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1.
J Am Heart Assoc ; 13(13): e033155, 2024 Jul 02.
Artigo em Inglês | MEDLINE | ID: mdl-38934864

RESUMO

BACKGROUND: Current protocols generate highly pure human induced pluripotent stem cell-derived cardiomyocytes (hiPSC-CMs) in vitro that recapitulate characteristics of mature in vivo cardiomyocytes. Yet, a risk of arrhythmias exists when hiPSC-CMs are injected into large animal models. Thus, understanding hiPSC-CM maturational mechanisms is crucial for clinical translation. Forkhead box (FOX) transcription factors regulate postnatal cardiomyocyte maturation through a balance between FOXO and FOXM1. We also previously demonstrated that p53 activation enhances hiPSC-CM maturation. Here, we investigate whether p53 activation modulates the FOXO/FOXM1 balance to promote hiPSC-CM maturation in 3-dimensional suspension culture. METHODS AND RESULTS: Three-dimensional cultures of hiPSC-CMs were treated with Nutlin-3a (p53 activator, 10 µM), LOM612 (FOXO relocator, 5 µM), AS1842856 (FOXO inhibitor, 1 µM), or RCM-1 (FOXM1 inhibitor, 1 µM), starting 2 days after onset of beating, with dimethyl sulfoxide (0.2% vehicle) as control. P53 activation promoted hiPSC-CM metabolic and electrophysiological maturation alongside FOXO upregulation and FOXM1 downregulation, in n=3 to 6 per group for all assays. FOXO inhibition significantly decreased expression of cardiac-specific markers such as TNNT2. In contrast, FOXO activation or FOXM1 inhibition promoted maturational characteristics such as increased contractility, oxygen consumption, and voltage peak maximum upstroke velocity, in n=3 to 6 per group for all assays. Further, by single-cell RNA sequencing of n=2 LOM612-treated cells compared with dimethyl sulfoxide, LOM612-mediated FOXO activation promoted expression of cardiac maturational pathways. CONCLUSIONS: We show that p53 activation promotes FOXO and suppresses FOXM1 during 3-dimensional hiPSC-CM maturation. These results expand our understanding of hiPSC-CM maturational mechanisms in a clinically-relevant 3-dimensional culture system.


Assuntos
Diferenciação Celular , Proteína Forkhead Box M1 , Células-Tronco Pluripotentes Induzidas , Miócitos Cardíacos , Proteína Supressora de Tumor p53 , Miócitos Cardíacos/metabolismo , Miócitos Cardíacos/efeitos dos fármacos , Proteína Forkhead Box M1/metabolismo , Proteína Forkhead Box M1/genética , Proteína Supressora de Tumor p53/metabolismo , Proteína Supressora de Tumor p53/genética , Humanos , Células-Tronco Pluripotentes Induzidas/metabolismo , Células-Tronco Pluripotentes Induzidas/efeitos dos fármacos , Técnicas de Cultura de Células em Três Dimensões/métodos , Células Cultivadas , Transdução de Sinais , Proteína Forkhead Box O1/metabolismo , Proteína Forkhead Box O1/genética
2.
Nat Commun ; 15(1): 2957, 2024 Apr 05.
Artigo em Inglês | MEDLINE | ID: mdl-38580646

RESUMO

Nonsense mutations - the underlying cause of approximately 11% of all genetic diseases - prematurely terminate protein synthesis by mutating a sense codon to a premature stop or termination codon (PTC). An emerging therapeutic strategy to suppress nonsense defects is to engineer sense-codon decoding tRNAs to readthrough and restore translation at PTCs. However, the readthrough efficiency of the engineered suppressor tRNAs (sup-tRNAs) largely varies in a tissue- and sequence context-dependent manner and has not yet yielded optimal clinical efficacy for many nonsense mutations. Here, we systematically analyze the suppression efficacy at various pathogenic nonsense mutations. We discover that the translation velocity of the sequence upstream of PTCs modulates the sup-tRNA readthrough efficacy. The PTCs most refractory to suppression are embedded in a sequence context translated with an abrupt reversal of the translation speed leading to ribosomal collisions. Moreover, modeling translation velocity using Ribo-seq data can accurately predict the suppression efficacy at PTCs. These results reveal previously unknown molecular signatures contributing to genotype-phenotype relationships and treatment-response heterogeneity, and provide the framework for the development of personalized tRNA-based gene therapies.


Assuntos
Códon sem Sentido , RNA de Transferência , Códon sem Sentido/genética , RNA de Transferência/genética , RNA de Transferência/metabolismo , Códon/genética , Ribossomos/metabolismo , Terapia Genética , Biossíntese de Proteínas/genética , Códon de Terminação
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