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GSE35918
Xenopus laevis
20 Downloadable Samples
Affymetrix Xenopus laevis Genome Array (xenopuslaevis)
Description
Eye development is a multistep process that requires specific inductive signals and precise morphogenetic movements, starting early during development in the eye-field, a well-definite region of the anterior neural plate. It has been demonstrated that a gene network of eye field transcription factors (EFTFs) contributes to specify the neural and retinal fate of the eye field. Among these EFTFs, Xrx1 is involved in proliferation and neurogenesis in the eye field and is necessary for the correct development of the retina.
Publication Title
Brief report: Rx1 defines retinal precursor identity by repressing alternative fates through the activation of TLE2 and Hes4.
Sample Metadata Fields
Specimen part
View Samples- Homo sapiens
- 12 Downloadable Samples
- Affymetrix Human Genome U133A Array (hgu133a)
Description
We performed microarray analysis to evaluate differences in the transcriptome of type 2 diabetic human islets compared to non-diabetic islet samples.
Publication Title
Class II phosphoinositide 3-kinase regulates exocytosis of insulin granules in pancreatic beta cells.
Sample Metadata Fields
Sex, Age, Specimen part, Disease, Disease stage
View Samples- Arabidopsis thaliana
- 4 Downloadable Samples
- Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)
Description
Senescence is genetically-controlled and activated in mature tissues during ageing. However, immature plant tissues also display senescence-like symptoms when continuously exposed to adverse energy-depleting conditions. We used detached dark-held immature inflorescences of Arabidopsis thaliana to understand the metabolic reprogramming occurring in immature tissues transitioning from rapid growth to precocious senescence. Macroscopic growth of the detached inflorescences rapidly ceased upon placement in water in the dark at 21C. Inflorescences were completely de-greened by 120 h of dark incubation and by 24 h had already lost 24% of their chlorophyll and 34% of their protein content. Comparative transcriptome profiling at 24 h revealed that inflorescences response at 24 h had a large carbon-deprivation component. Genes that positively regulate developmental senescence (ANAC092) and shade avoidance syndrome (PIF4 and PIF5) were up-regulated within 24 h. Mutations in these genes delayed de-greening of the inflorescences. Their up-regulation was suppressed in dark-held inflorescences by glucose treatment, which promoted macroscopic growth and development and inhibited de-greening of the inflorescences. Detached inflorescences held in the dark for 4 days were still able to re-initiat development to produce siliques upon being brought out to light indicating the transcriptional reprogramming at 24 h was adaptive and reversible. Our results suggest that the response of detached immature tissues to dark storage involves interactions between carbohydrate status sensing and light deprivation signaling and that the dark adaptive response of the tissues appears to utilize some of the same key regulators as developmental senescence.
Publication Title
Carbon deprivation-driven transcriptome reprogramming in detached developmentally arresting Arabidopsis inflorescences.
Sample Metadata Fields
Specimen part, Treatment, Time
View Samples- Mus musculus
- 3 Downloadable Samples
- Affymetrix Mouse Expression 430A Array (moe430a)
Description
Overexpression of a transcription factor Pbx1a under tetracycline control (tet-on) in neuro2a cell line. Comparison of induced (expressing) vs non-induced (non-expressing) cells.
Publication Title
No associated publication
Sample Metadata Fields
Cell line
View Samples- Homo sapiens
- 2886 Downloadable Samples
- Affymetrix Human Genome U133A 2.0 Array (hgu133a2)
Description
Consider 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.
Publication Title
An individualized predictor of health and disease using paired reference and target samples.
Sample Metadata Fields
Specimen part, Subject, Time
View Samples- Homo sapiens
- 711 Downloadable Samples
- Affymetrix Human Transcriptome Array 2.0 (hta20)
Description
African-American individuals of the GENOA cohort
Publication Title
Genetic Architecture of Gene Expression in European and African Americans: An eQTL Mapping Study in GENOA.
Sample Metadata Fields
Sex, Age, Specimen part
View Samples- Homo sapiens
- 97 Downloadable Samples
- Affymetrix Human Exon 1.0 ST Array [probe set (exon) version (huex10st)
Description
The NIH Roadmap Epigenomics Mapping Consortium aims to produce a public resource of epigenomic maps for stem cells and primary ex vivo tissues selected to represent the normal counterparts of tissues and organ systems frequently involved in human disease.
Publication Title
The NIH Roadmap Epigenomics Mapping Consortium.
Sample Metadata Fields
Sex, Specimen part, Disease, Subject
View Samples- Homo sapiens
- 724 Downloadable Samples
Illumina human-6 v2.0 expression beadchip, Affymetrix Human Genome U219 Array (hgu219)
Description
This SuperSeries is composed of the SubSeries listed below.
Publication Title
Innate immune activity is detected prior to seroconversion in children with HLA-conferred type 1 diabetes susceptibility.
Sample Metadata Fields
Sex, Specimen part
View Samples- Homo sapiens
- 667 Downloadable Samples
- Affymetrix Human Genome U133A Array (hgu133a)
Description
A cardinal symptom of Major Depressive Disorder (MDD) is the disruption of circadian patterns. Yet, to date, there is no direct evidence of circadian clock dysregulation in the brains of MDD patients. Circadian rhythmicity of gene expression has been observed in animals and peripheral human tissues, but its presence and variability in the human brain was difficult to characterize. Here we applied time-of-death analysis to gene expression data from high-quality postmortem brains, examining 24-hour cyclic patterns in six cortical and limbic regions of 55 subjects with no history of psychiatric or neurological illnesses ('Controls') and 34 MDD patients. Our dataset covered ~12,000 transcripts in the dorsolateral prefrontal cortex (DLPFC), anterior cingulate cortex (AnCg), hippocampus (HC), amygdala (AMY), nucleus accumbens (NAcc) and cerebellum (CB). Several hundred transcripts in each region showed 24-hour cyclic patterns in Controls, and >100 transcripts exhibited consistent rhythmicity and phase-synchrony across regions. Among the top ranked rhythmic genes were the canonical clock genes BMAL1(ARNTL), PER1-2-3, NR1D1(REV-ERB), DBP, BHLHE40(DEC1), and BHLHE41(DEC2). The phasing of known circadian genes was consistent with data derived from other diurnal mammals. Cyclic patterns were much weaker in MDD brains, due to shifted peak timing and potentially disrupted phase relationships between individual circadian genes. This is the first transcriptome-wide analysis of cyclic patterns in the human brain and demonstrates a rhythmic rise and fall of gene expression in regions outside of the suprachiasmatic nucleus in control subjects. The description of its breakdown in MDD suggest novel molecular targets for treatment of mood disorders.
Publication Title
Circadian patterns of gene expression in the human brain and disruption in major depressive disorder.
Sample Metadata Fields
Subject
View Samples- Homo sapiens
- 419 Downloadable Samples
- Affymetrix Human Gene 1.1 ST Array (hugene11st)
Description
With aging, significant changes in circadian rhythms occur, including a shift in phase toward a morning chronotype and a loss of rhythmicity in circulating hormones. However, the effects of aging on molecular rhythms in the human brain have remained elusive. Here we employed a previously-described time-of-death analyses to identify transcripts throughout the genome that have a significant circadian rhythm in expression in the human prefrontal cortex (Brodmanns areas (BA) 11 and 47). Expression levels were determined by microarray analysis in 146 individuals. Rhythmicity in expression was found in ~10% of detected transcripts (p<0.05). Using a meta-analysis across the two brain areas, we identified a core set of 235 genes (q<0.05) with significant circadian rhythms of expression. These 235 genes showed 92% concordance in the phase of expression between the two areas. In addition to the canonical core circadian genes, a number of other genes were found to exhibit rhythmic expression in the brain. Notably, we identified more than one thousand genes (1186 in BA11; 1591 in BA47) that exhibited age-dependent rhythmicity or alterations in rhythmicity patterns with aging. Interestingly, a set of transcripts gained rhythmicity in older individuals, which may represent a compensatory mechanism due to a loss of canonical clock function. Thus, we confirm that rhythmic gene expression can be reliably measured in human brain and identified for the first time significant changes in molecular rhythms with aging that may contribute to altered cognition, sleep and mood in later life.
Publication Title
Effects of aging on circadian patterns of gene expression in the human prefrontal cortex.
Sample Metadata Fields
Sex, Age, Specimen part, Race
View Samples