Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

Comparison of gene expression between ruptured and unruptured human intracranial aneurysms

ABSTRACT: 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.

ORGANISM(S): Homo sapiens

SUBMITTER: Mitja Kurki

PROVIDER: E-GEOD-13353 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

ACCESS DATA

Similar Datasets

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.

Dataset Information

Comparison of gene expression between ruptured and unruptured human intracranial aneurysms

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets