Decoding the Long Noncoding RNA during Cardiac Maturation: a Roadmap for Functional Discovery [lncRNA]
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ABSTRACT: 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: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:The molecular mechanisms of progressive right heart failure are incompletely understood. We systematically examined transcriptomic changes occurring over months in isolated cardiomyocytes or whole heart tissues from failing right and left ventricles in rat models of pulmonary artery (PAB) or aortic banding (AOB). Detailed bioinformatics analyses resulted in the identification of gene signatures, protein, and transcription factor networks specific to ventricles and compensated or decompensated disease states. Proteomic and RNA-FISH analyses confirmed PAB-mediated regulation of key genes (including proenkephalin) and revealed spatially heterogeneous mRNA expression in the heart. Intersection of rat PAB-specific gene sets with transcriptome data sets from human patients with chronic thromboembolic pulmonary hypertension led to the identification of more than 50 genes whose expression levels correlated with the severity of right heart disease, including multiple matrix-regulating and secreted factors. These data define a conserved, differentially regulated genetic network associated with right heart failure in rats and humans
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: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: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:Left and right heart ventricles of adult male mice were profiled to determine the differences in gene expression, control, coordination and signaling fabrics Two-sides (L= left, R = right) gene expression profiling experiment in adult mouse male (M) ventricles (V). 4 biological replicates: MVL1-4, MVR1-4.
Project description:The adult mammalian heart has little regenerative capacity after myocardial infarction (MI) while neonatal mouse heart regenerates without scarring or dysfunction. However, the underlying pathways are poorly defined. We sought to derive insights into the pathways regulating neonatal development of the mouse heart and cardiac regeneration post-MI. Total RNA-seq of mouse heart through the first 10 days of postnatal life (referred to as P3, P5, P10) revealed a previously unobserved transition in microRNA expression between P3 and P5 associated specifically with altered expression of protein-coding genes on the focal adhesion pathway and cessation of cardiomyocyte cell division. We found profound changes in the coding and non-coding transcriptome after neonatal MI, with evidence of essentially complete healing by P10. Over two thirds of each of the mRNAs, lncRNAs and microRNAs that were differentially expressed in the post-MI heart were differentially expressed during normal postnatal development, suggesting a common regulatory pathway for normal cardiac development and post-MI cardiac regeneration. We selected exemplars of miRNAs implicated in our data set as regulators of cardiomyocyte proliferation. Several of these showed evidence of a functional influence on mouse cardiomyocyte cell division. In addition, a subset of these microRNAs, miR-144-3p, miR-195a-5p, miR-451a and miR-6240 showed evidence of functional conservation in human cardiomyocytes. The sets of mRNAs, miRNAs and lncRNAs that we report here merit further investigation as gatekeepers of cell division in the postnatal heart and as targets for extension of the period of cardiac regeneration beyond the neonatal period.
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.