Prevalence and severity of allergic diseases have increased worldwide. To date, respiratory allergy phenotypes are not fully characterized and, in addition, the mechanisms underlying sublingual immunotherapy (SLIT) are still unknown.
Exploring novel systemic biomarker approaches in grass-pollen sublingual immunotherapy using omics.
Specimen part, Treatment, Time
View SamplesWe analyzed transcriptional changes in 4 prostate cancer cell lines following treatment with the BET inhibitor I-BET762 using Affymetrix Human Genome U133 Plus 2.0 Arrays.
Inhibition of BET bromodomain proteins as a therapeutic approach in prostate cancer.
Cell line, Time
View SamplesAD is the leading cause of dementia in the elderly. However, disease etiology is still practically unknown. To gain insight into the molecular mechanisms underlying this disease we used the Affymetrix exon arrays to profile the alternative splicing landscape of human entorhinal cortex samples from AD patients and controls. We found a few hundred events of alternative spicing that characterize the AD entorhinal cortex and may have profound effect on the pathogenesis of this disease.
Cholinergic-associated loss of hnRNP-A/B in Alzheimer's disease impairs cortical splicing and cognitive function in mice.
Age, Disease
View SamplesPrevalence and severity of allergic diseases have increased worldwide. To date, respiratory allergy phenotypes are not fully characterized and, along with inflammation progression, treatment is increasingly complex and expensive. Profilin sensitization constitutes a good model to study the progression of allergic inflammation.
Multi-omics analysis points to altered platelet functions in severe food-associated respiratory allergy.
Specimen part
View SamplesThis SuperSeries is composed of the SubSeries listed below.
Muscle Expression of SOD1(G93A) Modulates microRNA and mRNA Transcription Pattern Associated with the Myelination Process in the Spinal Cord of Transgenic Mice.
Age, Specimen part
View SamplesTranscriptional changes were analyzed in two colorectal cancer, two pancreatic cancer, and one small cell lung cancer cell line following treatment with the BET inhibitor GSK525762 and/or the MEK inhibitor trametinib using Affymetrix Human Genome U133 Plus 2.0 Arrays.
MEK inhibitors overcome resistance to BET inhibition across a number of solid and hematologic cancers.
Cell line, Treatment, Time
View SamplesAnalysis of the transcriptional profiles of mRNA and microRNA in Rasless fibroblasts. 4-Hydroxy-tamoxifen (4-OHT) treatment triggers removal of K-Ras expression in [H-Ras-/-;N-Ras-/-;K-Raslox/lox;RERTert/ert ] mouse fibroblasts (named K-Raslox) generating Rasless MEFs which are unable to proliferate, but recover proliferative ability after ectopic expression of constitutively active downstream kinases such as BRAF and MEK1.
Reversible, interrelated mRNA and miRNA expression patterns in the transcriptome of Rasless fibroblasts: functional and mechanistic implications.
Specimen part, Cell line, Treatment
View SamplesPurpose: This study aimed to identify differentially expressed genes including alternative splice variants in embryonic ventricles following in utero caffeine treatment. Methods: Pregnant CD-1 mice were injected with 20 mg/kg of caffeine or vehicle control daily from embryonic day (E) 6.5-9.5. On E10.5, total RNA was isolated from embryonic ventricles and used for transcriptomic RNA sequencing with Illumina HiSeq 2000 (1X75bp). RNA-seq reads were aligned to the mouse genome (build mm10) with the Tophat for Illumina tool in the PSU galaxy platform. Counting and annotation of RNA-seq reads as well as alternative splicing analysis were performed with Partek Genomics Suite version 6.11. Differential expression of gene and transcript reads between treatments was analyzed with R package EdgeR. Genes/transcripts with false discovery rate (FDR) less than 0.05 and absolute fold change greater than 1.5 were considered as significant. Differentially expressed genes were defined as genes with altered expression at either gene or transcript level. Unique differentially expressed genes were identified by combining the results from annotations with the RefSeq Transcripts (2013-05-10) or Ensembl Transcripts release 71 databases. Results: Differential expression analysis revealed that 59 genes and 451 transcripts were significantly up-regulated, and 65 genes and 398 transcripts were down-regulated by prenatal caffeine treatment (fold change >1.5 or <-1.5; p-value with FDR<0.05). In total, 900 unique genes were identified to have altered expression either at the gene or transcription level. Further analysis with Partek GS revealed that 183 genes had abnormal alternative splicing at the exon level after in utero caffeine treatment. Conclusions: In utero caffeine exposure caused gene expression changes in embryonic ventricles and these changes may lead to long-term effects on cardiac morphology and function. Overall design: mRNA profiles in E10.5 heart ventricles treated with caffeine were generated by deep sequencing (n=2 for vehicle, n=3 for caffeine), using Illumina HiSeq 2000.
Caffeine exposure alters cardiac gene expression in embryonic cardiomyocytes.
No sample metadata fields
View SamplesThis experiment was designed to study oncogene-induced senescence (OIS). To this end we generated a series of cell lines derived from normal human diploid fibroblasts IMR90 forced to express the catalytic subunit of telomerase (hTERT). This cells were then subjected to further manipulation by orderly introducing defined genetic elements by retroviral transduction. The first cell line generated was ITV, which was obtained from the original cell line (IMR90 with hTERT) after introducing an empty vector. Subsequently, we introduced Mek:ER, which is a switchable version of the Mek kinase, a relevant downstream effector of Ras signaling during Ras-induced senescence, to generate ITM cells. We further modified this cell line by introducing SV40 small-t antigen (ST), papillomavirus oncoproteins E6 and E7 (E6/E7) or the combination of both (E6/E7 and ST). In this manner, we obtained ITMST, ITME6E7 and ITME6E7ST respectively.
Tumour biology: senescence in premalignant tumours.
No sample metadata fields
View SamplesThe contribution of epigenetic alterations to natural variation for gene transcription levels remains unclear. In this study, we investigated the functional targets of the maize chromomethylase ZMET2 in multiple inbred lines to determine whether epigenetic changes conditioned by this chromomethylase are conserved or variable within the species. Gene expression microarrays were hybridized with RNA samples from the inbred lines B73 and Mo17, and from near-isogenic derivatives containing the loss-of-function allele zmet2-m1. A set of 126 genes that displayed statistically significant differential expression in zmet2 mutants relative to wild-type plants in at least one of the two genetic backgrounds were identified. Analysis of the transcript levels in both wild-type and mutant individuals revealed that only 10% of these genes were affected in zmet2 mutants in both B73 and Mo17 genetic backgrounds. Over 80% of the genes with expression patterns affected by zmet2 mutations display variation for gene expression between wild-type B73 and Mo17 plants. Further analysis was performed for seven genes that were transcriptionally silent in wild-type B73, but expressed in B73 zmet2-m1, wild-type Mo17 and Mo17 zmet2-m1 lines. Mapping experiments confirmed that the expression differences in wild-type B73 relative to Mo17 inbreds for these genes were caused by cis-acting regulatory variation. Methylation-sensitive PCR and bisulphite sequencing demonstrated that for five of these genes the CpNpG methylation in the wild-type B73 genetic background was substantially decreased in the B73 zmet2-m1 mutant and in wild-type Mo17. A survey of eight maize inbreds reveals that each of these five genes exhibit transcriptionally silent and methylated states in some inbred lines and unmethylated, expressed states in other inbreds, providing evidence for natural variation in epigenetic states for some maize genes.
Natural variation for alleles under epigenetic control by the maize chromomethylase zmet2.
No sample metadata fields
View Samples