Microarray technologies allow the identification of large numbers of expression differences within and between species. Although environmental and physiological stimuli are clearly responsible for changes in the expression levels of many genes, it is not known whether the majority of changes of gene expression fixed during evolution between species and between various tissues within a species are caused by Darwinian selection or by stochastic processes. We find the following: (1) expression differences between species accumulate approximately linearly with time; (2) gene expression variation among individuals within a species correlates positively with expression divergence between species; (3) rates of expression divergence between species do not differ significantly between intact genes and expressed pseudogenes; (4) expression differences between brain regions within a species have accumulated approximately linearly with time since these regions emerged during evolution. These results suggest that the majority of expression differences observed between species are selectively neutral or nearly neutral and likely to be of little or no functional significance. Therefore, the identification of gene expression differences between species fixed by selection should be based on null hypotheses assuming functional neutrality. Furthermore, it may be possible to apply a molecular clock based on expression differences to infer the evolutionary history of tissues.
A neutral model of transcriptome evolution.
Sex, Age, Specimen part, Disease, Disease stage
View SamplesGlioblastomas (GBMs) are divided into CpG Island Methylator Phenotype (CIMP) and non-CIMP tumors. Non-CIMP GBMs derive from cells with non-disjunction of chromosome (chr7) and chromosome 10 (chr10), resulting in chr7 gain and chr10 loss, while CIMP GBMs have mutations in isocitrate dehydrogenase 1 or 2 (IDH1/2). Gain of chr7 is largely driven by PDGFA, but other genes on chr7 are likely to contribute to fitness gains and aggressiveness of these GBMs. We computationally investigated genes on chr7 whose gene expression correlated with survival, identifying HOXA5 as a potential driver of proneural gliomagenesis. Using a combination of human GBM cells and mouse PDGF-driven gliomas, we showed that HOXA5 drives increased proliferation and radiation resistance in culture and in vivo. These phenotypes appear to be in part due to effects on p53 and other apoptosis-related genes.
Increased <i>HOXA5</i> expression provides a selective advantage for gain of whole chromosome 7 in IDH wild-type glioblastoma.
Disease
View SamplesWe found that 5-Aza-dC/decitabine induces various prosurvival pathways (JAK-STAT-, NFkB-, MEK/ERK- and PI3K/AKTpathway) in cHL cell lines. Inhibition of these pathways with specific small molecular weight inhibitors potentiates the antitumor effect of 5-Aza-dC.
Activation of oncogenic pathways in classical Hodgkin lymphoma by decitabine: A rationale for combination with small molecular weight inhibitors.
Cell line
View SamplesKlotho-deficient mice develop aortic valve annulus calcification by 6 weeks of age. Understanding the molecular basis by which aortic valve calcification is initiated will help define potential molecular targets which may be inhibited to reduce or prevent aortic valve calcification.
COX2 inhibition reduces aortic valve calcification in vivo.
Specimen part
View SamplesAbstract.
The IKK2/NF-{kappa}B pathway suppresses MYC-induced lymphomagenesis.
Specimen part
View SamplesThis SuperSeries is composed of the SubSeries listed below.
A chromatin-modifying function of JNK during stem cell differentiation.
Specimen part, Treatment
View SamplesInnate immune responses of plant cells confer the first line of defence against pathogens. Signals generated by activated receptors are integrated inside the cell and converge on transcriptional programmes in the nucleus. The Arabidopsis Toll-related intracellular receptor RPS4 operates inside nuclei to trigger resistance to Pseudomonas bacteria expressing AvrRps4 and defence gene reprogramming through the stress response regulator, EDS1.
Arabidopsis TNL-WRKY domain receptor RRS1 contributes to temperature-conditioned RPS4 auto-immunity.
Specimen part
View SamplesExpression profiling of from DMSO and SP600125 treated glutamatergic neurons reveals JNK target genes that are transcriptionally regulated by JNK signaling.
A chromatin-modifying function of JNK during stem cell differentiation.
Specimen part
View SamplesWe compared gene expression profiles of a human CD4+ T-cell line 24 h after infection with a cell line of the same origin permanently releasing SIVmac251/32H. A new knowledge-based-network approach (Inter-Chain-Finder) was used to identify subnetworks leading to resistance to SIV-induced cell death. Notably, the method can identify not only differentially-expressed key hub genes but also non-differentially expressed, critical, hidden regulators.
Identification of molecular sub-networks associated with cell survival in a chronically SIVmac-infected human CD4+ T cell line.
Disease, Disease stage
View SamplesThe recently released Affymetrix Human Gene 1.0 ST array has two major differences compared with standard 3' based arrays: (1) it interrogates the entire mRNA transcript, and (2) it uses cDNA targets. To assess the impact of these differences on array performance, we performed series of comparative hybridizations between the Human Gene 1.0 ST and the Affymetrix HG-U133 Plus 2.0 and the Illumina HumanRef-8 BeadChip arrays. Additionally, both cRNA and cDNA targets were probed on the HG-U133 Plus 2.0 array. The results show that the overall reproducibility is best using the Gene 1.0 ST array. When looking only at the high intensity probes, the reproducibility of the Gene 1.0 ST array and the Illumina BeadChip array is equally good. Concordance of array results was assessed using different inter-platform mappings. The Gene 1.0 ST is most concordant with the HG-U133 array hybridized with cDNA targets, thus showing the impact of the target type. Agreements are better between platforms with designs which choose probes from the 3' end of the gene. Overall, the high degree of correspondence provides strong evidence for the reliability of the Gene 1.0 ST array.
Affymetrix Whole-Transcript Human Gene 1.0 ST array is highly concordant with standard 3' expression arrays.
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