Glioblastoma multiforme is the most common and aggressive form of brain cancer. The use of oncolytic HSV-1 (oHSV) to selectively target brain cancer cells leading to their lytic destruction has shown to be very promising in a preclinical setting, but is lacking efficacy in clinical trials. Cyr61, a secreted extracellular matrix protein which functions to promote angiogenesis, migration, proliferation and tumorigenesis, was found to be upregulated rapidly following oHSV infection. Here we show, using microarray analysis, that Cyr61 expression leads to the induction of several genes with type 1 interferon function. We show that Cyr61 mediated type 1 IFN induction is through its interaction with integrin alpha6beta1 on the cell surface and results in oHSV inhibition, reducing the efficacy of this therapy.
Extracellular matrix protein CCN1 limits oncolytic efficacy in glioma.
Cell line
View SamplesThe ability to dissect heterogeneity in colorectal cancer (CRC) is a critical step in developing predictive biomarkers. The goal of this study was to develop a gene expression based molecular subgrouping model, which predicts the likelihood that patients will respond to specific therapies.
Activation of the mTOR Pathway by Oxaliplatin in the Treatment of Colorectal Cancer Liver Metastasis.
No sample metadata fields
View SamplesPurpose: Identify differentially expressed genes in placental samples from early-onset (EO) IUGR, EO-PE, as well as pregnancies complicated by both EO-PE and EO-IUGR Overall design: Methods: Isolated total RNA from human placenta at birth and used it for RNA-sequencing on the Hiseq2000. Sequences were aligned to the human transcriptome (hg19/genome_build37) . Aligned sequences were then used to obtain abundance measurements and conduct differential expression analysis.
Placental microRNAs in pregnancies with early onset intrauterine growth restriction and preeclampsia: potential impact on gene expression and pathophysiology.
Specimen part, Subject
View SamplesThis SuperSeries is composed of the SubSeries listed below.
Alignment of time course gene expression data and the classification of developmentally driven genes with hidden Markov models.
No sample metadata fields
View SamplesWe studied intragraft gene expression profiles of positive crossmatch (+XM) kidney transplant recipients who develop transplant glomerulopathy (TG) and those who do not. Whole genome microarray analysis and quantitative rt-PCR for 30 transcripts were performed on RNA from protocol renal allograft biopsies in 3 groups: 1) +XM/TG+ biopsies before and after TG; 2) +XM/NoTG; and 3) negative crossmatch kidney transplants (control). Microarray comparisons showed few differentially expressed genes between paired biopsies from +XM/TG+ recipients before and after the diagnosis of TG. Comparing +XM/TG+ and control groups, significantly altered expression was seen for 2,447 genes (18%) and 3,200 genes (24%) at early and late time points, respectively. Canonical pathway analyses of differentially expressed genes showed inflammatory genes associated with innate and adaptive immune responses. Comparing +XM/TG+ and +XM/NoTG groups, 3,718 probe sets were differentially expressed but these were over-represented in only 4 pathways. A classic accommodation phenotype was not identified. Using rt-PCR, the expression of inflammatory genes was significantly increased in +XM/TG+ recipients compared to control biopsies and to +XM/NoTG biopsies. In conclusion, pre-transplant DSA results in a gene expression profile characterized by inflammation and cellular infiltration and the majority of XM+ grafts are exposed to chronic injury.
Intragraft gene expression in positive crossmatch kidney allografts: ongoing inflammation mediates chronic antibody-mediated injury.
Specimen part, Time
View SamplesChanges in gene expression during berry development during a grape growing season were analysed.
Alignment of time course gene expression data and the classification of developmentally driven genes with hidden Markov models.
No sample metadata fields
View SamplesDifferences in gene expression were compared for grape berry flesh and skin.
Alignment of time course gene expression data and the classification of developmentally driven genes with hidden Markov models.
No sample metadata fields
View SamplesThe primary aim of this project was to identify novel factors, in particular the cell-surface protein CD109, which regulate osteoclastogenesis. Microarray analysis was performed comparing two pre-osteoclast cell lines generated from the RAW 264.7 osteoclast cell line: one that has the capacity to fuse forming large multinucleated cells and one that does not fuse. It was found that CD109 was up-regulated by > 17-fold in the osteoclast forming cell line when compared to the cell line that does not fuse.
CD109 plays a role in osteoclastogenesis.
Specimen part, Cell line
View SamplesOsteoclast (OC) differentiation undergoes a two-step process: commitment of hematopoietic progenitor cells to tartrate-resistant acid phosphatase (TRAcP) positive OC precursors (OCPs), and fusion of OCPs into multinucleated OCs. In order to identify transcriptional profiles of genes in the transitional phase between OC commitment and fusion in OCG, Affymetrix Mouse Gene 1.0 ST arrays were performed on total RNA extracted from mouse (SV129/BL6 ) monocytes and pre-osteoclasts (pre-OCs), primed with macrophage colony-stimulated factor (M-CSF) or M-CSF and soluble recombinant receptor activator of NF-B ligand (sRANKL), respectively. The analysis identified 656 RANKL-up or down-regulated in the early stage of osteoclastogenesis.
The actin binding protein adseverin regulates osteoclastogenesis.
Specimen part
View SamplesComparison of R1 embryonic stem cells response to DMSO and retinoic acid and control
Meta-analysis of differentiating mouse embryonic stem cell gene expression kinetics reveals early change of a small gene set.
Specimen part, Cell line, Compound
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