Identification of microRNA as novel circulating markers for presence of intracranial aneurysms
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ABSTRACT: We carried out a case control study in an attempt to identify changes in circulating microRNAs in patients with intracranial aneurysms (IAs). We selected 40 cases (20 ruptured and 20 unruptured) and 20 healthy controls. We randomly selected 5 samples from each group and combined them into a sample pool. In this way we obtained 12 sample pools and one pool was used for a single microarray. Changes in microRNA levels in the plasma were surveyed with Agilent Human microRNA Microarray (Release 14.0, 8x15K). We identified 20 microRNAs that were unanimously changed in both ruptured and unruptured patients.
Project description:We carried out a case control study in an attempt to identify changes in circulating microRNAs in patients with intracranial aneurysms (IAs). We selected 40 cases (20 ruptured and 20 unruptured) and 20 healthy controls. We randomly selected 5 samples from each group and combined them into a sample pool. In this way we obtained 12 sample pools and one pool was used for a single microarray. Changes in microRNA levels in the plasma were surveyed with Agilent Human microRNA Microarray (Release 14.0, 8x15K). We identified 20 microRNAs that were unanimously changed in both ruptured and unruptured patients. We included 40 cases (20 ruptured and 20 unruptured) and 20 healthy controls. We randomly selected 5 plasma samples from each group and combined them into a sample pool. In this way we obtained 12 sample pools and one pool was used for a single microarray. Total RNA was isolated from 1 ml plasma from each sample pool and resuspended in the same volume of buffer. A fixed volume of RNA sample was used for microarray detection.
Project description:Background and Purpose—Analyzing genes involved in development and rupture of intracranial aneurysms can enhance knowledge about the pathogenesis of aneurysms, and identify new treatment strategies. We compared gene expression between ruptured and unruptured aneurysms and control intracranial arteries. Methods—We determined expression levels with RNA sequencing. Applying a multivariate negative binomial model, we identified genes that were differentially expressed between 44 aneurysms and 16 control arteries, and between 22 ruptured and 21 unruptured aneurysms. The differential expression of 8 relevant and highly significant genes was validated using digital polymerase chain reaction. Pathway analysis was used to identify enriched pathways. We also analyzed genes with an extreme pattern of differential expression: only expressed in 1 condition without any expression in the other. Results—We found 229 differentially expressed genes in aneurysms versus controls and 1489 in ruptured versus unruptured aneurysms. The differential expression of all 8 genes selected for digital polymerase chain reaction validation was confirmed. Extracellular matrix pathways were enriched in aneurysms versus controls, whereas pathways involved in immune response and the lysosome pathway were enriched in ruptured versus unruptured aneurysms. Immunoglobulin genes were expressed in aneurysms, but showed no expression in controls. Conclusions—For rupture of intracranial aneurysms, we identified the lysosome pathway as a new pathway and found further evidence for the role of the immune response. Our results also point toward a role for immunoglobulins in the pathogenesis of aneurysms. Immune-modifying drugs are, therefore, interesting candidate treatment strategies in the prevention of aneurysm development and rupture.
Project description:The primary aim of the present study was to identify differences on the transcription level between ruptured and unruptured intracranial aneurysms as well as normal intracranial arteries in human. Keywords: Expression profiling by array Global gene expression profiling was performed in human intracranial aneurysms both ruptured (n=8) and unruptured (n=6) as well as in control intracranial arteries (middle meningeal artery, MMA; n=5) using oligonucleotide microarrays.
Project description:The primary aim of the present study was to identify differences on the transcription level between ruptured and unruptured intracranial aneurysms as well as normal intracranial arteries in human. Keywords: Expression profiling by array
Project description:Ovulation refers to the process when the ovarian surface-facing wall of a preovulatory follicle ruptures and releases the cumulus oocyte complex (COC) into the oviduct or fallopian tube in response to hormonal cues. In parallel, the unruptured wall of the follicle within the ovary transitions to becoming a progesterone-producing corpus luteum. Ovulation is essential for fertilization and eventual pregnancy. Disruption of ovulation, whether purposefully through contraceptive intervention or idiopathically in cases of anovulatory infertility, has translational implications for human health. Importantly, key processes of ovulation, including follicle rupture and luteinization, are recapitulated in models of ex vivo ovulation despite the absence of an intact hypothalamic-pituitary-gonadal axis and intra-ovarian cues. In our study, we used an ex vivo ovulation model to identify functional and molecular differences between distinct regions of the follicle wall, which we refer to as the ruptured and unruptured sides. We observed that the unruptured side of the follicle wall exhibits hallmarks of luteinization after ovulation while the ruptured side exhibits signs of cell death. RNA-sequencing of these specific follicle regions revealed 2,099 differentially expressed genes between follicle sides without hCG exposure and 1,673 between follicle sides 12 hours post-hCG, which were further validated in vivo. We found enriched pathways that recapitulate known ovulation biology, including oxidative stress on the ruptured side and angiogenesis on the unruptured side. We also identified previously unappreciated pathways that may play an important role in ovulation, such as amino acid transport and Jag-Notch signaling on the ruptured side, as well as metal ion processing and IL-11 signaling on the unruptured side. Ultimately our studies demonstrate that our ex vivo model recapitulates known in vivo ovarian biology, identifies pathways that may be novel regulators of ovulation and luteinization, and may have future translational applications for the study of ovulatory disorders and the development of novel non-hormonal contraceptives.
Project description:We have employed microRNA expression profiling of iPSCs and NDFs as a discovery platform to identify microRNAs involved in reprogramming of NDFs to iPSCs. Using Agilent human miRNA (V3) 8X15K microarray, we performed microRNA profiling of iPSCs at passage 20 and NDFs at passage 5
Project description:Background and Purpose Aneurysmal subarachnoid hemorrhage, almost always from saccular intracranial aneurysm (sIA), is a devastating form of stroke that affects working age population. Cellular and molecular mechanisms predisposing to the rupture of the sIA wall are largely unknown. Such knowledge would facilitate the design of novel diagnostic tools and therapies for the sIA disease. Methods We compared the whole genome expression profile of eleven ruptured sIA wall samples, resected at a median of 15 hours after rupture, to that of eight unruptured ones. Signaling pathways enriched in the ruptured sIA walls were identified with bioinformatic analyses. Their transcriptional control was predicted in silico by seeking the enrichment of conserved transcription factor binding sites in the promoter regions of differentially expressed genes. Results Overall, 686 genes were significantly upregulated and 740 downregulated in the ruptured sIA walls. Significantly upregulated biological processes included: response to turbulent blood flow; chemotaxis; leukocyte migration; oxidative stress; vascular remodelling; and extracellular matrix degradation. Toll like receptor (TLR) signalling and NF-κB, HIF1A and ETS transcription factor binding sites were significantly enriched among the upregulated genes. Conclusions We identified pathways and candidate genes associated to the rupture of human sIA wall. These results provide a molecular basis analysis (a) to identify rupture-prone sIAs and (b) to prevent their rupture. Novel measures to prevent the rupture of sIA wall may include inhibition of response to turbulent blood flow, leukocyte migration, TLR signalling, or blockade of NF-κB, HIF1A and ETS transcription factors. Human aneurysm pouches were clipped intraoperatively and immediately snap frozen. RNA was extracted from 19 (11 ruptured and 8 unruptured) aneurysm samples and used in microarray hybridization.
Project description:microRNA dysregulation is a common feature of cancer cells, but the complex roles of microRNAs in cancer are not fully elucidated. Here we used functional genomics to identify oncogenic microRNAs in non-small cell lung cancer and to evaluate their impact on response to EGFR targeting therapy. Our data demonstrate that microRNAs with an AAGUGC-motif in their seed-sequence increase both cancer cell proliferation and sensitivity to EGFR inhibitors. Global transcriptomics, proteomics and target prediction resulted in the identification of several tumor suppressors involved in the G1/S transition as targets of AAGUGC-microRNAs. The clinical implications of our findings were evaluated by analysis of public domain data supporting the link between this microRNA seed-family, their tumor suppressor targets and cancer cell proliferation. In conclusion we propose that AAGUGC-microRNAs are an integral part of an oncogenic signaling network, and that these findings have potential therapeutic implications, especially in selecting patients for EGFR-targeting therapy.