Project description:This SuperSeries is composed of the following subset Series: GSE10652: Divergent genome expression profiles during hepatic ischemia in young and adult mice GSE10654: Age-dependent gene expression profiles after hepatic ischemia/reperfusion in mice Keywords: SuperSeries Refer to individual Series
Project description:To examine the age-related vulnerability to lung ischemia reperfusion injury, pulmonary gene expression profiles after lung ischemia reperfusion were compared between young and old mice.
Project description:Hepatic ischemia-reperfusion IR (HIR) is an unavoidable pathophysiological process during liver transplantation, resulting in systematic sterile inflammation and remote organ injury. Acute lung injury (ALI) is a serious complication after liver transplantation with high postoperative morbidity and mortality. However, the underlying mechanism is still unclear. To assess the phenotype and plasticity of various cell types in the lung tissue microenvironment after HIR at the single-cell level, single-cell RNA sequencing (scRNA-seq) was performed using the lungs from HIR-induced mice.
2024-06-30 | GSE235367 | GEO
Project description:Lung tissue sequencing after hepatic ischemia-reperfusion in mouse
Project description:Hepatic ischemia reperfusion injury is a dynamic process consisting of two stages: ischemia and reperfusion, and triggers a cascade of physiological and biochemical events. Given the important role of microRNAs in regulating gene expression, we analyzed gene expression changes in mouse livers at sham control, ischemia stage, and reperfusion stage. We generated global expression profiles of microRNA and mRNA genes in mouse livers subjected to ischemia reperfusion injury at the three stages, respectively. Comparison analysis showed that reperfusion injury had a distinct expression profile whereas the ischemia sample and the sham control were clustered together. Consistently, there are 69 differentially expressed microRNAs between the reperfusion sample and the sham control whereas 28 differentially expressed microRNAs between the ischemia sample and the sham control. We further identified two modes of microRNA expression changes in ischemia reperfusion injury. Functional analysis of both the differentially expressed microRNAs in the two modes and their target mRNAs revealed that ischemia injury impaired mitochondria function, nutrient consumption, and metabolism process. In contrast, reperfusion injury led to severe tissue inflammation that is predominantly an innate-immune response in the ischemia reperfusion process. Our staged analysis of gene expression profiles provides new insights into regulatory mechanisms of microRNAs in mouse hepatic ischemia reperfusion injury.
Project description:Hepatic ischemia reperfusion injury is a dynamic process consisting of two stages: ischemia and reperfusion, and triggers a cascade of physiological and biochemical events. Given the important role of microRNAs in regulating gene expression, we analyzed gene expression changes in mouse livers at sham control, ischemia stage, and reperfusion stage. We generated global expression profiles of microRNA and mRNA genes in mouse livers subjected to ischemia reperfusion injury at the three stages, respectively. Comparison analysis showed that reperfusion injury had a distinct expression profile whereas the ischemia sample and the sham control were clustered together. Consistently, there are 69 differentially expressed microRNAs between the reperfusion sample and the sham control whereas 28 differentially expressed microRNAs between the ischemia sample and the sham control. We further identified two modes of microRNA expression changes in ischemia reperfusion injury. Functional analysis of both the differentially expressed microRNAs in the two modes and their target mRNAs revealed that ischemia injury impaired mitochondria function, nutrient consumption, and metabolism process. In contrast, reperfusion injury led to severe tissue inflammation that is predominantly an innate-immune response in the ischemia reperfusion process. Our staged analysis of gene expression profiles provides new insights into regulatory mechanisms of microRNAs in mouse hepatic ischemia reperfusion injury.
Project description:Lung tissue samples from mice in lung ischemia-reperfusion injury (LIRI) group (ischemia for 1 hour and reperfusion for 6 hours) and sham groups were used for quantitative proteomics analysis.
Project description:Experimental Design: 1. The goal of the experiment: Age-Related Genome Expression Profiles During Hepatic Ischemia 2. Brief description of the experiment: Hepatic ischemia/reperfusion (I/R) injury is a complication of liver surgery, transplantation and shock and differs with age. In the present study, we sought to determine if the age-dependent response to I/R injury was related to differential gene expression during the ischemic period. Total RNA of young (4-5 weeks) and adult (12-14 months) mice undergoing sham surgery or partial hepatic ischemia for 30, 60, or 90 minutes was analyzed by Affymetrix microarray. Gene expression was filtered based on a change in expression of 1.5-fold relative to respective controls and then analyzed by ANOVA. Significant differences in gene expression were observed between age groups. In young mice, 169 genes were down-regulated, whereas adult mice had 1167 genes down-regulated. Of these, only 28 genes were down-regulated in both young and adult mice. Far fewer genes had increased expression during ischemia. Sixty genes in young mice and 51 genes in adult mice were up-regulated. Of those, none were up-regulated in both young and adult mice. There were no distinct functional patterns of gene regulation in either age group. The data demonstrate significant and widespread changes in hepatic gene expression during the ischemic period that may be important to the age-dependent response to I/R injury. Keywords: treated vs non treated 2 age groups of 12 young and 12 adult mice that underwent either 30, 60 or 90 minutes of partial ischemia (n=3) or sham operation (n=3) We used microarray to uncover the genomic response during different time points of ischemia