Chari Ashwin, Haselbach David, Kirves Jan-Martin, Ohmer Juergen, Paknia Elham, Fischer Niels, Ganichkin Oleg, Möller Vanessa, Frye Jeremiah J, Petzold Georg, Jarvis Marc, Tietzel Michael, Grimm Clemens, Peters Jan-Michael, Schulman Brenda A, Tittmann Kai, Markl Jürgen, Fischer Utz, Stark Holger
Research Group of 3D Electron Cryomicroscopy, Max Planck Institute for Biophysical Chemistry, Göttingen, Germany.
Department of Biochemistry, Theodor-Boveri Institute, University of Würzburg, Würzburg, Germany.
Nat Methods. 2015 Sep;12(9):859-65. doi: 10.1038/nmeth.3493. Epub 2015 Aug 3.
Molecular machines or macromolecular complexes are supramolecular assemblies of biomolecules with a variety of functions. Structure determination of these complexes in a purified state is often tedious owing to their compositional complexity and the associated relative structural instability. To improve the stability of macromolecular complexes in vitro, we present a generic method that optimizes the stability, homogeneity and solubility of macromolecular complexes by sparse-matrix screening of their thermal unfolding behavior in the presence of various buffers and small molecules. The method includes the automated analysis of thermal unfolding curves based on a biophysical unfolding model for complexes. We found that under stabilizing conditions, even large multicomponent complexes reveal an almost ideal two-state unfolding behavior. We envisage an improved biochemical understanding of purified macromolecules as well as a substantial boost in successful macromolecular complex structure determination by both X-ray crystallography and cryo-electron microscopy.
分子机器或大分子复合物是具有多种功能的生物分子超分子组装体。由于其组成复杂性和相关的相对结构不稳定性,纯化状态下这些复合物的结构测定通常很繁琐。为了提高大分子复合物在体外的稳定性,我们提出了一种通用方法,该方法通过在各种缓冲液和小分子存在下对其热解折叠行为进行稀疏矩阵筛选,来优化大分子复合物的稳定性、均一性和溶解性。该方法包括基于复合物生物物理解折叠模型对热解折叠曲线进行自动分析。我们发现,在稳定条件下,即使是大型多组分复合物也呈现出几乎理想的两态解折叠行为。我们设想,这将增进对纯化大分子的生化理解,并极大地推动通过X射线晶体学和冷冻电子显微镜成功测定大分子复合物的结构。