The study investigated the impact of environment on the composition of the gut microbiota and mucosal immune development and function at gut surfaces in early and adult life. Piglets of similar genotype were reared in indoor and outdoor environments and in an experimental isolator facility. Mucosa-adherent microbial diversity in the pig ileum was characterized by sequence analysis of 16S rRNA gene libraries. Host-specific gene responses in gut ileal tissues to differences in microbial composition were investigated using Affymetrix microarray technology and Real-time PCR.
Environmentally-acquired bacteria influence microbial diversity and natural innate immune responses at gut surfaces.
Age, Specimen part
View SamplesMost gene array studies use analysis of differential gene expression which gives no information on the interactions between genes
No associated publication
Sex, Age, Specimen part
View SamplesCaesarean-delivered preterm pigs were fed 3 d of parenteral nutrition followed by 2 d of enteral formula feeding. Antibiotics (n=11) or control saline (n=13) were given twice daily from birth to tissue collection at d 5. NEC-lesions and intestinal structure, function, microbiology and immunity markers were recorded.
Antibiotics modulate intestinal immunity and prevent necrotizing enterocolitis in preterm neonatal piglets.
Specimen part, Treatment
View SamplesAnalysis of gene expression in Caco-2 intestinal epithelial cells stimulated with flagellated or aflagellated S. enteritidis or recombinant flagellin. Results provide insight into how flagellin mediates innate immune responses in intestinal epithelial cells.
No associated publication
No sample metadata fields
View SamplesThe aim of this study was to determine the changes in gene expression of rice root tips when they came in to contact with a hard layer (60% wax layer). Three categories of root tips were sampled; tips before the hard layer, tips that had come into contact with the hard layer and root tips which had buckled after coming into contact with the hard layer.
A bioinformatic and transcriptomic approach to identifying positional candidate genes without fine mapping: an example using rice root-growth QTLs.
No sample metadata fields
View SamplesThis study aims to provide a transcriptomics dataset for field grown rice plants subjected to mild drought concentrating on the two parents of a mapping population, Bala and Azucena. Plants were grown in 1.2 m2 plots under flooded conditions in Wuhan, China being sown on 2nd June 2007. Starting at 59 days after sowing, drought was imposed by withholding water, while a set of control plots had continued flooding conditions. The drought was imposed for 24 days during which time a small amount of water was added on 3 occasions to raise soil moisture to 30% by volume. After 24 days the second youngest fully expanded leaf was taken and gene expression analysis performed.
No associated publication
Specimen part
View SamplesWe advance a three gene model of arsenate tolerance in rice based on testing root growth of 108 recombinant inbred lines (RILs) of the Bala x Azucena population. Marker genotype at 3 loci determined arsenate tolerance in 99% of RILs tested. Interestingly, plants must inherit 2, but any two alleles from the tolerant parent (Bala) to have the tolerant phenotype. Challenging the Affymetrix GeneChip Rice Genome array with Azucena and Bala RNA isolated from control and arsenate treated plants revealed 592 genes 2 fold-upregulated by arsenate and 696 downregulated. The array data was also used to identify which genes are expressed within the three target loci.
Rice-arsenate interactions in hydroponics: whole genome transcriptional analysis.
No sample metadata fields
View SamplesWe have identified the causal genes, which is MYB36, of ionome mutants.
The MYB36 transcription factor orchestrates Casparian strip formation.
Specimen part
View SamplesConsider the problem of designing a panel of complex biomarkers to predict a patient's health or disease state when one can pair his or her current test sample, called a target sample, with the patient's previously acquired healthy sample, called a reference sample. As contrasted to a population averaged reference, this reference sample is individualized. Automated predictor algorithms that compare and contrast the paired samples to each other could result in a new generation of test panels that compare to a person's healthy reference to enhance predictive accuracy. This study develops such an individualized predictor and illustrates the added value of including the healthy reference for design of predictive gene expression panels. The objective is to predict each subject's state of infection, e.g., neither exposed nor infected, exposed but not infected, pre-acute phase of infection, acute phase of infection, post-acute phase of infection. Using gene microarray data collected in a large-scale serially sampled respiratory virus challenge study, we quantify the diagnostic advantage of pairing a person's baseline reference with his or her target sample.
An individualized predictor of health and disease using paired reference and target samples.
Specimen part, Subject, Time
View SamplesAfrican-American individuals of the GENOA cohort
Genetic Architecture of Gene Expression in European and African Americans: An eQTL Mapping Study in GENOA.
Sex, Age, Specimen part
View Samples