Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Individualized response of OGTT and microbiome to FOS and GOS

ABSTRACT: Individualized glycemic responses and gut microbiome changes to dietary intervention with fructooligosaccharides and galactooligosaccharides

PROVIDER: PRJEB15149 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	ERR1583680.fastq.gz	Fastqsanger.gz

Items per page:

1 - 1 of 1

Similar Datasets

Reduction of dietary glycemic load modifies expression of several miRNAs associated with energy balance and cancer pathways in premenopausal women

Project description:We assessed the effect of dietary glycemic load on miRNA expression in a sample of healthy, premenopausal women participating in a 12 month intervention designed to lower dietary glycemic load. Comparing post-intervention to baseline miRNA expression data of 14 participants receiving the active intervention.

2011-12-19 | E-GEOD-27474 | biostudies-arrayexpress

Reduction of dietary glycemic load modifies expression of several miRNAs associated with energy balance and cancer pathways in premenopausal women

2011-12-19 | GSE27474 | GEO

Project description:Individualized responses of gut microbiota to dietary intervention modeled in humanized mice

| PRJNA335756 | ENA

Human intestinal microbiome determines individualized inflammatory response to dietary emulsifier carboxymethylcellulose consumption

Project description:Human intestinal microbiome determines individualized inflammatory response to dietary emulsifier carboxymethylcellulose consumption

| PRJEB61305 | ENA

Low-Fat, Low-Glycemic Load Diet, Surgical Manipulation and Prostate Gene Expression

Project description:Prostate Microarrays for two studies on Low-Fat, Low-Glycemic Load Diet intervention in prostate cancer and the effect of Surgical Manipulation on Prostate Gene Expression. Influence of Surgical Manipulation on Prostate Gene Expression: Implications for Molecular Correlates of Treatment Effects and Disease Prognosis "Measurements of tissue gene expression are increasingly used for disease stratification, clinical trial eligibility, and assessment of neoadjuvant therapy response. However, the method of tissue acquisition alone could significantly influence the expression of specific transcripts or proteins. This study examines whether there are transcript alterations associated with surgical resection of the prostate gland by radical retropubic prostatectomy." Low-Fat, Low-Glycemic Load Diet and Gene Expression in Human Prostate Epithelium: A Feasibility Study of Using cDNA Microarrays to Assess the Response to Dietary Intervention in Target Tissues "We examined the feasibility of using gene expression changes in human prostate epithelium as a measure of response to a dietary intervention." Keywords: Low-fat, Low-Glycemic Load, Prostate Cancer, Radical Prostatectomy, Ischemia

2008-12-01 | GSE10028 | GEO

Individualized analysis of subcutaneous and omental abdominal adipose tissue from non-obese and obese subjects

2009-04-03 | GSE15524 | GEO

Individualized microbiotas dictate impact of dietary fibre on colitis sensitivity

Project description:Individualized microbiotas dictate impact of dietary fibre on colitis sensitivity

| PRJEB64164 | ENA

Individualized analysis of subcutaneous and omental abdominal adipose tissue from non-obese and obese subjects

Project description:Individualized analysis through expression profiling of 20,000 probes in 28 tissue samples evaluated in subcutaneous and omental adipose tissue obtained during surgical intervention in non-obese and obese patients. Patients consisted of men and women of varying body size (lean to severely obese). Samples were collected at the time of operation in the fasting state. Samples consisted of subcutaneous and omental adipose tissue as well as a blood sample from lean and obese men and women removed in the fasting state at the time of surgery.

2010-06-20 | E-GEOD-15524 | biostudies-arrayexpress

RNA-seq alignment to individualized genomes

Project description:The source of most errors in RNA sequencing (RNA-seq) read alignment is in the repetitive structure of the genome and not with the alignment algorithm. Genetic variation away from the reference sequence exacerbates this problem causing reads to be assigned to the wrong location. We developed a method, implemented as the software package Seqnature, to construct the imputed genomes of individuals (individualized genomes) of experimental model organisms including inbred mouse strains and genetically unique outbred animals. Alignment to individualized genomes increases read mapping accuracy and improves transcript abundance estimates. In an application to expression QTL mapping, this approach corrected erroneous linkages and unmasked thousands of hidden associations. Individualized genomes accounting for genetic variation will be useful for human short-read sequencing and other sequencing applications including ChIP-seq.

2014-06-10 | GSE45684 | GEO

GNPS - Individualized responses of gut microbiota to dietary intervention modeled in humanized mice

Project description:Diet plays an important role in shaping the structure and function of the gut microbiota. The microbes and microbial products in turn can influence various aspects of host physiology. One promising route to affect host function and restore health is by altering the gut microbiome using dietary intervention. The individuality of the microbiome may pose a significant challenge, so we sought to determine how different microbiotas respond to the same dietary intervention in a controlled setting. We modeled gut microbiotas from three healthy donors in germ free mice and defined compositional and functional alteration following a change in dietary microbiota-accessible carbohydrates (MACs). The three gut communities exhibited responses that differed markedly in magnitude and in the identity of microbiota-derived metabolites. Adjustments in community membership did not correspond to the magnitude of changes in the microbial metabolites highlighting potential challenges in predicting functional responses from compositional data and the need to assess multiple microbiota parameters following dietary interventions.

2016-07-19 | MSV000079922 | GNPS

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