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GSE30550
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- Drosophila melanogaster
- 9 Downloadable Samples
- Affymetrix Drosophila Genome 2.0 Array (drosophila2)
Description
Skeletal muscles are formed in a variety of shapes and sizes, and this diversity impacts muscle function and disease susceptibility. To understand how muscle diversity is generated, we performed gene expression profiling of muscle subsets from Drosophila embryos. By comparing the transcriptional profiles of two muscle subsets, we identified a core group of founder cell-enriched genes. We screened mutant embryos for muscle defects and identified Sin3A and 10 other transcription and chromatin regulators as having novel functions in the Drosophila embryonic somatic musculature. Sin3A is required for the morphogenesis of a subset of muscles, and Sin3A mutants display muscle loss and misattachment. Additionally, misexpression of identity gene transcription factors in Sin3A heterozygous embryos leads to direct transformations of one muscle into another, while overexpression of Sin3A results in the reverse transformation. Our data implicate Sin3A as a key buffer controlling muscle responsiveness to transcription factors in the formation of muscle identity, thereby generating tissue diversity.
Publication Title
Whole-genome analysis of muscle founder cells implicates the chromatin regulator Sin3A in muscle identity.
Sample Metadata Fields
Specimen part
View Samples- Homo sapiens
- 1 Downloadable Sample
Illumina Genome Analyzer IIx
Description
5''-complete cDNA sequencing on ribosome-depleted total RNA from the human K562 cell line. Provides high-quality, genome-wide single-base resolution profiling of transcription start sites and their expression levels. Overall design: This dataset represents a whole-genome, single-base resolution profiling of transcription start site (TSS) expression in the human K562 cell line. These profiles were established using RAMPAGE, a high-throughput, high-accuracy 5''-complete cDNA sequencing method implemented on the Illumina platform. The data was analyzed using custom scripts and algorithms that are all available upon request.
Publication Title
High-fidelity promoter profiling reveals widespread alternative promoter usage and transposon-driven developmental gene expression.
Sample Metadata Fields
Cell line, Subject
View Samples- Drosophila melanogaster
- 78 Downloadable Samples
- Illumina Genome Analyzer IIx, Illumina HiSeq 2000
Description
Purpose: We isolated Drosophila midgut cells : Delta+ intestinal stem cells (ISCs), Su(H)+enteroblasts (EBs), Esg+ cells (ISC+EB), Myo1A+Enterocytes (ECs), Pros+Enteroendocrine cells (EEs) and How+Visceral muscle cells (VM) from whole midguts to identify stem cell specific genes and study cell type specificities of midgut cells. We also isolated all the cell types from the 5 major regions (R1-R5) of the Drosophila midgut to study differences in cells in different regions. Methods: 3-7 day old female flies were dissected. Flies with GFP/YFP marking different cell types (using the GAL4-UAS system) were used to separate cells of the midgut.The midguts were dissociated with Elastase and FACS sorted using FACS AriaIII. RNA was extracted, amplified and sequenced. Whole midgut samples were sequenced on Illumina GAIIX and regional cell populations were sequenced on HiSeq2000. Methods:Raw fastqc reads were mapped to the Drosophila genome (Drosophila_melanogaster.BDGP5.70.dna.toplevel.fa) using Tophat 2.0.9 at default (using boost_1_54_0, bowtie2-2.1.0, samtools-0.1.19). Methods: For differential expression analysis, DESeq (p-value adjustment 0.05 by method Benjamini-Hochberg) was used. The reads were normalized also to Reads per kilobase of transcript per million mapped reads (RPKM). Results: More than 50% of the genome is expressed in the adult midgut (FlyAtlas- Chintapalli et al., 2007), of these genes about 50% (2457) were differentially expressed (DE) between all 4 cell types (ISCs, EBs, ECs and EEs) atleast 2 folds with 95% confidence Results: 159 genes that were specifically enriched in ISCs, 509 genes were specifically repressed in ISCs Conclusions: Our study represents the first detailed analysis of Drosophila intestinal cell transcriptomes, with biologic replicates, generated by RNA-seq technology.Our data facilitates comparative investigations of expression profiles of cells and reveals novel stem cell genes. Further region specific profiling adds precision to the analysis of variances in the midgut regions. We identify transcriptional regulators and regional transcription factors which modulate the midgut physiology. The dataset will be a great resource for hypothesis generation, tool building and fine tuned studies on the Drosophila midgut. Overall design: mRNA profiles of Drosophila intestinal cells from whole midguts and midgut regions were generated by Deep Sequencing. Whole midgut profiles were generated in triplicates (Illumina GAIIx, 72 bp read length) and regional cell type profiles were genrated in duplicates (HiSeq 2000, 50bp read length).
Publication Title
Regional Cell-Specific Transcriptome Mapping Reveals Regulatory Complexity in the Adult Drosophila Midgut.
Sample Metadata Fields
Sex, Specimen part, Subject
View Samples- Homo sapiens
- 41 Downloadable Samples
- Illumina human-6 v2.0 expression beadchip
Description
This SuperSeries is composed of the SubSeries listed below.
Publication Title
Retinoic acid-induced pancreatic stellate cell quiescence reduces paracrine Wnt-β-catenin signaling to slow tumor progression.
Sample Metadata Fields
No sample metadata fields
View Samples- Homo sapiens
- 30 Downloadable Samples
- Illumina human-6 v2.0 expression beadchip
Description
We evaluated the change in expression of genes after treatment of stellate cells with retinoic acid to understand how the stellate cells can de-differentiate and effect their physiological behaviour in pathological conditions. We then tested the changes in the gene expression in 2D and 3D culture conditions for pancreatic stellate cells and in a pancreatic cancer model.
Publication Title
Retinoic acid-induced pancreatic stellate cell quiescence reduces paracrine Wnt-β-catenin signaling to slow tumor progression.
Sample Metadata Fields
No sample metadata fields
View Samples- Mus musculus
- 9 Downloadable Samples
- Affymetrix Mouse Gene 1.0 ST Array (mogene10st)
Description
This SuperSeries is composed of the SubSeries listed below.
Publication Title
Genomic occupancy of Runx2 with global expression profiling identifies a novel dimension to control of osteoblastogenesis.
Sample Metadata Fields
Specimen part
View Samples- Homo sapiens
- 11 Downloadable Samples
- Illumina human-6 v2.0 expression beadchip
Description
We evaluated the change in expression of genes after treatment of stellate cells with retinoic acid to understand how the stellate cells can de-differentiate and effect their physiological behaviour in pathological conditions. We then tested the changes in the gene expression in 2D and 3D culture conditions for pancreatic stellate cells and in a pancreatic cancer model.
Publication Title
Retinoic acid-induced pancreatic stellate cell quiescence reduces paracrine Wnt-β-catenin signaling to slow tumor progression.
Sample Metadata Fields
No sample metadata fields
View Samples- Mus musculus
- 9 Downloadable Samples
- Affymetrix Mouse Gene 1.0 ST Array (mogene10st)
Description
Osteogenesis is a highly regulated developmental process and continues during the turnover and repair of mature bone. Runx2, the master regulator of osteoblastogenesis, directs a transcription program essential for bone formation through both genetic and epigenetic mechanisms. While individual Runx2 gene targets have been identified, further insights into the broad spectrum of Runx2 functions required for osteogenesis are needed. By performing genome-wide characterization of Runx2 binding at the three major stages of osteoblast differentiation: proliferation, matrix deposition and mineralization, we identified Runx2-dependent regulatory networks driving bone formation. Using chromatin immunoprecipitation followed by high-throughput sequencing (ChIP-Seq) over the course of these stages, we discovered close to 80,000 significantly enriched regions of Runx2 binding throughout the mouse genome. These binding events exhibited distinct patterns during osteogenesis, and were associated with proximal promoters as well as a large percentage of Runx2 occupancy in non-promoter regions: upstream, introns, exons, transcription termination site (TTS) regions, and intergenic regions. These peaks were partitioned into clusters that are associated with genes in complex biological processes that support bone formation. Using Affymetrix expression profiling of differentiating osteoblasts depleted of Runx2, we identified novel Runx2 targets including Ezh2, a critical epigenetic regulator; Crabp2, a retinoic acid signaling component; Adamts4 and Tnfrsf19, two remodelers of extracellular matrix. We demonstrated by luciferase assays that these novel biological targets are regulated by Runx2 occupancy at non-promoter regions. Our data establish that Runx2 interactions with chromatin across the genome reveal novel genes, pathways and transcriptional mechanisms that contribute to the regulation of osteoblastogenesis.
Publication Title
Genomic occupancy of Runx2 with global expression profiling identifies a novel dimension to control of osteoblastogenesis.
Sample Metadata Fields
Specimen part
View Samples- Homo sapiens
- 5 Downloadable Samples
- Affymetrix Human Gene 1.0 ST Array (hugene10st)
Description
This SuperSeries is composed of the SubSeries listed below.
Publication Title
Identifying Nuclear Matrix-Attached DNA Across the Genome.
Sample Metadata Fields
Specimen part, Cell line
View Samples