysis via IDBac. Protein profiles for four biological replicates were collected for each strain grown on 10% cheese curd agar on a Bruker microflex LT after 7 days of growth at room temperature.

2022-07-06 | MSV000089824 | MassIVE

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

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