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GSE4870
Mus musculus
45 Downloadable Samples
Affymetrix Murine Genome U74A Version 2 Array (mgu74av2)
Description
Tissue-specific comparison of gene expression levels in T65H translocation mice, either with or without uniparental duplications of Chrs 7 & 11. Identification of highly differentially expressed transcripts.
Publication Title
Chromosome-wide identification of novel imprinted genes using microarrays and uniparental disomies.
Sample Metadata Fields
Specimen part
View Samples- Mus musculus
- 2 Downloadable Samples
- Affymetrix Mouse Genome 430 2.0 Array (mouse4302)
Description
Comparison of gene expression levels between MatDp(dist2) and PatDp(dist2) mice (newborn whole head). Identification of highly differentially expressed transcripts.
Publication Title
Transcript- and tissue-specific imprinting of a tumour suppressor gene.
Sample Metadata Fields
Specimen part
View Samples- Mus musculus
- 17 Downloadable Samples
- Affymetrix Murine Genome U74A Version 2 Array (mgu74av2)
Description
Expression profiles at various time points after surgical intervention for pressure-overload induced cardiac hypertrophy and failure.
Publication Title
Small proline-rich protein 1A is a gp130 pathway- and stress-inducible cardioprotective protein.
Sample Metadata Fields
Sex, Age, Specimen part, Disease, Disease stage, Subject
View Samples- Homo sapiens
- 7 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
Gene transcripts and proteins expressed during disease pathogenesis identify targets for therapy. We performed microarray analysis of histologically characterized multiple sclerosis (MS) brain lesions in comparison with control brain samples to identify differentially expressed molecules. We identified CD47 as a target of interest and studied its biology in MS and EAE.
Publication Title
Janus-like opposing roles of CD47 in autoimmune brain inflammation in humans and mice.
Sample Metadata Fields
Specimen part, Disease, Disease stage
View Samples- Homo sapiens
- 14 Downloadable Samples
IlluminaHiSeq2500
Description
We characterized the gene expression differences in mDA neurons from all PD (Parkinson''s disease) cases (6 independent samples) and controls (8 independent samples), identifying 1,028 differentially expressed genes making up the PD expression signature. Strikingly, MAOB gene was identified as significantly differentially expressed (p = 0.046). The heat map clearly differentiates cases from controls, where interestingly most differentially expressed genes had lower expression in PD cases compared to controls. In the clustering, the RNA expression pattern of the control (C2) with a family history of PD located close to the PD expression signature suggested a susceptibility to PD. Overall design: RNA was isolated from FAC-sorted cells of 14 samples (biological duplicates for each cell line, 7 cell lines in total) using RNeasy Micro Kit (QIAGEN). Quality control of the RNA was carried out with the Agilent Bio-analyzer, Qubit 2.0 at the MPSR of Columbia University. 100 ng of RNA with RIN = 9 were used for generating mRNA-focused libraries using TruSeq RNA Sample Preparation Kit v2 and sequencing on an Illumina 2000/2500 V3 Instrument offered by the Columbia Genome Center.
Publication Title
iPSC-derived dopamine neurons reveal differences between monozygotic twins discordant for Parkinson's disease.
Sample Metadata Fields
No sample metadata fields
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- Arabidopsis thaliana
- 24 Downloadable Samples
- Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)
Description
Arabidopsis fc2-1 mutants fail to properly de-etiolate after a prolonged period in the dark. Our goal was to monitor whole genome expression during the first 2 hours of de-etiolation to determine the cuase of this growth arrest.
Publication Title
Ubiquitin facilitates a quality-control pathway that removes damaged chloroplasts.
Sample Metadata Fields
Specimen part
View Samples- Rattus norvegicus
- 4 Downloadable Samples
- Affymetrix Rat Genome 230 2.0 Array (rat2302)
Description
Abstract
Publication Title
Evidence of a functional role for mast cells in the development of type 1 diabetes mellitus in the BioBreeding rat.
Sample Metadata Fields
No sample metadata fields
View Samples- Homo sapiens
- 268 Downloadable Samples
- Affymetrix Human Genome U133A 2.0 Array (hgu133a2)
Description
The transcriptional responses of human hosts towards influenza viral pathogens are important for understanding virus-mediated immunopathology. Despite great advances gained through studies using model organisms, the complete temporal host transcriptional responses in a natural human system are poorly understood. In a human challenge study using live influenza (H3N2/Wisconsin) viruses, we conducted a clinically uninformed (unsupervised) factor analysis on gene expression profiles and established an ab initio molecular signature that strongly correlates to symptomatic clinical disease. This is followed by the identification of 42 biomarkers whose expression patterns best differentiate early from late phases of infection. In parallel, a clinically informed (supervised) analysis revealed over-stimulation of multiple viral sensing pathways in symptomatic hosts and linked their temporal trajectory with development of diverse clinical signs and symptoms. The resultant inflammatory cytokine profiles were shown to contribute to the pathogenesis because their significant increase preceded disease manifestation by 36 hours. In subclinical asymptomatic hosts, we discovered strong transcriptional regulation of genes involved in inflammasome activation, genes encoding virus interacting proteins, and evidence of active anti-oxidant and cell-mediated innate immune response. Taken together, our findings offer insights into influenza virus-induced pathogenesis and provide a valuable tool for disease monitoring and management in natural environments.
Publication Title
Temporal dynamics of host molecular responses differentiate symptomatic and asymptomatic influenza a infection.
Sample Metadata Fields
Specimen part
View Samples- Mus musculus
- 12 Downloadable Samples
- Affymetrix Mouse Gene 1.0 ST Array (mogene10st)
Description
A persistent and non-resolving inflammatory response to accumulating A peptide species is a cardinal feature in the development of Alzheimer's disease (AD). In response to accumulating A peptide species, microglia, the innate immune cells of the brain, generate a toxic inflammatory response that accelerates synaptic and neuronal injury. Many pro-inflammatory signaling pathways are linked to progression of neurodegeneration. However, endogenous anti-inflammatory pathways capable of suppressing A-induced inflammation represent a relatively unexplored area.
Publication Title
Suppression of Alzheimer-associated inflammation by microglial prostaglandin-E2 EP4 receptor signaling.
Sample Metadata Fields
Specimen part
View Samples