Project description:The goal of this study is to investigate how NAT10 regulates heart development in mice. mRNA profiles in hearts of Nat10flox/flox and cardiomyocyte-specific Nat10 knockout (Nat10-CKO) mice at 10 days old were generated by deep sequencing using Illumina novaseq x plus (n=3 for each group).
Project description:The goal of this study is to investigate whether RNA binding activity and acetyltransferase enzyme activity of NAT10 regulates heart development
Project description:Background: Heart failure (HF), characterized by cardiac remodeling, is associated with abnormal epigenetic processes and aberrant gene expression. Here, we aimed to elucidate the effects and mechanisms of N-acetyltransferase 10 (NAT10)-mediated N4?acetylcytidine (ac4C) acetylation during cardiac remodeling. Methods: NAT10 and ac4C expression were detected in both human and mouse subjects with cardiac remodeling through multiple assays. Subsequently, acetylated RNA immunoprecipitation and sequencing (acRIP-seq), thiol (SH)-linked alkylation for the metabolic sequencing of RNA (SLAM-seq), and ribosome sequencing (Ribo-seq) were employed to elucidate the role of ac4C-modified post-transcriptional regulation in cardiac remodeling. Additionally, functional experiments involving the overexpression or knockdown of NAT10 were conducted in mice models challenged with Ang II and transverse aortic constriction (TAC). Results: NAT10 expression and RNA ac4C levels were increased in in vitro and in vivo cardiac remodeling models, as well as in patients with cardiac hypertrophy. Silencing and inhibiting NAT10 attenuated Ang II-induced cardiomyocyte hypertrophy and cardio-fibroblast activation. Next-generation sequencing revealed ac4C changes in both mice and humans with cardiac hypertrophy were associated with changes in global mRNA abundance, stability and translation efficiency. Mechanistically, NAT10 could enhance the stability and translation efficiency of CD47 and ROCK2 transcripts by upregulating their mRNA ac4C modification, thereby resulting in an increase in their protein expression during cardiac remodeling. Furthermore, the administration of Remodelin, a NAT10 inhibitor, has been shown to prevent cardiac functional impairments in mice subjected to TAC by suppressing cardiac fibrosis, hypertrophy, and inflammatory responses, while also regulating the expression levels of CD47 and ROCK2. Conclusions: Therefore, our data suggest that modulating epitranscriptomic processes, such as ac4C acetylation through NAT10, may be a promising therapeutic target against cardiac remodeling.
Project description:In this experiment, we aim to examine the role of NAT10 inhibition in Hutchinson-Gilford progeria syndrome (HGPS), a rare but devastating premature ageing syndrome caused by a mutation in the LMNA gene. NAT10 inhibition improves HGPS cellular phenotypes by releasing Transportin-1 (TNPO1) from the cytoplasm, restoring the TNPO1 pathway and allowing hnRNPA1 and NUP153 nuclear import, TPR anchorage at the nuclear pore complexes and RanGTP gradient re-balancing. We have promoted NAT10 inhibition by two ways in normal or patient derived primary skin fibroblasts; the NAT10 inhibitor Remodelin, and an siRNA directly targeting NAT10 (siNAT10). In addition, we have also used an siRNA against TNPO1 and a combined siTNPO1 and siNAT10 treatment. This is a 2-factor design, with treatment (Remodelin vs untreated, or siNAT10 vs siCT) and condition (HGPS vs normal fibroblasts) as the two conditions. Transcriptional profiling was performed using HumanHT-12 v4 Expression BeadChip microarrays, and all conditions were run in triplicate.
Project description:To investigate the role of NAT10 in diabetic cardiomyopathy in response to exercise, 6-week-old NAT10 floxed mice were fed a high-fat diet (HFD) for 18 weeks followed by low doses of STZ injections, some of the mice were then injected with AAV9-cTnT-Cre to knockout NAT10 in cardiomyocytes. There mice were then subjected to either sedentary or eight weeks of treadmill exercise. We then performed gene expression profiling analysis using data obtained from RNA-seq from RNAs pulldown with an ac4C antibody.