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Homo sapiens
93 Downloadable Samples
Affymetrix Human Gene 1.1 ST Array (hugene11st)
Description
In this experiment we catalogue transcriptional changes accompanying COPD in the quadriceps. We measure global gene transcription in the quadriceps using Affymetrix HuGene 1.1 ST arrays in an unselected cohort of 79 stable COPD patients in secondary care and 16 healthy age-and gender-matched controls.
Publication Title
COPD is accompanied by co-ordinated transcriptional perturbation in the quadriceps affecting the mitochondria and extracellular matrix.
Sample Metadata Fields
Disease, Disease stage
View Samples- Homo sapiens
- 74 Downloadable Samples
- Affymetrix Human Gene 1.1 ST Array (hugene11st)
Description
Transcriptomic and genetic profiles of tumours and matched normal tissues could help to identify important factors and potential therapeutic targets that contribute to tumorigenesis. We integrated omics profiles in tumours and matched adjacent normal tissues of patients with LUSC (N = 20) and LUAD (N = 17)
Publication Title
Metabolomic, transcriptomic and genetic integrative analysis reveals important roles of adenosine diphosphate in haemostasis and platelet activation in non-small-cell lung cancer.
Sample Metadata Fields
Sex, Age
View Samples- Homo sapiens
- 173 Downloadable Samples
- Affymetrix Human Gene 1.1 ST Array (hugene11st)
Description
Changes in the respiratory microbiome are associated with disease progression in Idiopathic pulmonary fibrosis (IPF). The role of the host response to the respiratory microbiome however remains unknown. The role of this study is to explore the host-microbial interaction in IPF. Network analysis of gene expression data identified two gene modules that strongly associate with a diagnosis of IPF, BAL bacterial burden (determined by 16S quantitative PCR) and specific microbial OTUs, as well as lavage and peripheral blood neutrophilia. Genes within these modules that are involved in the host defence response include NLRC4, PGLYRP1, MMP9, DEFA4. The modules also contain two genes encoding specific antimicrobial peptides (SLPI and CAMP). Many of these particular transcripts were associated with survival and showed longitudinal over expression in subjects experiencing disease progression, further strengthening their relationship with disease. Integrated analysis of the host transcriptome and microbial signatures demonstrates an apparent host response to the presence of an altered or more abundant microbiome. These responses remain elevated on longitudinal follow up, suggesting that the bacterial communities of the lower airways may be acting as persistent stimuli for repetitive alveolar injury in IPF.
Publication Title
Host-Microbial Interactions in Idiopathic Pulmonary Fibrosis.
Sample Metadata Fields
Sex, Age, Specimen part, Disease, Disease stage
View Samples- Homo sapiens
- 394 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
Asthma is caused by a combination of poorly understood genetic and environmental factors. We found multiple markers on chromosome 17q21 to be strongly and reproducibly associated with childhood onset asthma in family and case-referent panels with a combined P < 10-12. In independent replication studies the 17q21 locus showed strong association with diagnosis of childhood asthma in 2,320 subjects from a cohort of German children (P = 0.0003) and in 3,301 subjects from the British 1958 Birth Cohort (P = 0.0005). We systematically evaluated the relationships between markers of the 17q21 locus and transcript levels of genes in EBV-transformed lymphoblastoid cell lines from children in the asthma family panel used in our association study. The SNPs associated with childhood asthma were consistently and strongly associated (P <10-22) in cis with transcript levels of ORMDL3, a member of a gene family that encode transmembrane proteins anchored in the endoplasmic reticulum. The results indicate that genetic variants regulating ORMDL3 expression are determinants of susceptibility to childhood asthma.
Publication Title
Genetic variants regulating ORMDL3 expression contribute to the risk of childhood asthma.
Sample Metadata Fields
Sex
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GSE2248- Homo sapiens
- 6 Downloadable Samples
- Affymetrix Human Genome U133A Array (hgu133a)
Description
Comparisons of expression profils of human undiferentiated ES cells and Mesenchymal ES cells
Publication Title
Derivation of multipotent mesenchymal precursors from human embryonic stem cells.
Sample Metadata Fields
No sample metadata fields
View Samples- Mus musculus
- 4 Downloadable Samples
- Affymetrix Mouse Genome 430 2.0 Array (mouse4302)
Description
Snai1 is a master factor of epithelial to mesenchymal transitioin (EMT), however, its role in embryonic stem cell (ESC) differentiation and lineage commitment remains undefined.
Publication Title
Snail1-dependent control of embryonic stem cell pluripotency and lineage commitment.
Sample Metadata Fields
Specimen part
View Samples- Mus musculus
- 4 Downloadable Samples
- Affymetrix Mouse Genome 430 2.0 Array (mouse4302)
Description
Snail1 is a master epithelial-mesenchymal trisition (EMT) factor but its role in ESC maintenance is unknown.
Publication Title
Snail1-dependent control of embryonic stem cell pluripotency and lineage commitment.
Sample Metadata Fields
Specimen part
View Samples- Mus musculus
- 86 Downloadable Samples
- Affymetrix Mouse Gene 2.0 ST Array (mogene20st)
Description
This SuperSeries is composed of the SubSeries listed below.
Publication Title
Diurnal regulation of RNA polymerase III transcription is under the control of both the feeding-fasting response and the circadian clock.
Sample Metadata Fields
Specimen part
View Samples- Mus musculus
- 86 Downloadable Samples
- Affymetrix Mouse Gene 2.0 ST Array (mogene20st)
Description
RNA polymerase III (pol III) synthesizes short non-coding RNAs, many of which, including tRNAs, Rpph1 RNA, Rn5s rRNA, and Rmrp RNA, are essential for translation. Accordingly, pol III activity is tightly regulated with cell growth and proliferation by factors such as MYC, RB1, TRP53, and MAF1. MAF1 is a repressor of pol III transcription whose activity is controlled by phosphorylation; in particular, it is inactivated through phosphorylation by mTORC1 kinase, a sensor of nutrient availability. Pol III regulation is thus sensitive to environmental cues, yet a diurnal profile of pol III transcription activity is so far lacking. Here we document pol III occupancy of its target genes in mouse liver during the diurnal cycle and show that pol III occupancy rises before the onset of the night, stays high during the night, when mice normally ingest food and when translation is increased, and decreases in daytime. By comparing diurnal pol III occupancy in wild-type mice, arrhythmic mice owing to inactivation of the Arntl gene, mice fed at regular intervals during both night and day, and mice lacking the Maf1 gene, we show that whereas higher pol III occupancy during the night reflects a MAF1-dependent response to feeding, the rise of pol III occupancy before the onset of the night reflects a circadian clock-dependent response. Thus, pol III transcription during the diurnal cycle is regulated both in response to nutrients and by the circadian clock, which allows anticipatory pol III transcription.
Publication Title
Diurnal regulation of RNA polymerase III transcription is under the control of both the feeding-fasting response and the circadian clock.
Sample Metadata Fields
Specimen part
View Samples- Saccharomyces cerevisiae
- 24 Downloadable Samples
Illumina HiSeq 2500
Description
We used RNA-seq to monitor mRNA levels of all genes in response to hypoxia of wild-type yeast, S. cerevisiae (strain yMH914 with wildtype HAP1). To gain insights into how gene expression changes over time, cells were subjected to 100% nitrogen gas and collected after 0,5,10,30,60,120,180, and 240 minutes. Total RNA was extracted and mRNAs were enriched by polyA selection. The cDNA was prepared into a sequencing library, multiplexed and single-end sequenced by an Illumina HiSeq 2500 sequencer. After mapping with Tophat2, the number of reads per feature was calculated using HTSeq. Overall design: RNA-seq analysis of eight time points of a yeast strain grown in hypoxia. There are three biological replicates of the time course.
Publication Title
Time-Course Analysis of Gene Expression During the Saccharomyces cerevisiae Hypoxic Response.
Sample Metadata Fields
Subject
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