Mammalian Transcription Factor Networks: Recent Advances in Interrogating Biological Complexity.

Mammalian Transcription Factor Networks: Recent Advances in Interrogating Biological Complexity.
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DOI:
10.1016/j.cels.2017.07.004
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发表时间:
2017-10-25
期刊:
影响因子:
9.3
通讯作者:
Göttgens B
Göttgens B
中科院分区:
生物学1区
文献类型:
--
作者:
Wilkinson AC;Nakauchi H;Göttgens B

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转录因子(TF)网络是哺乳动物发育和成体组织稳态中细胞命运决定的关键决定因素,并且经常在疾病中被破坏。然而,我们无法通过实验解决和询问哺乳动物TF网络的复杂性,阻碍了这一领域的进展。最近的技术进步,特别是大规模全基因组方法,单细胞方法,活细胞成像和基因组编辑,正在成为TF网络生物学中的重要技术。最近的几项研究甚至表明,需要重新评估哺乳动物TF网络的既定模型。在这里,我们提供了一个简短的概述,目前和新兴的方法来定义哺乳动物TF网络。我们还讨论了这些新兴技术如何促进新的方式来询问复杂的TF网络,考虑目前在该领域的开放问题,并评论潜在的未来方向和生物医学应用。
Transcription factor (TF) networks are a key determinant of cell fate decisions in mammalian development and adult tissue homeostasis, and are frequently corrupted in disease. However, our inability to experimentally resolve and interrogate the complexity of mammalian TF networks has hampered the progress in this field. Recent technological advances, in particular large-scale genome-wide approaches, single-cell methodologies, live-cell imaging, and genome editing, are emerging as important technologies in TF network biology. Several recent studies even suggest a need to re-evaluate established models of mammalian TF networks. Here, we provide a brief overview of current and emerging methods to define mammalian TF networks. We also discuss how these emerging technologies facilitate new ways to interrogate complex TF networks, consider the current open questions in the field, and comment on potential future directions and biomedical applications.
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