1990
DOI: 10.1128/mcb.10.7.3709-3716.1990
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The c-myc Proto-Oncogene Regulates Cardiac Development in Transgenic Mice

Abstract: During the maturation of the cardiac myocyte, a transition occurs from hyperplastic to hypertrophic growth. The factors that control this transition in the developing heart are unknown. Proto-oncogenes such as c-myc have been implicated in the regulation of cellular proliferation and differentiation, and in the heart the switch from myocyte proliferation to terminal differentiation is synchronous with a decrease in c-myc mRNA abundance. To determine whether c-myc can influence myocyte proliferation or differen… Show more

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Cited by 10 publications
(6 citation statements)
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“…However, mammalian cardiomyocyte proliferation has been induced by the expression of the SV40 large T antigen (T-ag) oncoprotein, as shown in transgenic mice (7)(8)(9), cultured neonatal rat cardiomyocytes (10,11) and human fetal cardiomyocytes (12). In transgenic mice, cardiomyocyte proliferation was also induced by the expression of c-MYC (13), calmodulin (14) and insulin-like growth factor-1 (15). These examples of induced cardiomyocyte proliferation support the possibility of stimulating cardiac myocyte proliferation in vivo subsequent to cardiac trauma as a means of replacing lost functional cardiac tissue.…”
Section: Introductionmentioning
confidence: 99%
“…However, mammalian cardiomyocyte proliferation has been induced by the expression of the SV40 large T antigen (T-ag) oncoprotein, as shown in transgenic mice (7)(8)(9), cultured neonatal rat cardiomyocytes (10,11) and human fetal cardiomyocytes (12). In transgenic mice, cardiomyocyte proliferation was also induced by the expression of c-MYC (13), calmodulin (14) and insulin-like growth factor-1 (15). These examples of induced cardiomyocyte proliferation support the possibility of stimulating cardiac myocyte proliferation in vivo subsequent to cardiac trauma as a means of replacing lost functional cardiac tissue.…”
Section: Introductionmentioning
confidence: 99%
“…In an attempt to unravel the myriad of possibilities that control the conversion from fetal hyperplastic growth to post-natal hypertrophically growing CMs that no longer are able to divide, many experimental studies have been published. Experimental interventions include genetically altered animals [ 92 , 93 , 94 , 95 ], fetal or early neonatal hypoxia [ 96 , 97 , 98 , 99 , 100 ], anemia [ 101 , 102 ], manipulations of metabolic or growth regulators [ 103 , 104 , 105 , 106 ], pressure, and volume overloads [ 107 , 108 ], and others. In general, experimental interventions during fetal or early neonatal growth tend to accelerate hyperplasia and alter the onset of hypertrophic growth.…”
Section: Conversion From Fetal To Neonatal Cardiomyocyte Growthmentioning
confidence: 99%
“…In a transgenic mouse with overexpression of the c-myc oncogene, the transgenic mice underwent one additional CM division during the fetal period. The transgenic mice had a 50–100% increase in P1 heart weight because of twice the number of CMs with little change in body weight compared to wild-type littermates [ 92 , 93 , 94 ]. In addition to the doubling of CM number during the fetal period, conversion to hypertrophic growth and binucleation began at P3 in the transgenic mice vs. P7 in the wild-type littermates, suggesting that the number of myocyte divisions may have some intrinsic control.…”
Section: Conversion From Fetal To Neonatal Cardiomyocyte Growthmentioning
confidence: 99%
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“…The second principal component separates between the 6-hour and 24-hour samples, including the control samples, suggesting a potential adaptation to culture conditions. A gene enrichment analysis for the top 100 genes in the second principal component identifies Myc targets as uniquely enriched, where consistent decreased expression of the Myc pathways is consistent with a transition from the fetal gene program (Jackson et al, 1990) and increased expression consistent with a response to cardiomyocyte stress (Lee et al, 2009;Ahuja et al, 2010).…”
Section: Unsupervised Machine Learning Of Transcriptomics and Metabolomics Data Highlights Underlying Drug-induced Shifts In Cellular Actmentioning
confidence: 99%