Chronic perinatal hypoxia delays cardiac maturation in a mouse model for cyanotic congenital heart disease
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PROVIDER: PRJNA715727 | ENA |
REPOSITORIES: ENA
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Project description:Exclusion of Parkin from mitochondria of perinatal cardiomyocytes interrupts structural and molecular transformations essential to normal perinatal-adult mitochondrial replacement. mRNA-sequencing from cardiac total RNA was performed at P1, P21 and 5-week stages of nontransgenic (ntg) and human-Mfn2-overexpressing (Mfn2wt) hearts, and also of tet-off control (tetoff) and human-Mfn2 T111A/S442A-overexpressing (Mfn2AA) hearts. Libraries from all P1 samples were prepared and analyzed together, and similarly all P21 libraries, and all 5-week libraries together. To facilitate comparison across time points by accounting for batch effect, new libraries were prepared starting from total RNA from selected P21 ntg and 5-week ntg hearts subjected to prior analysis, during the same batch preparation as all P1 samples, and analyzed together. Correction for differences observed between libraries prepared from the same total RNA, but at different times, allows comparison across timepoints.
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Project description:Exclusion of Parkin from mitochondria of perinatal cardiomyocytes interrupts structural and molecular transformations essential to normal perinatal-adult mitochondrial replacement. mRNA-sequencing from cardiac total RNA was performed at P1, P21 and 5-week stages of nontransgenic (ntg) and human-Mfn2-overexpressing (Mfn2wt) hearts, and also of tet-off control (tetoff) and human-Mfn2 T111A/S442A-overexpressing (Mfn2AA) hearts.
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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
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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
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Project description:The heart undergoes significant structural, metabolic, gene expression and functional alterations during the perinatal to postnatal transition. While recent studies have identified multiple epigenetic and transcriptional regulators of cardiac maturation, post-transcriptional mechanisms regulating this process remain poorly understood. Neddylation is a post-translational modification that conjugates a small ubiquitin-like protein, NEDD8, to protein substrates via an E1-E2-E3 enzymatic cascade. The goal of this study was to define the role of neddylation in perinatal cardiac development and cardiac maturation. Neddylation was inhibited in adult mouse hearts by cardiac-specific deletion of NAE1 gene, a regulatory subunit of NEDD8 E1 enzyme, or in neonatal cardiomyocytes (CMs) with a pharmacological neddylation inhibitor, MLN4924. The impact on cardiac transcriptome, metabolism, maturation and function was assessed. Mosaic deletion of NAE1 in ~40% neonatal CMs disrupted aspects of maturation, including transverse-tubule formation, cellular hypertrophy and fetal/adult isoform switching, whereas deletion of NAE1 in over 80% CMs led to rapid development of cardiomyopathy and heart failure. Transcriptome analysis demonstrated an association of metabolic derangement with immature cardiomyocyte signature. Biochemical, ultrastructural and metabolomics analyses confirmed downregulation of fatty acid and oxidative phosphorylation genes, deficits in fatty acid utilization, mitochondrial dysfunction, and significantly altered metabolic profiles in NAE1-deficient hearts or MLN4924-treated neonatal CMs. Mechanistically, we found that HIF1α, a transcription factor known to promote glycolysis and suppress oxidative metabolism, is a putative NEDD8 target. Inhibition of neddylation resulted in HIF1α accumulation and activation, which contributed to diminished fatty acid utilization. Taken together, we conclude that neddylation plays a crucial role in CM maturation and postnatal cardiac development through sustaining the glycolytic to oxidative metabolic switch in perinatal hearts.
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Project description:To date, there have been limited high quality libraries of cardiomyocyte maturation during the perinatal period, in part owing to the difficulty of isolating large perinatal cardiomyocytes. We previously developed a method utilizing large-particle fluorescent activated cell sorting (LP-FACS) to isolate adult cardiomyocytes for single cell RNA-seq (Kannan et al., Circ Res, 2019). We utilize this method to generate a reference of perinatal cardiomyocyte maturation.
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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
2016-08-20 | E-GEOD-85726 | biostudies-arrayexpress
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
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