Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, Tennessee 37831, United States.
UT-ORNL Graduate School of Genome Science and Technology, University of Tennessee, Knoxville, Tennessee 37996, United States.
Anal Chem. 2024 Jan 9;96(1):212-219. doi: 10.1021/acs.analchem.3c03750. Epub 2023 Dec 27.
Customization of deuterated biomolecules is vital for many advanced biological experiments including neutron scattering. However, because it is challenging to control the proportion and regiospecificity of deuterium incorporation in live systems, often only two or three synthetic lipids are mixed together to form simplistic model membranes. This limits the applicability and biological accuracy of the results generated with these synthetic membranes. Despite some limited prior examination of deuterating lipids , this approach has not been widely implemented. Here, an extensive mass spectrometry-based profiling of phospholipid deuteration states with several different growth media was performed, and a computational method to describe deuterium distributions with a one-number summary is introduced. The deuteration states of 36 lipid species were quantitatively profiled in 15 different growth conditions, and tandem mass spectrometry was used to reveal deuterium localization. Regressions were employed to enable the prediction of lipid deuteration for untested conditions. Small-angle neutron scattering was performed on select deuterated lipid samples, which validated the deuteration states calculated from the mass spectral data. Based on these experiments, guidelines for the design of specifically deuterated phospholipids are described. This unlocks even greater capabilities from neutron-based techniques, enabling experiments that were formerly impossible.
生物分子的氘化定制对于许多先进的生物学实验至关重要,包括中子散射。然而,由于在活系统中控制氘掺入的比例和区域特异性具有挑战性,通常仅将两种或三种合成脂质混合在一起以形成简单的模型膜。这限制了使用这些合成膜生成的结果的适用性和生物学准确性。尽管之前对脂质氘化进行了一些有限的研究,但这种方法尚未得到广泛实施。在这里,对几种不同生长培养基中的磷脂氘化状态进行了广泛的基于质谱的分析,并引入了一种用一个数字总结来描述氘分布的计算方法。在 15 种不同的生长条件下对 36 种脂质种类的氘化状态进行了定量分析,并使用串联质谱法揭示了氘的定位。回归用于能够预测未经测试条件下的脂质氘化。对选定的氘化脂质样品进行了小角中子散射,这验证了从质谱数据计算出的氘化状态。基于这些实验,描述了专门设计的特定氘化磷脂的指南。这为基于中子的技术释放了更大的功能,使以前不可能的实验成为可能。