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GSE56511
Mus musculus
6 Downloadable Samples
Affymetrix Mouse Gene 2.0 ST Array (mogene20st)
Description
Combined treatment with NRG-1 and DMSO led to efficient differentiation of iPS into mature ventricular-like cardiac cells, which were capable of preserving cardiac function and tissue viability when transplanted into a mouse model of myocardial infarction.
Publication Title
Neuregulin-1β induces mature ventricular cardiac differentiation from induced pluripotent stem cells contributing to cardiac tissue repair.
Sample Metadata Fields
Sex
View Samples- Mus musculus
- 49 Downloadable Samples
- Affymetrix Murine Genome U74A Version 2 Array (mgu74av2)
Description
To examine patterns of gene expression in ankle synovial fluid cells and peripheral blood leukocytes during serum transferred arthritis.
Publication Title
Deficiency of CXCR2, but not other chemokine receptors, attenuates autoantibody-mediated arthritis in a murine model.
Sample Metadata Fields
Sex, Age, Time
View Samples- Mus musculus
- 12 Downloadable Samples
Illumina Genome Analyzer II
Description
The goal of the study was to compare gene expression of P0 wild-type and P0 Satb2-/- cortices. Total RNAs were isolated from P0 cortices dissected from wild-type and Satb2-/- mice (n=3 for each genotype), following Qiagen RNAeasy kit instruction.Sequence libraries were made following Illumina RNA TruSeq library preparation guide.The libaries were pair-end sequenced (50nt per end). Differentially expressed genes were identified by DESEQ. Overall design: Total RNAs were isolated from P0 cortices (3 control and 3 mutants), and sequenced on Illumina Genome Analyzer
Publication Title
Mutual regulation between Satb2 and Fezf2 promotes subcerebral projection neuron identity in the developing cerebral cortex.
Sample Metadata Fields
No sample metadata fields
View Samples- Homo sapiens
- 64 Downloadable Samples
Affymetrix Clariom S Human array (clariomshuman), Infinium MethylationEPIC
Description
This SuperSeries is composed of the SubSeries listed below.
Publication Title
Epigenomics and transcriptomics of systemic sclerosis CD4+ T cells reveal long-range dysregulation of key inflammatory pathways mediated by disease-associated susceptibility loci.
Sample Metadata Fields
Sex, Subject
View Samples- Homo sapiens
- 64 Downloadable Samples
- Affymetrix Clariom S Human array (clariomshuman)
Description
Epigenomic and transcriptomic analysis of Systemic Sclerosis CD4+ T cells reveals long range dysregulation of key inflammatory pathways mediated by disease-associated susceptibility loci range dysregulation of key inflammatory pathways mediated by disease-associated
Publication Title
Epigenomics and transcriptomics of systemic sclerosis CD4+ T cells reveal long-range dysregulation of key inflammatory pathways mediated by disease-associated susceptibility loci.
Sample Metadata Fields
Sex, Subject
View Samples- Mus musculus, Homo sapiens
- 24 Downloadable Samples
- Affymetrix Human Genome U133A 2.0 Array (hgu133a2)
Description
To elucidate mechanisms of cancer progression, we generated inducible human neoplasia in 3-dimensionally intact epithelial tissue. Gene expression profiling of both epithelia and stroma at specific time points during tumor progression revealed sequential enrichment of genes mediating discrete biologic functions in each tissue compartment. A core cancer progression signature was distilled using the increased signaling specificity of downstream oncogene effectors and subjected to network modeling. Network topology predicted that tumor development depends upon specific ECM-interacting network hubs. Blockade of one such hub, the b1 integrin subunit, disrupted network gene expression and attenuated tumorigenesis in vivo. Thus, integrating network modeling and temporal gene expression analysis of inducible human neoplasia provides an approach to prioritize and characterize genes functioning in cancer progression.
Publication Title
Modeling inducible human tissue neoplasia identifies an extracellular matrix interaction network involved in cancer progression.
Sample Metadata Fields
Specimen part
View Samples- Caenorhabditis elegans
- 57 Downloadable Samples
- Illumina HiSeq 2000
Description
The nematode Caenorhabditis elegans is an important model for studies of germ cell biology, including specification as sperm or oocyte, the meiotic cell cycle and gamete differentiation. Fundamental to those studies is a genome-level knowledge of the germline transcriptome. Here we use RNA-Seq to identify genes expressed in isolated XX gonads, which are roughly 95% germline and 5% somatic gonadal tissue. We generate data from mutants making either sperm [fem-3(q96)] or oocytes (fog-2), both grown at 22°C. Our dataset identifies a total of 10,754 mRNAs in the polyadenylated transcriptome of XX gonads, with 1,723 enriched in spermatogenic gonads, 2,869 enriched in oogenic gonads and the remaining 6,274 not enriched in either. These spermatogenic, oogenic and gender-neutral gene datasets compare well with those of earlier studies, but double the number of genes identified. We also query our RNA-Seq data for differential exon usage and find 351 mRNAs with sex-specific isoforms. We suggest that this new dataset will prove useful for studies focusing on C. elegans germ cell biology. Overall design: Comparison of spermatogenic vs oogenic transcriptomes
Publication Title
A new dataset of spermatogenic vs. oogenic transcriptomes in the nematode Caenorhabditis elegans.
Sample Metadata Fields
Specimen part, Cell line, Subject
View Samples- Mus musculus
- 332 Downloadable Samples
- Affymetrix Mouse Gene 1.0 ST Array (mogene10st)
Description
This SuperSeries is composed of the SubSeries listed below.
Publication Title
Network pharmacology of JAK inhibitors.
Sample Metadata Fields
Sex, Age, Specimen part, Compound
View Samples- Mus musculus
- 238 Downloadable Samples
- Affymetrix Mouse Gene 1.0 ST Array (mogene10st)
Description
Small molecule inhibitors of JAK kinases have shown clinical effcacy in the treatment of certain autoimmune diseases. While these are known to block upstream JAK signalling events, their broader impact on the transcriptional footprint in immunocytes are unknown. Here we explore the effects of pan- and isoform-specific JAK blockade on the immuno-genomic network by genomic profiling.
Publication Title
Network pharmacology of JAK inhibitors.
Sample Metadata Fields
Sex, Age, Specimen part, Compound
View Samples- Mus musculus
- 32 Downloadable Samples
- Affymetrix Mouse Gene 1.0 ST Array (mogene10st)
Description
B cells respond robustly to type 1 interferons which signal through JAK1 and TYK2. Here we analyzed the effects of a panel of JAK inhibitors on the IFNa transcriptional response in activated B cells in vitro.
Publication Title
Network pharmacology of JAK inhibitors.
Sample Metadata Fields
Sex, Age, Specimen part
View Samples