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GSE49331
Mus musculus
18 Downloadable Samples
Affymetrix Mouse Gene 1.0 ST Array (mogene10st)
Description
This SuperSeries is composed of the SubSeries listed below.
Publication Title
Integrated expression profiles of mRNA and miRNA in polarized primary murine microglia.
Sample Metadata Fields
Specimen part
View Samples- Mus musculus
- 9 Downloadable Samples
- Affymetrix Mouse Gene 1.0 ST Array (mogene10st)
Description
The aim of this study was to determine the role that miRNAs have on influencing murine microgial phenotypes under M1(LPS) and M2a (IL-4) stimulating conditions.
Publication Title
Integrated expression profiles of mRNA and miRNA in polarized primary murine microglia.
Sample Metadata Fields
Specimen part
View Samples- Caenorhabditis elegans
- 29 Downloadable Samples
Illumina HiSeq 1500
Description
An essential step for understanding the transcriptional circuits that control development and physiology is the global identification and characterization of regulatory elements. Here we present the first map of regulatory elements across the development and ageing of an animal, identifying 42,245 elements accessible in at least one C. elegans stage. Based on nuclear transcription profiles, we define 15,918 protein-coding promoters and 17,918 putative enhancers, and find that both types of element can drive orientation-independent transcription. Additionally, hundreds of promoters produce transcripts antisense to protein coding genes, suggesting involvement in a widespread regulatory mechanism. We find that the accessibility of most elements is regulated during development and/or ageing and that patterns of accessibility change are linked to specific developmental or physiological processes. The map and characterization of regulatory elements across C. elegans life provides a platform for understanding how transcription controls development and ageing. Overall design: Capped nuclear RNA-seq of wild-type and glp-1 was performed to monitor transcription elongation across C. elegans development and ageing. Two biological replicates were done for each time point (six developmental stages and five ageing timepoints).
Publication Title
Chromatin accessibility dynamics across <i>C. elegans</i> development and ageing.
Sample Metadata Fields
Cell line, Subject
View Samples- 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
- 35 Downloadable Samples
- Illumina HiSeq 2500, Illumina HiSeq 3000
Description
To understand the extent of Smad-mediated gene regulation in the colon, we isolated colon epithelium from Smad4?Lrig1 and from Smad4+ control mice (either mice lacking a CreERT allele and treated with tamoxifen, or mice bearing a CreERT allele but treated with vehicle only) and analyzed the colonic epithelium by RNAseq. The ability of TGFß1 and/or BMP2 to block TNF-mediated induction of Ccl20 from our study suggests that these Smad-mediated pathways may act as gatekeepers for induction of other inflammation-associated genes. To determine if Smad-mediated signaling blocks all or specific subsets of TNF-induced genes, we analyzed both colonocytes and mouse colonoid treated with or without TNF, TGFß1, and BMP2 by RNA seq. Overall design: In total, three RNAseq experiments were performed and three biological replicates were used for each condition: 1. Colon epithelium from Smad4?Lrig1 and from Smad4+ control mice was isolated. Total RNA was isolated from these tissues using RNeasy kit (Qiagen). Processing of RNA using a TruSeq Stranded mRNA sample prep kit was conducted according to the manufacturer's instructions (Illumina, San Diego, CA). 32~37 million 51 base pair single-end reads were generated per sample. 2. Total RNA was isolated from colonocytes treated with or without TNF, TGFß1, and BMP2 using RNeasy kit (Qiagen). Processing of RNA using a TruSeq Stranded mRNA sample prep kit was conducted according to the manufacturer's instructions (Illumina, San Diego, CA). 26~50 million 75 base pair paired-end reads were generated per sample. 3. Total RNA was isolated from mouse colonoid treated with or without TNF, TGFß1, and BMP2 using RNeasy kit (Qiagen). Processing of RNA using a TruSeq Stranded mRNA sample prep kit was conducted according to the manufacturer's instructions (Illumina, San Diego, CA). 50~72 million 75 base pair paired-end reads were generated per sample.
Publication Title
Epithelial Smad4 Deletion Up-Regulates Inflammation and Promotes Inflammation-Associated Cancer.
Sample Metadata Fields
Specimen part, Cell line, Subject
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