Filters
Technology
Platform
SRP041704
Zea mays
85 Downloadable Samples
Illumina HiSeq 2500
Description
Analysis of the maize alternative splicing landscape, including transcript discovery and mapping of genotype-dependent variations in alternative splicing using B73, Mo17 and the SX19 inbred mapping population Overall design: Total RNA was isolated from 5 week old leaves of hydroponically grown maize plants and used to construct RNA seq libraries
Publication Title
Genome-wide analysis of alternative splicing in Zea mays: landscape and genetic regulation.
Sample Metadata Fields
Subject
View Samples- Homo sapiens
- 66 Downloadable Samples
Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
The understanding of metastatic spread is limited and molecular mechanisms causing particular characteristics of metastasis are largely unknown. This comprises the extremely varying dormancy periods of tumor cells in the secondary organ after metastatic spread, represented by the disease-free survival (DFS) of the patients, or differing numbers of metastases in different patients. Knowing the molecular fundamentals of these phenomena would support the individual prediction of patients outcome and facilitate the decision for an appropriate monitoring and therapy regime.
Publication Title
CD31, EDNRB and TSPAN7 are promising prognostic markers in clear-cell renal cell carcinoma revealed by genome-wide expression analyses of primary tumors and metastases.
Sample Metadata Fields
Sex, Specimen part, Disease stage
View Samples- Saccharomyces cerevisiae
- 25 Downloadable Samples
- Illumina HiSeq 2500
Description
RNA expression in WT and jhd2? cells in various nutritional sources Overall design: Strand-specific total RNA was sequenced (Illumina stranded TruSeq, with dUTP second strand-incorporation) from wildtype and mutants cells, in biological replicates, normalized by RNA spike-in controls
Publication Title
Mitochondrial control through nutritionally regulated global histone H3 lysine-4 demethylation.
Sample Metadata Fields
Cell line, Subject
View Samples- Homo sapiens
- 56 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
The dendritic cell (DC) is a master regulator of immune responses. Pathogenic viruses subvert normal immune function in DCs through the expression of immune antagonists. Understanding how these antagonists interact with the host immune system requires knowledge of the underlying genetic regulatory network that operates during an uninhibited antiviral response. In order to isolate and identify this network, we studied DCs infected with Newcastle Disease Virus (NDV), which is able to stimulate innate immunity and DC maturation through activation of RIG-I signaling, but lacks the ability to evade the human interferon response. To analyze this experimental model, we developed a new approach integrating genome-wide expression kinetics and time-dependent promoter analysis. We found that the genetic program underlying the antiviral cell state transition during the first 18-hours post-infection could be explained by a single regulatory network. Gene expression changes were driven by a step-wise multi-factor cascading control mechanism, where the specific transcription factors controlling expression changed over time. Within this network, most individual genes are regulated by multiple factors, indicating robustness against virus-encoded immune evasion genes. In addition to effectively recapitulating current biological knowledge, we predicted, and validated experimentally, antiviral roles for several novel transcription factors. More generally, our results show how a genetic program can be temporally controlled through a single regulatory network to achieve the large-scale genetic reprogramming characteristic of cell state transitions.
Publication Title
Antiviral response dictated by choreographed cascade of transcription factors.
Sample Metadata Fields
Specimen part, Subject
View Samples- Homo sapiens
- 8 Downloadable Samples
- Illumina HiSeq 2000
Description
Aneuploidy, a state of karyotype imbalance, is a hallmark of cancer. Changes in chromosome copy number have been proposed to drive disease by modulating the dosage of cancer driver genes and by promoting cancer genome evolution. Given the potential of cells with abnormal karyotypes to become cancerous, do pathways exist that limit the prevalence of such cells? By investigating the immediate consequences of aneuploidy on cell physiology, we identified mechanisms that eliminate aneuploid cells. We find that chromosome mis-segregation leads to replication stress, generating further genomic instability, increased karyotype complexity, and ultimately cell cycle arrest. Cells with complex karyotypes exhibit features of senescence and a pro-inflammatory response that promotes their clearance by the immune system. We propose that cells with abnormal karyotypes generate a signal for their own elimination that might well be a source of cancer cell immunosurveillance that must be overcome during malignant transformation. Overall design: Assay the transcriptional impact of aneuploidy by comparing the transcriptomes Euploid control RPE-1 cells in Aneuploid cycling RPE-1 cells and Aneuploid arrested RPE-1 cells using RNA-Seq.
Publication Title
Chromosome Mis-segregation Generates Cell-Cycle-Arrested Cells with Complex Karyotypes that Are Eliminated by the Immune System.
Sample Metadata Fields
Cell line, Treatment, Subject
View Samples- Homo sapiens
- 6 Downloadable Samples
- Affymetrix Human Genome U133A 2.0 Array (hgu133a2)
Description
Increased ploidy is common in tumors but treatments for tumors with excess chromosome sets are not available. Here, we characterize high-ploidy breast cancers and identify potential anticancer compounds selective for the high-ploidy state. Among 354 human breast cancers, 10% have mean chromosome copy number exceeding 3, and this is most common in triple negative and HER2-positive types. Women with high-ploidy breast cancers have higher risk of recurrence and death in two patient cohorts, demonstrating that it represents an important group for improved treatment. Because high-ploidy cancers are aneuploid, rather than triploid or tetraploid, we devised a two-step screen to identify selective compounds. The screen was designed to assure both external validity on diverse karyotypic backgrounds and specificity for high-ploidy cell types. This screen identified novel therapies specific to high-ploidy cells. First, we discovered 8-azaguanine, an antimetabolite that is activated by hypoxanthine phosphoribosyltransferase (HPRT), suggesting an elevated gene-dosage of HPRT in high-ploidy tumors can control sensitivity to this drug. Second, we discovered a novel compound, 2,3-Diphenylbenzo[g]quinoxaline-5,10-dione (DPBQ). DPBQ activates p53 and triggers apoptosis in a polyploid-specific manner, but does not inhibit topoisomerase or bind DNA. Mechanistic analysis demonstrates that DPBQ elicits a hypoxia gene signature and its effect is replicated, in part, by enhancing oxidative stress. Structure-function analysis defines the core benzo[g]quinoxaline-5,10 dione as being necessary for the polyploid-specific effects of DPBQ. We conclude that polyploid breast cancers represent a high-risk subgroup and that DPBQ provides a functional core to develop polyploid-selective therapy.
Publication Title
Identification of Selective Lead Compounds for Treatment of High-Ploidy Breast Cancer.
Sample Metadata Fields
Cell line
View Samples- Homo sapiens
- 150 Downloadable Samples
- Illumina HumanHT-12 V4.0 expression beadchip
Description
This SuperSeries is composed of the SubSeries listed below.
Publication Title
Human Dendritic Cell Response Signatures Distinguish 1918, Pandemic, and Seasonal H1N1 Influenza Viruses.
Sample Metadata Fields
Specimen part, Treatment
View Samples- Homo sapiens
- 30 Downloadable Samples
- Illumina HumanHT-12 V4.0 expression beadchip
Description
An 8 hours timecourse was performed with human DCs infected either with A/California/7/2009 and A/Brevig Mission/1/1918 (pandemic) or A/New Caledonia/20/99 and A/Texas/36/91 seosonal.
Publication Title
Human Dendritic Cell Response Signatures Distinguish 1918, Pandemic, and Seasonal H1N1 Influenza Viruses.
Sample Metadata Fields
Specimen part, Treatment
View Samples- Homo sapiens
- 120 Downloadable Samples
- Illumina HumanHT-12 V4.0 expression beadchip
Description
An 8 hours timecourse was performed with human DCs infected either with A/California/7/2009 and A/Brevig Mission/1/1918 (pandemic) or A/New Caledonia/20/99 and A/Texas/36/91 seosonal.
Publication Title
Human Dendritic Cell Response Signatures Distinguish 1918, Pandemic, and Seasonal H1N1 Influenza Viruses.
Sample Metadata Fields
Specimen part, Treatment
View Samples- Homo sapiens
- 51 Downloadable Samples
- Affymetrix Human Genome U133A 2.0 Array (hgu133a2)
Description
The aim of this data set is to measure the effect of rofecoxib and celecoxib on the transcription profile in an in vitro inflammation model. Transcription profiling was carried out using Affymetrix HG U-133A v2 microarrays.
Publication Title
Understanding multicellular function and disease with human tissue-specific networks.
Sample Metadata Fields
Sex, Specimen part, Race, Time
View Samples