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 rRNA gene amplicon sequencing

PROVIDER: PRJNA597122 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	SRR10753930.fastq.gz	Fastqsanger.gz
	SRR10753931.fastq.gz	Fastqsanger.gz
	SRR10753932.fastq.gz	Fastqsanger.gz
	SRR10753933.fastq.gz	Fastqsanger.gz
	SRR10753934.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 16

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

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

mouse gut metagenome

Project description:Pyrosequencing of 16S rRNA gene amplicon from mice fecal samples

| PRJDB3207 | ENA

Soil Metaproteomics LC-MS

Project description:Sensitive models of climate change impacts would require a better integration of multi-omics approaches that connect the abundance and activity of microbial populations. Here, we show that climate is a fundamental driver of the protein abundance of microbial populations (metaproteomics), yet not their genomic abundance (16S rRNA gene amplicon sequencing), supporting the hypothesis that metabolic activity may be more closely linked to climate than community composition.

2022-03-01 | PXD009773 | Pride

mouse gut metagenome

Project description:16S rRNA gene amplicon sequencing of fecal microbiota in a spontaneous EAE mouse model

| PRJNA605334 | ENA

mouse gut metagenome

Project description:16S rRNA gene amplicon sequencing of gut microbiota in a spontaneous EAE mouse model

| PRJNA423250 | ENA

Quantification of mock microbial communities with metagenomes, 16S rRNA gene amplicons and metaproteomics

Project description:In this study we developed metaproteomics based methods for quantifying taxonomic composition of microbiomes (microbial communities). We also compared metaproteomics based quantification to other quantification methods, namely metagenomics and 16S rRNA gene amplicon sequencing. The metagenomic and 16S rRNA data can be found in the European Nucleotide Archive (Study number: PRJEB19901). For the method development and comparison of the methods we analyzed three types of mock communities with all three methods. The communities contain between 28 to 32 species and strains of bacteria, archaea, eukaryotes and bacteriophage. For each community type 4 biological replicate communities were generated. All four replicates were analyzed by 16S rRNA sequencing and metaproteomics. Three replicates of each community type were analyzed with metagenomics. The "C" type communities have same cell/phage particle number for all community members (C1 to C4). The "P" type communities have the same protein content for all community members (P1 to P4). The "U" (UNEVEN) type communities cover a large range of protein amounts and cell numbers (U1 to U4). We also generated proteomic data for four pure cultures to test the specificity of the protein inference method. This data is also included in this submission.

2017-05-12 | PXD006118 | Pride

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

human gut metagenome

Project description:Human gastric aspirate microbiota 16S rRNA gene amplicon sequencing

| PRJNA263948 | ENA

mouse gut metagenome

Project description:16S rRNA gene amplicon sequencing of ob/ob and wild type mouse gut microbiota. Raw sequence reads

| PRJNA400789 | ENA