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Mammalian Transcription Factor Networks: Recent Advances in Interrogating Biological Complexity

机译:哺乳动物转录因子网络:审讯生物复杂性的最新进展。

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摘要

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.
机译:转录因子(TF)网络是哺乳动物发育和成年组织稳态中细胞命运决定的关键决定因素,并且在疾病中经常被破坏。但是,我们无法通过实验方式解析和询问哺乳动物TF网络的复杂性,阻碍了该领域的进展。最近的技术进步,特别是大规模的全基因组方法,单细胞方法学,活细胞成像和基因组编辑,已成为TF网络生物学中的重要技术。近期的一些研究甚至表明需要重新评估哺乳动物TF网络的已建立模型。在此,我们简要概述了定义哺乳动物TF网络的当前和新兴方法。我们还将讨论这些新兴技术如何促进讯问复杂TF网络的新方法,考虑该领域当前存在的开放性问题,并对潜在的未来方向和生物医学应用发表评论。

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