Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

ABSTRACT: microbiotal communtiy diversity

PROVIDER: PRJNA844176 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	SRR19497812_1.fastq.gz	Fastqsanger.gz
	SRR19497812_2.fastq.gz	Fastqsanger.gz
	SRR19497813_1.fastq.gz	Fastqsanger.gz
	SRR19497813_2.fastq.gz	Fastqsanger.gz
	SRR19497814_1.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 30

Similar Datasets

pig fecal

Project description:Microbiotal communtiy diversity

| PRJNA843177 | ENA

Project description:Fungal communtiy diversity in 2017

| PRJNA454168 | ENA

Mucispirillum schaedleri

Project description:Microbiotal diversity in mice gut affected by different meat sources

| PRJNA1011451 | ENA

Project description:North eastern indian ocean microbial communtiy survey

| PRJNA1086668 | ENA

Project description:Study of communtiy composition on microbial diseases

| PRJNA1055438 | ENA

Project description:Analysis of gut microbiotal diversity in healthy young adults in Sunan County, Gansu Province, China

| PRJNA971734 | ENA

Patterns of Population Epigenomic Diversity in Arabidopsis thaliana (Methyl-Seq)

Project description:Natural epigenetic variation provides a source for the generation of phenotypic diversity, but to understand its contribution to phenotypic diversity, its interaction with genetic variation requires further investigation. MethylC-seq from naturally-occurring Arabidopsis accessions

2013-03-05 | E-GEOD-43857 | biostudies-arrayexpress

The Interactions Between Gut Microbiota and Hereditary Nonpolyposis Colorectal Cancer (HNPCC)

Project description:Interventions: different phenotypes vs. HNPCC group vs. healthy control group:Nil Primary outcome(s): Alpha diversity analysis;ß-diversity analysis;LDA EffectSize (LEfSe) analysis Study Design: Factorial

| 2701429 | ecrin-mdr-crc

Morphine treatment induces distinct changes in the gut microbiome at day 3 post treatment

Project description:Opioids such as morphine have many beneficial properties as analgesics, however, opioids may induce multiple adverse gastrointestinal symptoms. We have recently demonstrated that morphine treatment results in significant disruption in gut barrier function leading to increased translocation of gut commensal bacteria. However, it is unclear how opioids modulate the gut homeostasis. By using a mouse model of morphine treatment, we studied effects of morphine treatment on gut microbiome. We characterized phylogenetic profiles of gut microbes, and found a significant shift in the gut microbiome and increase of pathogenic bacteria following morphine treatment when compared to placebo. In the present study, wild type mice (C57BL/6J) were implanted with placebo, morphine pellets subcutaneously. Fecal matter were taken for bacterial 16s rDNA sequencing analysis at day 3 post treatment. A scatter plot based on an unweighted UniFrac distance matrics obtained from the sequences at OTU level with 97% similarity showed a distinct clustering of the community composition between the morphine and placebo treated groups. By using the chao1 index to evaluate alpha diversity (that is diversity within a group) and using unweighted UniFrac distance to evaluate beta diversity (that is diversity between groups, comparing microbial community based on compositional structures), we found that morphine treatment results in a significant decrease in alpha diversity and shift in fecal microbiome at day 3 post treatment compared to placebo treatment. Taxonomical analysis showed that morphine treatment results in a significant increase of potential pathogenic bacteria. Our study shed light on effects of morphine on the gut microbiome, and its role in the gut homeostasis.

2018-04-16 | E-MTAB-5546 | biostudies-arrayexpress

ChIP-seq of PDAC tissues grown as patient-derived tumor xenografts

Project description:Pancreatic adenocarcinoma (PDAC) is one of the most lethal human malignancies and a major health problem. Patient-derived tumor xenografts (PDTXs) have been increasingly used as a prime approach for preclinical studies despite being insufficiently characterized as a model of the human disease and its diversity. Extensive multiomics characterization of these PDTXs have demonstrated their utility as a suitable model for preclinical studies, representing the diversity of the primary cancers. We performed a multi-factorial integrative analysis of genome-wide ChIP-seq on multiple histone modifications, as well as RNA-seq on subcutaneous PDTXs from 24 PDAC samples obtained either surgically or using diagnostic biopsies (endoscopic ultrasound guided fine needle aspirate). In the dataset, ChIP-seq for five distinct histone marks (H3K4me1, H3K27ac, H3K4me3, H3K27me3, and H3K9me3) and RNA-seq was carried out to generate new knowledge on the epigenetic landscapes underlying the heterogeneity of PDAC tissues grown in this manner.

2018-05-29 | E-MTAB-5632 | biostudies-arrayexpress

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