Belviso Benny Danilo, Shen Yunpeng, Carrozzini Benedetta, Morishita Masayo, di Luccio Eric, Caliandro Rocco
Institute of Crystallography, CNR, Bari, Italy.
Department of Biotechnology, School of Biological Engineering, Henan University of Technology, Zhengzhou, Henan, China.
Front Mol Biosci. 2024 Mar 7;11:1191246. doi: 10.3389/fmolb.2024.1191246. eCollection 2024.
NSD3 is a member of six H3K36-specific histone lysine methyltransferases in metazoans. Its overexpression or mutation is implicated in developmental defects and oncogenesis. Aside from the well-characterized catalytic SET domain, NSD3 has multiple clinically relevant potential chromatin-binding motifs, such as the proline-tryptophan-tryptophan-proline (PWWP), the plant homeodomain (PHD), and the adjacent Cys-His-rich domain located at the C-terminus. The crystal structure of the individual domains is available, and this structural knowledge has allowed the designing of potential inhibitors, but the intrinsic flexibility of larger constructs has hindered the characterization of mutual domain conformations. Here, we report the first structural characterization of the NSD3 C-terminal region comprising the PWWP2, SET, and PHD4 domains, which has been achieved at a low resolution in solution by small-angle X-ray scattering (SAXS) data on two multiple-domain NSD3 constructs complemented with size-exclusion chromatography and advanced computational modeling. Structural models predicted by machine learning have been validated in direct space, by comparison with the SAXS-derived molecular envelope, and in reciprocal space, by reproducing the experimental SAXS profile. Selected models have been refined by SAXS-restrained molecular dynamics. This study shows how SAXS data can be used with advanced computational modeling techniques to achieve a detailed structural characterization and sheds light on how NSD3 domains are interconnected in the C-terminus.
NSD3是后生动物中六种H3K36特异性组蛋白赖氨酸甲基转移酶之一。其过表达或突变与发育缺陷和肿瘤发生有关。除了特征明确的催化SET结构域外,NSD3还有多个与临床相关的潜在染色质结合基序,如脯氨酸-色氨酸-色氨酸-脯氨酸(PWWP)、植物同源结构域(PHD)以及位于C末端的相邻富含半胱氨酸-组氨酸的结构域。各个结构域的晶体结构是已知的,这些结构知识有助于设计潜在的抑制剂,但较大构建体的内在灵活性阻碍了对结构域相互构象的表征。在此,我们报道了NSD3 C末端区域(包含PWWP2、SET和PHD4结构域)的首次结构表征,这是通过对两种多结构域NSD3构建体进行小角X射线散射(SAXS)数据,并结合尺寸排阻色谱和先进的计算建模,在溶液中以低分辨率实现的。通过机器学习预测的结构模型已在实空间中通过与SAXS衍生的分子包络进行比较得到验证,在倒易空间中通过重现实验SAXS谱得到验证。选定的模型已通过SAXS约束分子动力学进行了优化。这项研究展示了如何将SAXS数据与先进的计算建模技术结合使用,以实现详细的结构表征,并揭示了NSD3结构域在C末端是如何相互连接的。