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Dynamic changes of gene expression profiles during postnatal development of the heart in mice

机译:Dynamic changes of gene expression profiles during postnatal development of the heart in mice

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摘要

Objective: To study postnatal cardiac differentiation in the mouse. Hypothesis: There might be mechanisms or factors in cardiac differentiation that could be identified by systematic gene expression analysis during postnatal cardiac development. Methods: Expression of 6144 genes was examined in mouse heart, from the newborn period (day 0), through day 7 and day 14 day, to adulthood, using the cDNA microarray approach. Northern blotting and immunohistochemical techniques were used to confirm the microarray results. Results: Various cardiac development related genes involving the cell cycle (cyclin B1, proliferating cell nuclear antigen (PCNA), and Ki67), growth factors (IGF-II, pleiotrophin (PTN), and midkine (MK)), and transcriptional regulation, cytoskeleton, and detoxification enzymes were identified by microarray analysis. Some of these genes were also confirmed by Northern blotting and immunohistochemistry of their RNA and protein content. In vivo treatment with PTN (20 ng/g) increased bromodeoxyuridine incorporation (by 2.24-fold) and PCNA expression (by 1.71-fold) during day 7 to day 14, indicating that PTN induces cell proliferation in mouse heart. Conclusions: Global gene expression analysis in the whole heart may be useful in understanding the orchestrated process of postnatal development or terminal differentiation in the cardiac environment. These data are likely to be helpful in studying developmental anomalies of the heart in neonates.
机译:目的:研究小鼠的产后心脏分化。假设:产后心脏发育过程中可能通过系统的基因表达分析确定心脏分​​化的机制或因素。方法:使用cDNA微阵列方法,从新生期(第0天)至第7天和第14天,直至成年,在小鼠心脏中检测6144个基因的表达。使用RNA印迹和免疫组织化学技术来证实微阵列结果。结果:各种与心脏发育相关的基因,涉及细胞周期(cyclin B1,增殖性细胞核抗原(PCNA)和Ki67),生长因子(IGF-II,多卵磷脂(PTN)和中期因子(MK))以及转录调控,通过微阵列分析鉴定细胞骨架和解毒酶。这些基因中的一些还通过RNA印迹和其RNA和蛋白质含量的免疫组织化学证实。在第7天至第14天,用PTN(20 ng / g)进行体内处理可增加溴脱氧尿苷掺入(2.24倍)和PCNA表达(1.71倍),表明PTN诱导小鼠心脏细胞增殖。结论:整个心脏的整体基因表达分析可能有助于了解心脏环境中出生后发育或终末分化的协调过程。这些数据可能有助于研究新生儿心脏的发育异常。

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