Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

ABSTRACT: 16S rDNA sequencing

PROVIDER: PRJNA718432 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	SRR14101523.fastq.gz	Fastqsanger.gz
	SRR14101524.fastq.gz	Fastqsanger.gz
	SRR14101525.fastq.gz	Fastqsanger.gz
	SRR14101526.fastq.gz	Fastqsanger.gz
	SRR14101527.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 24

Similar Datasets

16S rDNA (v3-v4 region) sequencing of the cecal bacteria in control (CTL) and chronic nonbacterial prostatitis (CNP) rats

Project description:Prostate of SD rats was injected with 0.1 ml 1% carrageenan to induce chronic nonbacterial prostatitis, and the control rats injected with sterile saline. Then, the cecal contents were collected for 16S rDNA sequencing.

2021-07-07 | GSE179639 | GEO

Meta-omics analysis indicates the saliva microbiome and its proteins associated with the prognosis of oral cancer patients

Project description:The relationship between the microbial changes with clinical-pathological outcomes are still far from being conclusive. Herein, we investigate the ability of metagenomics (MG) and metaproteomics (MP) saliva data in distinguishing C, L0 and L1 patients. For that, we combined two strategies using MG analysis using 16S rDNA sequencing of saliva cells, and MP analysis using liquid chromatography tandem mass spectrometry of saliva supernatant and cells.

2022-11-09 | PXD022859 | Pride

Improvement of gut microbiota and immune function in young mice by regulating the SCFAs Tregs cell axis with Youtianli complementary food nutrient supplements

Project description:The aim of this study is to explore the mechanism by which Youtianli dietary supplement improves intestinal microbiota homeostasis and immune function in young mice by regulating the short chain fatty acid (SCFAs) - Tregs cell axis. We revealed the specific effects of Youtianli on LPS induced immune disorder model mice through 16S rDNA sequencing and various biological analysis methods.

2025-04-23 | PXD063257 |

Mouse caecum vs faeces - Metaproteogenomics Reveals Taxonomic and Functional Changes between Cecal and Fecal Microbiota in Mouse

Project description:We compared the microbiota of paired mouse caecal contents and faeces by applying a multi-omic approach, including 16S rDNA sequencing, shotgun metagenomics, and shotgun metaproteomics. The aim of the study was to verify whether faecal samples are a reliable proxy for the mouse colonic luminal microbiota, as well as to identify changes in taxonomy and functional activity between caecal and faecal microbial communities, which have to be carefully considered when using stool as sample for mouse gut microbiota investigations.

2017-03-31 | PXD004911 | Pride

ena-DATASET-KULVIB-04-03-2016-10:53:34:991-129 - samples

Project description:Firs 1106 16S rDNA data for the Flemish Gut Flora Project

| EGAD00001001936 | EGA

ceae09f4-f021-444d-b025-bee14880fa30 - samples

Project description:16S rDNA amplicon sequencing of 196 human fecal samples of an Inulin cross-over trial in healthy, mildly constipated individuals.

| EGAD00001004956 | EGA

16S rDNA Amplicon Sequencing Analysis of Polystyrene Microplastic Exposed Zebrafish Intestine

Project description:Microplastics (MPs) as widespread contamination pose high risk for aquatic organisms.Intestinal microbiotahas have high interaction with immune system of host body. In this study, intestinal microbiota of zebrafish after Polystyrene (PS-MPs) exposure were characterized by 16S rDNA amplicon sequencing. We found that 100nm and 200μm PS-MPs exposure significantly increased diversity of intestinal microbiota and all the three sizes of PS-MPs increased abundance of pathogenic bacteria.

2019-10-01 | GSE136108 | GEO

Multiomic analysis revealed the potential role of rumen microbes in heat stress

Project description:<p>Heat stress is an important issue in dairy cattle feeding management affecting summer health and economic efficiency. In recent years, global climate change has led to an increase in atmospheric CO2 content and average daily temperature, making heat stress a major challenge in dairy farming. This experiment combined 16S rDNA sequencing, metagenomic sequencing and metabolomic analysis. In this experiment, 10 cows each of growing heifers, heifers and lactating cows were selected for sample collection in April and August. Ruminal fluid was collected and filtered through gauze, which was immediately transferred to liquid nitrogen prior to macrogenomic, 16S rDNA sequencing and metabolomic analyses.</p>

2022-08-11 | MTBLS5132 | MetaboLights

Project description:16S rDNA sequencing

| PRJNA1276865 | ENA

Homo sapiens

Project description:16S rDNA sequencing

| PRJNA1174269 | ENA