Acute rejection in cardiac transplant patients is still a contributing factor to limited survival of the implanted heart. Currently there are no biomarkers in clinical use that can predict, at the time of transplantation, the likelihood of post-transplantation acute rejection, which would be of great importance for personalizing immunosuppressive treatment. Within the Biomarkers in Transplantation initiative, the predictive biomarker discovery focused on data and samples collected before or during transplantation such as: clinical variables, genes and proteins from the recipient, and genes from the donor. Based on this study, the best predictive biomarker panel contains genes from the recipient whole blood and from donor endomyocardial tissue and has an estimated area under the curve of 0.90. This biomarker panel provides clinically relevant prediction power and may help personalize immunosuppressive treatment and frequency of rejection monitoring.
Predicting acute cardiac rejection from donor heart and pre-transplant recipient blood gene expression.
Sex, Age, Specimen part, Race
View SamplesAn important question for the use of the mouse as a model for studying human disease is the degree of functional conservation of genetic control pathways from human to mouse. The human placenta and mouse placenta show structural similarities but there has been no systematic attempt to assess their molecular similarities or differences. We built a comprehensive database of protein and microarray data for the highly vascular exchange region micro-dissected from the human and mouse placenta near-term. Abnormalities in this region are associated with two of the most common and serious complications of human pregnancy, maternal preeclampsia (PE) and fetal intrauterine growth restriction (IUGR), each disorder affecting ~5% of all pregnancies.
Comparative systems biology of human and mouse as a tool to guide the modeling of human placental pathology.
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View SamplesThis SuperSeries is composed of the SubSeries listed below.
Effects of Acute Prenatal Exposure to Ethanol on microRNA Expression are Ameliorated by Social Enrichment.
Sex
View SamplesIn this study, we tested if miRNAs are altered in amygdala and ventral striatum as a consequence of prenatal ethanol exposure and/or social enrichment. miRNA samples from 72 male and female adolescent rats were analyzed by RNA-Seq analysis and Affymetrix miRNA arrays. Several miRNAs showed significant changes due to prenatal ethanol exposure or social enrichment in one or both brain regions. Some of the miRNA changes caused by ethanol were reversed by social enrichment. The top predicted gene targets of these miRNAs were mapped and subjected to pathway enrichment analysis. We also directly examined the evidence for modulation of target mRNAs in whole transcriptome microarray data from the same rats. Among the pathways most strongly affected were p53, CREB, Glutamate and GABA signaling. Together, our data suggest a number of novel epigenetic mechanisms for social enrichment to reverse the effects of ethanol exposure.
Effects of Acute Prenatal Exposure to Ethanol on microRNA Expression are Ameliorated by Social Enrichment.
Sex
View SamplesGene expression profiles were compared between regulatory T cells (Treg) and Effector CD4+ T cells in healthy B6 mice and sick mice with scurfy mutation.
Foxp3-deficient regulatory T cells do not revert into conventional effector CD4+ T cells but constitute a unique cell subset.
Sex, Specimen part
View SamplesThe anaphylatoxin C5a is a potent mediator of innate immunity and promotes inflammation via its receptor C5aR1 upon complement system activation danger-associated molecular patterns. Both C5a and C5aR1 are thought to be contributing factors in inflammatory and infectious conditions of the bone. Bone fracture healing, for example, was significantly improved when applying a C5aR1-antagonist in a rodent model of severe systemic inflammation and osteoblasts were found to be target cells for C5a in this setting. Interestingly, osteoblasts up-regulate C5aR1 during osteogenic differentiation and after bone injury. Further, C5a induces inflammatory cytokines, such as IL-6, and the osteoclastogenic mediator RANKL in osteoblasts. However, the molecular mechanisms underlying C5a-C5aR1 signaling axis in osteoblasts remain unclear, and further targets of C5a are still elusive. Using microarray analysis, we analyzed intracellular events following C5aR1 activation in osteoblasts and defined up- or down-regulated genes and their belonging biological pathways.
C5aR1 interacts with TLR2 in osteoblasts and stimulates the osteoclast-inducing chemokine CXCL10.
Treatment
View SamplesThe tumor suppressor p53 can induce various biological responses. Yet it is not clear whether it is p53 in vivo promoter selectivity that triggers different transcription programs leading to different outcomes. Our analysis of genome-wide chromatin occupancy by p53 using ChIP-seq (deposited in Sequence Read Archive database as SRP007261) revealed p53 default program, i.e. the pattern of major p53-bound sites that is similar upon p53 activation by nutlin3a, RITA or 5-FU in breast cancer cells, despite different biological outcomes triggered by these compounds. Parallel analysis of gene expression allowed identification of 280 previously unknown p53 target genes, including p53-repressed AURKA. The consensus p53 binding motif was present more frequently in p53-induced, than in repressed targets, indicating different mechanisms of gene activation versus repression. We identified several possible cofactors of p53, and found that STAT3 antagonised p53-mediated repression of a subset of genes, including AURKA. Finally, we showed that the expression of the novel p53 targets correlates with p53 status and survival in breast cancer patients.
Insights into p53 transcriptional function via genome-wide chromatin occupancy and gene expression analysis.
Cell line, Treatment
View SamplesGenome-wide comparative gene expression analysis of callus tissue of osteoporotic mice (Col1a1-Krm2 and Lrp5-/-) and wild-type were performed to identify candidate genes that might be responsible for the impaired fracture healing observed in Col1a1-Krm2 and Lrp5-/- mice.
Osteoblast-specific Krm2 overexpression and Lrp5 deficiency have different effects on fracture healing in mice.
Sex, Age, Specimen part
View SamplesUridylation of diverse RNA species represents an emerging theme in post-transcriptional gene regulation. In the microRNA pathway, such modifications regulate small RNA biogenesis and stability in plants, worms and mammals. Here, we report the first uridylyltransferase that acts on small RNAs in Drosophila, which we refer to as Tailor. Tailor is the source for the majority of 3´ end-modifications in microRNAs and predominantly targets precursor-hairpins. Uridylation modulates the characteristic two-nucleotide 3´ overhangs of microRNA hairpins, which regulates processing by Dicer-1 and destabilizes RNA hairpins. Furthermore, Tailor preferentially uridylates mirtron-hairpins, thereby impeding the production of non-canonical microRNAs. Mirtron-selectivity is explained by unique primary sequence specificity of Tailor, selecting RNA substrates ending with a 3´ guanosine, a feature not previously observed for TUTases. In contrast to mirtrons, conserved Drosophila pre-miRNAs are significantly depleted in 3´ guanosine, thereby escaping regulatory uridylation. Our data support the hypothesis that evolutionary adaptation to pre-miRNA uridylation shapes the nucleotide composition of pre-miRNA 3´ ends. Hence, hairpin-uridylation may serve as a barrier for the de novo creation of miRNAs in Drosophila. Overall design: mRNA sequencing of Drosophila S2 cells (3-times; control libraries) and three biological replicates of S2 cells stably depleted of CG1091/Tailor by CRISPR/Cas9
Uridylation of RNA Hairpins by Tailor Confines the Emergence of MicroRNAs in Drosophila.
Cell line, Subject
View SamplesExpression profiling of stem cell lines derived from the early embryo representing the trophoblast, primitive endoderm, early epiblast (inner cell mass E3.5) and late post-implantation epiblast (E5.5).
Cell-surface proteomics identifies lineage-specific markers of embryo-derived stem cells.
Sex, Specimen part, Cell line
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