Institut Pasteur, Computational Imaging and Modeling Unit, CNRS , Paris , France .
Crit Rev Biochem Mol Biol. 2013 Sep-Oct;48(5):492-514. doi: 10.3109/10409238.2013.833891. Epub 2013 Sep 11.
Transcription factors (TFs) interact dynamically in vivo with chromatin binding sites. Here we summarize and compare the four different techniques that are currently used to measure these kinetics in live cells, namely fluorescence recovery after photobleaching (FRAP), fluorescence correlation spectroscopy (FCS), single molecule tracking (SMT) and competition ChIP (CC). We highlight the principles underlying each of these approaches as well as their advantages and disadvantages. A comparison of data from each of these techniques raises an important question: do measured transcription kinetics reflect biologically functional interactions at specific sites (i.e. working TFs) or do they reflect non-specific interactions (i.e. playing TFs)? To help resolve this dilemma we discuss five key unresolved biological questions related to the functionality of transient and prolonged binding events at both specific promoter response elements as well as non-specific sites. In support of functionality, we review data suggesting that TF residence times are tightly regulated, and that this regulation modulates transcriptional output at single genes. We argue that in addition to this site-specific regulatory role, TF residence times also determine the fraction of promoter targets occupied within a cell thereby impacting the functional status of cellular gene networks. Thus, TF residence times are key parameters that could influence transcription in multiple ways.
转录因子(TFs)在体内与染色质结合位点动态相互作用。在这里,我们总结并比较了目前用于测量活细胞中这些动力学的四种不同技术,即光漂白荧光恢复(FRAP)、荧光相关光谱(FCS)、单分子跟踪(SMT)和竞争 ChIP(CC)。我们强调了这些方法各自的原理以及它们的优缺点。对这些技术中的每一种技术的数据进行比较提出了一个重要问题:测量的转录动力学是否反映了特定部位(即工作 TF)的生物学功能相互作用,还是反映了非特异性相互作用(即发挥 TF)?为了帮助解决这一困境,我们讨论了与特定启动子反应元件以及非特异性部位的短暂和持续结合事件的功能相关的五个关键未解决的生物学问题。为了支持功能,我们回顾了数据表明 TF 停留时间受到严格调节,并且这种调节调节了单个基因的转录输出。我们认为,除了这种特定于位点的调节作用外,TF 停留时间还决定了细胞内占据的启动子靶标分数,从而影响细胞基因网络的功能状态。因此,TF 停留时间是可以通过多种方式影响转录的关键参数。