RNA-Seq Screened Identification of Differentially Expressed Genes in Bovine Cells (MDBK) Following Disruption of microRNA-192 Expression by TALEN Gene Knockout Technology
No associated publication
Sex, Specimen part, Cell line
View SamplesComparison of expression of Arabidopsis thaliana Col-0 and T-DNA insertion line of RAP2.4a under time dependent light stress by transfer to high light
Meta-analysis of retrograde signaling in Arabidopsis thaliana reveals a core module of genes embedded in complex cellular signaling networks.
Specimen part
View SamplesThe main objective of this study was to decipher the gene expression profile associated with the onset and early development of Wooden Breast Disease in commercial broiler chickens. To achieve this, pectoralis major muscle biopsy samples were harvested from high-breast-muscle-yield, purebred broiler line. The pectoral biopsy samples were collected from the cranial (week 2 and 3) and caudal (week 4) aspects of the muscle belly in birds which were allowed to grow up to 7 weeks of age. Three subsets of biopsy samples comprising 6 unaffected (U) and 10 affected (A) from week 2 and 4 and 4U and 12A from week 3 were processed for RNA-sequencing analysis. All selected samples were processed using Truseq stranded mRNA LT sample kit for paired-end 2x75-nucleotide sequencing with Illumina Hiseq 2500 sequencer.
No associated publication
Sex, Age, Specimen part, Disease
View SamplesNo description.
No associated publication
Sex, Age, Specimen part, Cell line, Treatment
View SamplesTranscriptomic sequencing of human gastric cancer cell line (AGS) upon citral treatment
No associated publication
Sex, Specimen part, Disease, Cell line
View SamplesThe study aims to identify differences in gene expression in the root tissue of wild type Columbia-0 as well as Arabidopsis Mediator subunit mutants, med18 and med20 in response to the root pathogen Fusarium oxysporum. Roots were inoculated for 24 hours before harvesting for RNA isolation and paired end Illumina sequencing.
No associated publication
Specimen part, Disease, Disease stage, Treatment
View SamplesThis SuperSeries is composed of the SubSeries listed below.
Identification of biomarker genes for resistance to a pathogen by a novel method for meta-analysis of single-channel microarray datasets.
Specimen part
View SamplesThis SuperSeries is composed of the SubSeries listed below.
No associated publication
Specimen part
View SamplesThe use of statistical tools established for the genetic analysis of quantitative traits can be applied to gene expression data. Quantitative trait loci (QTL) analysis can associate expression of genes or groups of genes with particular genomic regions and thereby identify regions that play a role in the regulation of gene expression. A segregating population of 41 doubled haploid (DH) lines from the hard red spring wheat cross RL4452 x AC Domain was used. This population had previously been mapped with microsatellites and includes a full QTL analysis for agronomic and seed quality traits. Expression analysis from 5 day post anthesis developing seed was conducted on 39 of the 41 DH lines using the Affymetrix wheat array. Expression analysis of developing seeds from field grown material identified 1,327 sequences represented by Affymetrix probe sets whose expression varied significantly between genotypes of the population. A sub-set of 378 transcripts were identified that each mapped to a single chromosome interval illustrating that major expression QTLs can be found in wheat. Genomic regions corresponding to multiple expression QTLs were identified that were coincident with previous identified seed quality trait QTL. These regions may be important regulatory regions governing economically important traits. Comparison of expression mapping data with physical mapping for a sub-set of sequences showed that both cis and trans acting expression QTLs were present.
Identifying regions of the wheat genome controlling seed development by mapping expression quantitative trait loci.
No sample metadata fields
View SamplesThis SuperSeries is composed of the SubSeries listed below.
Identifying regions of the wheat genome controlling seed development by mapping expression quantitative trait loci.
No sample metadata fields
View Samples