Department of Biological Sciences, Columbia University, New York, NY 10027, USA; email:
Department of Systems Biology, Columbia University Irving Medical Center, New York, NY 10031, USA; email:
Annu Rev Cell Dev Biol. 2019 Oct 6;35:357-379. doi: 10.1146/annurev-cellbio-100617-062719. Epub 2019 Jul 5.
Eukaryotic transcription factors (TFs) from the same structural family tend to bind similar DNA sequences, despite the ability of these TFs to execute distinct functions in vivo. The cell partly resolves this specificity paradox through combinatorial strategies and the use of low-affinity binding sites, which are better able to distinguish between similar TFs. However, because these sites have low affinity, it is challenging to understand how TFs recognize them in vivo. Here, we summarize recent findings and technological advancements that allow for the quantification and mechanistic interpretation of TF recognition across a wide range of affinities. We propose a model that integrates insights from the fields of genetics and cell biology to provide further conceptual understanding of TF binding specificity. We argue that in eukaryotes, target specificity is driven by an inhomogeneous 3D nuclear distribution of TFs and by variation in DNA binding affinity such that locally elevated TF concentration allows low-affinity binding sites to be functional.
真核转录因子(TFs)来自同一结构家族,尽管它们在体内能够执行不同的功能,但往往会结合相似的 DNA 序列。细胞通过组合策略和使用低亲和力结合位点部分解决了这种特异性悖论,低亲和力结合位点能够更好地区分相似的 TFs。然而,由于这些结合位点的亲和力较低,因此很难理解 TFs 如何在体内识别它们。在这里,我们总结了最近的发现和技术进步,这些发现和技术进步允许对广泛亲和力范围内的 TF 识别进行定量和机制解释。我们提出了一个模型,该模型整合了遗传学和细胞生物学领域的见解,为进一步理解 TF 结合特异性提供了概念性理解。我们认为,在真核生物中,靶特异性是由 TFs 在 3D 细胞核中的不均匀分布以及 DNA 结合亲和力的变化驱动的,使得局部升高的 TF 浓度允许低亲和力结合位点发挥功能。