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Transcriptional Dynamics During Human Adipogenesis and Its Link to Adipose Morphology and Distribution

机译:脂肪形成过程中的转录动力学及其与脂肪形态和分布的联系

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摘要

White adipose tissue (WAT) can develop into several phenotypes with different pathophysiological impact on type 2 diabetes. To better understand the adipogenic process, the transcriptional events that occur during in vitro differentiation of human adipocytes were investigated and the findings linked to WAT phenotypes. Single-molecule transcriptional profiling provided a detailed map of the expressional changes of genes, enhancers, and long noncoding RNAs, where different types of transcripts share common dynamics during differentiation. Common signatures include early downregulated, transient, and late induced transcripts, all of which are linked to distinct developmental processes during adipogenesis. Enhancers expressed during adipogenesis overlap significantly with genetic variants associated with WAT distribution. Transiently expressed and late induced genes are associated with hypertrophic WAT (few but large fat cells), a phenotype closely linked to insulin resistance and type 2 diabetes. Transcription factors that are expressed early or transiently affect differentiation and adipocyte function and are controlled by several well-known upstream regulators such as glucocorticosteroids, insulin, cAMP, and thyroid hormones. Taken together, our results suggest a complex but highly coordinated regulation of adipogenesis.
机译:白色脂肪组织(WAT)可以发展为对2型糖尿病具有不同病理生理影响的几种表型。为了更好地了解脂肪形成过程,研究了人类脂肪细胞体外分化过程中发生的转录事件,并将发现与WAT表型相关联。单分子转录谱提供了基因,增强子和长非编码RNA表达变化的详细图谱,其中不同类型的转录本在分化过程中具有共同的动力学。常见的特征包括早期下调,短暂和晚期诱导的转录本,所有这些都与脂肪生成过程中不同的发育过程有关。在脂肪形成过程中表达的增强子与WAT分布相关的遗传变异显着重叠。瞬时表达和晚期诱导基因与肥大性WAT(少数但大的脂肪细胞)相关,该表型与胰岛素抵抗和2型糖尿病密切相关。早期或短暂表达的转录因子会影响分化和脂肪细胞功能,并受几种众所周知的上游调节剂如糖皮质激素,胰岛素,cAMP和甲状腺激素的控制。两者合计,我们的结果表明脂肪形成的复杂但高度协调的监管。

著录项

  • 来源
    《Diabetes》 |2017年第1期|218-230|共13页
  • 作者单位

    Department of Medicine, Huddinge, Karolinska Institutet Stockholm, Sweden;

    Department of Medicine, Huddinge, Karolinska Institutet Stockholm, Sweden;

    Department of Medicine, Huddinge, Karolinska Institutet Stockholm, Sweden;

    The Bioinformatics Centre, Department of Biology, and Biotech Research & Innovation Centre, University of Copenhagen, Copenhagen, Denmark;

    Department of Medicine, Huddinge, Karolinska Institutet Stockholm, Sweden;

    Department of Medicine, Huddinge, Karolinska Institutet Stockholm, Sweden;

    Division of Genomic Technologies, RIKEN Center for Life Science Technologies, Tsurumi, Yokohama, Kanagawa, Japan,RIKEN Omics Science Center, Tsurumi, Yokohama, Kanagawa, Japan,RIKEN Preventive Medicine & Diagnosis Innovation Program, Wako, Saitama, Japan;

    Division of Genomic Technologies, RIKEN Center for Life Science Technologies, Tsurumi, Yokohama, Kanagawa, Japan,RIKEN Omics Science Center, Tsurumi, Yokohama, Kanagawa, Japan,RIKEN Preventive Medicine & Diagnosis Innovation Program, Wako, Saitama, Japan;

    Division of Genomic Technologies, RIKEN Center for Life Science Technologies, Tsurumi, Yokohama, Kanagawa, Japan,RIKEN Omics Science Center, Tsurumi, Yokohama, Kanagawa, Japan,Telethon Kids Institute and The University of Western Australia, Perth, Western Australia, Australia;

    Division of Genomic Technologies, RIKEN Center for Life Science Technologies, Tsurumi, Yokohama, Kanagawa, Japan,Department of Biosciences and Nutrition and Science for Life Laboratory, Karolinska Institutet, Stockholm, Sweden;

    Division of Genomic Technologies, RIKEN Center for Life Science Technologies, Tsurumi, Yokohama, Kanagawa, Japan,RIKEN Omics Science Center, Tsurumi, Yokohama, Kanagawa, Japan;

    Division of Genomic Technologies, RIKEN Center for Life Science Technologies, Tsurumi, Yokohama, Kanagawa, Japan,RIKEN Omics Science Center, Tsurumi, Yokohama, Kanagawa, Japan;

    RIKEN Omics Science Center, Tsurumi, Yokohama, Kanagawa, Japan,RIKEN Preventive Medicine & Diagnosis Innovation Program, Wako, Saitama, Japan;

    The Bioinformatics Centre, Department of Biology, and Biotech Research & Innovation Centre, University of Copenhagen, Copenhagen, Denmark;

    Molecular Epidemiology, Department of Medical Sciences, and Science for Life Laboratory, Uppsala University, Uppsala, Sweden,Division of Cardiovascular Medicine, Department of Medicine, Stanford University School of Medicine, Stanford, CA;

    Department of Medicine, Huddinge, Karolinska Institutet Stockholm, Sweden;

    Department of Medicine, Huddinge, Karolinska Institutet Stockholm, Sweden;

    Department of Medicine, Huddinge, Karolinska Institutet Stockholm, Sweden;

    Department of Medicine, Huddinge, Karolinska Institutet Stockholm, Sweden,Division of Genomic Technologies, RIKEN Center for Life Science Technologies, Tsurumi, Yokohama, Kanagawa, Japan,RIKEN Omics Science Center, Tsurumi, Yokohama, Kanagawa, Japan;

  • 收录信息 美国《科学引文索引》(SCI);美国《化学文摘》(CA);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

  • 入库时间 2022-08-18 03:46:06

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