Project description:Cardiac maturation during perinatal transition of heart is critical for functional adaptation to hemodynamic load and nutrient environment. Perturbation in this process has major implications in congenital heart defects (CHDs). Transcriptome programming during perinatal stages is important information but incomplete in current literature, particularly, the expression profiles of the long noncoding RNAs (lncRNAs) are not fully elucidated From comprehensive analysis of transcriptomes derived from neonatal mouse heart left and right ventricles, a total of 45,167 unique transcripts were identified, including 21,916 known and 2,033 novel lncRNAs. Among these lncRNAs, 196 exhibited significant dynamic regulation along maturation process. By implementing parallel weighted gene co-expression network analysis (WGCNA) of mRNA and lncRNA datasets, several lncRNA modules coordinately expressed in a developmental manner similar to protein coding genes, while a few of them revealed chamber specific patterns. Out of 2,442 lncRNAs located within 50 KBs of protein coding genes, 11% significantly correlates with the expression of their neighboring genes. The impact of Ppp1r1b-lncRNA on the corresponding partner gene Tcap was validated in cultured myoblasts. While this concordant regulation was also conserved in human infantile hearts. Furthermore, the Ppp1r1b-lncRNA/Tcap expression ratio was identified as a molecular signature that differentiated CHD phenotypes lncRNA dataset: neonatal mouse heart left and right ventricles
Project description:Cardiac maturation during perinatal transition of heart is critical for functional adaptation to hemodynamic load and nutrient environment. Perturbation in this process has major implications in congenital heart defects (CHDs). Transcriptome programming during perinatal stages is important information but incomplete in current literature, particularly, the expression profiles of the long noncoding RNAs (lncRNAs) are not fully elucidated From comprehensive analysis of transcriptomes derived from neonatal mouse heart left and right ventricles, a total of 45,167 unique transcripts were identified, including 21,916 known and 2,033 novel lncRNAs. Among these lncRNAs, 196 exhibited significant dynamic regulation along maturation process. By implementing parallel weighted gene co-expression network analysis (WGCNA) of mRNA and lncRNA datasets, several lncRNA modules coordinately expressed in a developmental manner similar to protein coding genes, while a few of them revealed chamber specific patterns. Out of 2,442 lncRNAs located within 50 KBs of protein coding genes, 11% significantly correlates with the expression of their neighboring genes. The impact of Ppp1r1b-lncRNA on the corresponding partner gene Tcap was validated in cultured myoblasts. While this concordant regulation was also conserved in human infantile hearts. Furthermore, the Ppp1r1b-lncRNA/Tcap expression ratio was identified as a molecular signature that differentiated CHD phenotypes RNA dataset: neonatal mouse heart left and right ventricles
Project description:Cigarette smoke (CS) is the major risk factor for COPD and is linked to cardiopulmonary dysfunction. Exercise training, as part of pulmonary rehabilitation, is recommended for all COPD patients. It has several physiological benefits, but the involved mechanisms remain poorly defined. Here, we employed transcriptomic profiling and examined lung endothelium to investigate novel interactions between exercise and CS on cardiopulmonary alterations. Mice were exposed to 20 weeks of CS, CS + 6 weeks of high-intensity interval training on a treadmill or control. Lung and cardiac (left and right ventricle) tissue were harvested, and RNA-sequencing was performed and validated with RT-qPCR. Immunohistochemistry assessed pulmonary arteriolar changes. Transcriptome analysis between groups revealed 37 significantly regulated genes in the lung, 21 genes in the left ventricle, and 43 genes in the right ventricle (likelihood-ratio test). Validated genes that showed an interaction between exercise and CS included angiotensinogen (p=0.002) and resistin-like alpha (p=0.019) in left ventricle, with prostacyclin synthetase different in pulmonary arterioles (p=0.004). Transcriptomic profiling revealed changes in pulmonary and cardiac tissue following exposure to CS, with exercise training exerting rescue effects. Exercise-regulated genes included angiotensinogen and resistin-like alpha. However, it remains unclear if these represent potential candidate genes or biomarkers involved during pulmonary rehabilitation.
Project description:Background: Right ventricular (RV) and left ventricular (LV) myocardium differ in their response to pressure-overload hypertrophy (POH). In this report we use microarray and proteomic analyses to identify pathways modulated by LV-, and RV-POH in the immature heart. Methods: Newborn New Zealand White rabbits underwent banding of the descending thoracic aorta (LV-POH; n=6). RV-POH was achieved by banding the pulmonary artery (n=6). Sham–control animals (SC; n=6 each) were sham-manipulated. Following 4 (LV-POH) and 6 weeks (RV-POH) recovery, the hearts were removed and matched sample RNA and proteins were isolated for microarray and proteomic analysis. Results: There was no difference in body weight in RV-, LV-POH vs. SC but there was a significant increase vs. SC in RV (3.2±0.8g vs. 1.2±0.3g; P<0.01) and LV weight (7.08±0.6g vs. 4.02±0.2g; P<0.01). Fractional area change (RV-POH) and shortening fraction (LV-POH) decreased significantly (23±6 vs. 47±6 and 21±4 vs.44±2, respectively, P<0.01). Microarray analysis demonstrated that LV-POH enriched pathways for oxidative phosphorylation, mitochondria energy pathways, actin, ILK, hypoxia, calcium and protein kinase-A signalling. RV-POH enriched pathways for cardiac oxidative phosphorylation. Proteomic analysis revealed 19 proteins were uniquely expressed in LV-POH vs. SC. Functional annotation clustering analysis indicated significant enrichment for the mitochondrion, cellular macromolecular complex assembly and oxidative phosphorylation. RV-POH had 15 uniquely expressed proteins vs. SC. Functional annotation clustering analysis indicated significant enrichment in structural constituents of muscle, cardiac muscle tissue development and calcium handling. Conclusion: Our results identify unique transcript and protein expression profiles in LV, RV-POH and provide new insight into the biological basis of ventricular specific hypertrophy. 3 different conditions: PAB-RV vs. Sham-control RV, PAB-RV [test] vs. PAB-LV [control], AOB-LV vs. Sham-control LV.
Project description:The right ventricle (RV) differs in several aspects from the left ventricle (LV) including its embryonic origin, physiological role and anatomical design. In contrast to LV hypertrophy, little is known about the molecular circuits, which are activated upon RV hypertrophy (RVH). We established a highly reproducible model of RVH in mice using pulmonary artery clipping (PAC), which avoids detrimental RV pressure overload and thus allows long-term survival of operated mice. Magnetic resonance imaging revealed pathognomonic changes with striking similarities to human congenital heart disease- or pulmonary arterial hypertension- patients. Comparative, microarray based transcriptome analysis of right- and left-ventricular remodeling identified distinct transcriptional responses to pressure-induced hypertrophy of either ventricle, which were mainly characterized by stronger transcriptional responses of the RV compared to the LV myocardium. Hierarchic cluster analysis revealed a RV- and LV-specific pattern of gene activity after induction of hypertrophy, however, we did not find evidence for qualitatively distinct regulatory pathways in RV compared to LV. Data mining of nearly three thousand RV-enriched genes under PAC disclosed novel potential (co)-regulators of long-term RV remodeling and hypertrophy. We reason that specific inhibitory mechanisms in RV restrict excessive myocardial hypertrophy and thereby contribute to its vulnerability to pressure overload. Alternative splicing and gene expression analysis during development of the heart and cardiomyoyte differentiation.
Project description:We analyzed time dependent global proteomic adaptations during heart failure (HF) progression in a mouse model, suffering from left ventricular pressure overload due to transverse aortic constriction (TAC), to gain deeper insights in the disease development and identify new biomarker candidates. The hearts from TAC and sham mice were examined by cardiac MRI on either day 4, 14, 21, 28, 42, and 56 after surgery (n=6 group/time point). At each time point, proteomes of the left (LV) and right ventricles (RV) of TAC and sham mice were analyzed by mass spectrometry (MS).
Project description:Affymetrix GeneChip Exon-1.0ST was used to study the differential gene profiles in RV (right ventricle) samples from neonates with HLHS (hypoplastic left heart syndrome) versus RV and LV (left ventricle) samples obtained from age-matched controls. Although few significant changes were observed in the genetic profiles between control LV and control RV, many genes passed the false discovery rate in comparing HLHS-RV to RV and LV control groups, with greater differential profiles noted between HLHS-RV and control RV. Myocardial samples were isolated from the RV of 6 HLHS neonates, diagnosed based upon clinical features including hypoplasia/atresia of the ascending aorta, various degrees of underdevelopment of the aortic valve, mitral valve, and LV cavity, and retrograde flow in the aortic arch as determined by conventional 2-D echocardiography. The mean gestational age at birth of all subjects was 38 weeks (range 36-39) and the mean body weight at surgery of 2.7 kg (range 2.1-3.4 kg) (3 males, 3 females). All subjects were undergoing stage 1 Norwood reconstruction. Children with HLHS and other complex cardiac anomalies entailing non-HLHS single ventricle circulation were excluded from our study. For control samples, RV and LV myocardial tissue was obtained from 5 newborns aged between 1-28 days (mean 18 days; 3 males and 2 females) with normal cardiac anatomy and expired from non-cardiac diseases processes.
Project description:The hypothesis was tested that the Pbx1-d isoform was responsible for the Sle1a.1 phenotypes in CD4+ T cells. Jurkat T cells were transfected with a lentiviral construct expressing Pbx1-d-GFP or control RFP. Pbx1-d over-expression reduced the percentage of late apoptotic cells in response to anti-CD3 and anti-CD28 stimulation as compared with control-Lin28-transfected cells. Overall, these data demonstrate that over-expression of Pbx1-d results in an activated/inflammatory phenotype and in a defective response to RA in Jurkat T cells, strongly suggesting that the increased expression of Pbx1-d is responsible for the Sle1a.1 phenotypes. Jurkat T cells (5 x 105 cells/ml) were transfected with an lentiviral (LV) vector expressing either control (RFP or Lin28) or Pbx1-d-GFP. Total RNA was extracted from GFP+ or RFP+ FACS-sorted Jurkat T cells transfected LV-GFP-Pbx1-d or LV-RFP, as well as non-transfected cells in 4 independent transfections per group.
Project description:We created a fetal lamb model of hypoplastic left heart syndrome (HLHS), by implanting coils in the left atrium in mid-gestation. We performed bulk RNA sequencing of left ventricles (LV), right ventricles (RV), ascending aortae (AAo) and pulmonary arteries (PA). Single nucleus RNA sequencing was performed on LV free wall tissue (n = 4 coiled samples, n = 3 controls).
Project description:Histone modifications are epigenetic marks that play fundamental roles in many biological processes including the control of chromatin-mediated regulation of gene expression. To begin to understand the impact of natural variation on histone methylation levels we generated and quantified large-scale genome-wide ChIP-seq data in a panel of rat recombinant inbred strains and their parental progenitors. Linkage analysis identified hundreds of cis- and trans-acting loci responsible for quantitative differences in histone trimethyl-lysine levels in left ventricular heart and liver tissues. We assessed the association of histone methylation and gene expression levels by generating deep RNA-seq profiles across the segregating population. Among the main findings, causal modelling of DNA variation together with histone methylation and gene expression levels enhanced the prediction of gene expression traits (eQTLs) by ~20%. Moreover, allele specific differences of histone trimethyl-lysine levels at alternative promoters were associated with differential usage of transcriptional start sites. Our data suggest that genetic variation has widespread impact on histone modifications. The highly adapted interplay between DNA variation and chromatin structure has consequences on gene and isoform expression as direct functional outcome and demonstrated new avenues to find novel genotype Ð phenotype relationships. NOTE: Additional processed data files were added to this experiment on the 24th April 2014. They are in the zip archive E-MTAB-1102.additional.1.zip which is available under the 'Click to browse all available files' link.