Molecular Biophysics and Integrated Bioimaging Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94720;
Department of Molecular and Cell Biology, University of California, Berkeley, CA 94720.
Proc Natl Acad Sci U S A. 2018 Jul 3;115(27):E6191-E6200. doi: 10.1073/pnas.1802637115. Epub 2018 Jun 18.
Microtubules (MTs) are polymers assembled from αβ-tubulin heterodimers that display the hallmark behavior of dynamic instability. MT dynamics are driven by GTP hydrolysis within the MT lattice, and are highly regulated by a number of MT-associated proteins (MAPs). How MAPs affect MTs is still not fully understood, partly due to a lack of high-resolution structural data on undecorated MTs, which need to serve as a baseline for further comparisons. Here we report three structures of MTs in different nucleotide states (GMPCPP, GDP, and GTPγS) at near-atomic resolution and in the absence of any binding proteins. These structures allowed us to differentiate the effects of nucleotide state versus MAP binding on MT structure. Kinesin binding has a small effect on the extended, GMPCPP-bound lattice, but hardly affects the compacted GDP-MT lattice, while binding of end-binding (EB) proteins can induce lattice compaction (together with lattice twist) in MTs that were initially in an extended and more stable state. We propose a MT lattice-centric model in which the MT lattice serves as a platform that integrates internal tubulin signals, such as nucleotide state, with outside signals, such as binding of MAPs or mechanical forces, resulting in global lattice rearrangements that in turn affect the affinity of other MT partners and result in the exquisite regulation of MT dynamics.
微管(MTs)是由αβ-微管蛋白异二聚体组装而成的聚合物,具有动态不稳定性的标志性行为。MT 的动力学由 MT 晶格内的 GTP 水解驱动,并受到许多 MT 相关蛋白(MAPs)的高度调节。MAPs 如何影响 MTs 仍不完全清楚,部分原因是缺乏未修饰的 MTs 的高分辨率结构数据,这些数据需要作为进一步比较的基线。在这里,我们报告了三种不同核苷酸状态(GMPCPP、GDP 和 GTPγS)下的 MT 结构,分辨率接近原子水平,且没有任何结合蛋白。这些结构使我们能够区分核苷酸状态与 MAP 结合对 MT 结构的影响。驱动蛋白结合对延伸的 GMPCPP 结合晶格的影响很小,但几乎不影响紧凑的 GDP-MT 晶格,而末端结合(EB)蛋白的结合可以诱导初始处于延伸和更稳定状态的 MT 晶格的压缩(与晶格扭曲一起)。我们提出了一个以 MT 晶格为中心的模型,其中 MT 晶格作为一个平台,整合了内部微管信号,如核苷酸状态,以及外部信号,如 MAP 结合或机械力,导致全局晶格重排,进而影响其他 MT 伙伴的亲和力,并导致 MT 动力学的精确调节。