Project description:To explore the key lncRNAs involved in regulating essential pathophysiological processes of the adult heart, we performed microarray-based transcriptome profiling on mouse hearts 3 days and 14 days after myocardial infarction (MI) or sham surgery. Microarray analysis revealed a total of 7,339 differentially expressed transcripts in MI 3 days hearts compared to sham controls (FC≥2, p<0.05). Kyoto Encyclopedia of Genes and Genomes (KEGG) or Gene Ontology (GO) pathway analyses revealed that oxidative phosphorylation, ECM-receptor interaction, cell proliferation, and inflammatory responses were among the top dysregulated genes in MI hearts. Interestingly, 209 lncRNAs are upregulated and 543 lncRNAs are downregulated in MI 3 days hearts (FC≥2, p<0.05). Among these lncRNA transcripts, we found that 8 lncRNAs are mostly upregulated and 6 lncRNAs mostly downregulated (FC≥2, p<0.05), whereas the expression level of the AK048087 transcript was increased by 25 fold and lncRNA AK034241 appears to be the most downregulated lncRNA.
Project description:microRNAs control cardiac remodeling post myocardial infarction, though the cellular and molecular mechanisms remain unclear. We used microarrays to examine microRNA profiles in mice hearts 21 days after ligation of left anterior descending coronary artery (LAD) versus sham control.
Project description:To test the mechanism by which IGF1 is cardioprotective, we performed single cell RNA sequencing on myeloid cells isolated from the heart 3 days after myocardial infarction of mice with and without IGF1 treatment. Myocardial infarction was induced in C57Bl6/J mice by 45 min occlusion of the left anterior descending artery followed by 3 days of reperfusion. Animals of the IGF1 group (n=3) received 40 ng/g mature recombinant IGF1 subcutaneously as bolus at the beginning of reperfusion. In addition, IGF1 (1 µg/g/d) was administered continuously during reperfusion using micro-osmotic pumps (Alzet, 1003D) that were implanted subcutaneously. Control mice received vehicle (0.1% BSA). After 3 days hearts were digested and CD45+CD11b+ cells were isolated using FACS cell sorting. Each sample contained cells containing 1 control and 1 IGF1 treated mouse, labeled with TotalSeq hashtags. 16000 cells were used as input for the single-cell droplet libraries generation for each sample.
Project description:Despite a substantial progress in diagnosis and therapy, acute myocardial infarction (MI) is a major cause of mortality in the general population. A novel insight into the pathophysiology of myocardial infarction obtained by studying gene expression should help to discover novel biomarkers of MI and to suggest novel strategies of therapy. The aim of our study was to establish gene expression patterns in leukocytes from acute myocardial infarction patients. ST-segment elevation myocardial infarction alters expression of several groups of genes. On admission, several genes and pathways that could be directly or indirectly linked with lipid/glucose metabolism, platelet function and atherosclerotic plaque stability were affected (signaling of PPAR, IL-10, IL-6). Analysis at discharge highlighted specific immune response (upregulation of immunoglobulins). Highly significant and substantial upregulation of SOCS3 and FAM20 genes expression in the first 4-6 days of myocardial infarction in all patients is the most robust observation of our work Twenty-eight patients with ST-segment elevation myocardial infarction (STEMI) were included. The blood was collected on the 1st day of myocardial infarction, after 4-6 days, and after 6 months. Control group comprised 14 patients with stable coronary artery disease (CAD), without history of myocardial infarction. Gene expression analysis was performed with Affymetrix GeneChipM-BM-. Human Gene 1.0 ST microarrays and GCS3000 TG system.
Project description:The aims of the experiment were to profile the cell types in the adult mouse cardiac interstitium (non-myocyte cells) and how they respond to myocardial infarction injury. Adult, male, Pdgfra +/GFP mice were subject to either a myocardial infarction or sham injury, with cells isolated from cardiac ventricles 3 or 7 days following surgery. We obtained scRNA-seq profiles of two cell fractions: total interstitial (non-myocyte) cell population (TIP) and FACS-sorted GFP+/Cd31- cells (GFP).
Project description:Affymetrix microarray analysis of molecular changes after myocardial infarction. Samples of heart tissue were analyzed after myocardial infarction from WT and reg3beta knock-out mice. Samples from scar tissue and samples adjacent to the scar were analyzed. In the experiment we primarily compared infarction zone of wild-type to infarction zone of knock-out animals, and remote zone of wild-type to remote zone of knock-outs.
Project description:Patients with acute myocardial infarction (a condition classified under coronary heart disease, including STEMI and NSTEMI) are at high risk for recurrent ischemic events, but the pathways and factors which contribute to this elevated risk are incompletely understood. This study aims to identify biomarkers associated with acute myocardial infarction through various omics strategies. For the identified biomarkers, we aim to demonstrate prognostic value, and predict/stratify the risks of adverse cardiovascular events (e.g., stroke, heart failure, death).
Project description:Background and Aims: It is known that inflammatory processes are activated in heart failure, but the regulation of cytokines and their role in the pathogenesis of the disease are not well understood. To address this issue, we have performed microarray analysis of non-infarcted left ventricular tissue from mice at various time-points after myocardial infarction. Methods: Molecular alterations in myocardial tissue were measured 3, 5, 7 and 14 days after induced infarction by using cDNA microarrays. Sham operated mice served as controls. Altered gene transcriptions were verified by real-time polymerase chain reaction. Attention focused on genes encoding cytokines which had not previously been assigned a role in heart failure development. Results: The highest number of regulated genes was found at day 5 post myocardial infarction, and 22 genes encoding cytokines were identified as being regulated. Several of the identified genes encoding cytokines have not previously been associated with HF, and among those fractalkine showed strongest up-regulation. Keywords: Disease state analysis, time course