Institute for Systems Genetics and Cell Biology Department, NYU School of Medicine, New York, New York 10016, USA.
Cold Spring Harb Perspect Biol. 2021 Nov 1;13(11):a040949. doi: 10.1101/cshperspect.a040949.
To predict transcription, one needs a mechanistic understanding of how the numerous required transcription factors (TFs) explore the nuclear space to find their target genes, assemble, cooperate, and compete with one another. Advances in fluorescence microscopy have made it possible to visualize real-time TF dynamics in living cells, leading to two intriguing observations: first, most TFs contact chromatin only transiently; and second, TFs can assemble into clusters through their intrinsically disordered regions. These findings suggest that highly dynamic events and spatially structured nuclear microenvironments might play key roles in transcription regulation that are not yet fully understood. The emerging model is that while some promoters directly convert TF-binding events into on/off cycles of transcription, many others apply complex regulatory layers that ultimately lead to diverse phenotypic outputs. Cracking this kinetic code is an ongoing and challenging task that is made possible by combining innovative imaging approaches with biophysical models.
为了预测转录,我们需要深入了解众多必需的转录因子 (TFs) 如何在核空间中探索以找到其靶基因,以及它们如何组装、合作和相互竞争。荧光显微镜的进步使得在活细胞中可视化实时 TF 动力学成为可能,这导致了两个有趣的观察结果:首先,大多数 TFs 与染色质仅短暂接触;其次,TFs 可以通过其内在无序区域形成簇。这些发现表明,高度动态的事件和空间结构的核微环境可能在转录调控中发挥关键作用,但目前尚不完全清楚。新兴模型表明,虽然一些启动子直接将 TF 结合事件转化为转录的开/关循环,但许多其他启动子应用复杂的调控层,最终导致多种表型输出。破解这个动力学密码是一项正在进行的具有挑战性的任务,通过将创新的成像方法与生物物理模型相结合,可以实现这一目标。