Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

Microarray analysis of the brain in a mouse model of cerebral ischemia/reperfusion injury treated with human paraoxonase 1 against vehicle control

ABSTRACT: Paraoxonase 1 (PON 1) binds to high-density lipoprotein (HDL) and is responsible for its anti-atherosclerotic effect through its antioxidant activity. This dataset contains gene expression data obtained from a study investigating the effects of human paraoxonase 1 treatment on acute ischemic stroke model mice. The study aimed to identify gene expression changes associated with the treatment and to understand the molecular mechanisms underlying the therapeutic effects of human paraoxonase 1 in acute ischemic stroke model mice. The dataset includes raw microarray data and associated metadata. The study was conducted using a middle cerebral artery (MCA) ischemia/reperfusion model in mice, and gene expression was measured in the brain tissue samples collected from control and treated mice. The dataset also includes information on the experimental design, sample collection, and data processing methods used in the study.

ORGANISM(S): Mus musculus

SUBMITTER: Naomi Asahara

PROVIDER: E-MTAB-14182 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Project description:Stroke remains a major leading cause of death and disability worldwide. Despite continuous advances, the identification of key molecular signatures of ischemic stroke within the hyper-acute phase of the disease is still of primary interest for a real translational research on stroke diagnosis, prognosis and treatment. High-throughput - omics technologies are enabling large-scale studies on stroke pathology at different molecular levels. Data integration resulting from these -omics approaches is becoming crucial to unravel the interactions among all different molecular elements and highly contribute to interpret all findings in a complex biological context. Here, we have used advanced data integration methods for multi-level joint analysis of transcriptomics and proteomics datasets depicted from the mouse brain 2h after cerebral ischemia. By modeling network-like correlation structures, we identified a set of differentially expressed genes and proteins by ischemia with a relevant association in stroke pathology. The ischemia-induced deregulation of 10 of these inter-correlated elements was successfully verified in a new cohort of ischemic mice, and changes in their expression pattern were also evaluated at a later time-point after cerebral ischemia. Of those, CLDN20, GADD45G, RGS2, BAG5 and CTNND2 were highlighted and evaluated as potential blood biomarkers of cerebral ischemia in blood samples from ischemic and sham-control mice and from ischemic strokes and other patients presenting stroke-mimicking conditions. Our findings indicated that CTNND2 and GADD45G levels in blood within the first hours after ischemic stroke might be potentially useful to discriminate ischemic strokes from mimics and to predict patients’ poor outcome after stroke, respectively. In summary, we have here used for the first time an integrative approach to elucidate by means of biostatistical tools key elements of the initial stages of the stroke pathophysiology, highlighting new outstanding proteins that might be further considered as blood biomarkers of ischemic stroke.

Dataset Information

Microarray analysis of the brain in a mouse model of cerebral ischemia/reperfusion injury treated with human paraoxonase 1 against vehicle control

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