Department of Bionanoscience, Kavli Institute of Nanoscience, Delft University of Technology, Delft, The Netherlands.
Bioinformatics Group, Wageningen University, Wageningen, The Netherlands.
Nat Nanotechnol. 2024 May;19(5):652-659. doi: 10.1038/s41565-023-01598-7. Epub 2024 Feb 13.
Proteins are the primary functional actors of the cell. While proteoform diversity is known to be highly biologically relevant, current protein analysis methods are of limited use for distinguishing proteoforms. Mass spectrometric methods, in particular, often provide only ambiguous information on post-translational modification sites, and sequences of co-existing modifications may not be resolved. Here we demonstrate fluorescence resonance energy transfer (FRET)-based single-molecule protein fingerprinting to map the location of individual amino acids and post-translational modifications within single full-length protein molecules. Our data show that both intrinsically disordered proteins and folded globular proteins can be fingerprinted with a subnanometer resolution, achieved by probing the amino acids one by one using single-molecule FRET via DNA exchange. This capability was demonstrated through the analysis of alpha-synuclein, an intrinsically disordered protein, by accurately quantifying isoforms in mixtures using a machine learning classifier, and by determining the locations of two O-GlcNAc moieties. Furthermore, we demonstrate fingerprinting of the globular proteins Bcl-2-like protein 1, procalcitonin and S100A9. We anticipate that our ability to perform proteoform identification with the ultimate sensitivity may unlock exciting new venues in proteomics research and biomarker-based diagnosis.
蛋白质是细胞的主要功能执行者。虽然已经知道蛋白质构象多样性在生物学上具有高度相关性,但当前的蛋白质分析方法在区分蛋白质构象方面的作用有限。特别是质谱方法通常只能提供关于翻译后修饰位点的模糊信息,并且共存修饰的序列可能无法解析。在这里,我们展示了基于荧光共振能量转移(FRET)的单分子蛋白质指纹图谱技术,用于绘制单个全长蛋白质分子中单个氨基酸和翻译后修饰的位置。我们的数据表明,无论是天然无序的蛋白质还是折叠的球状蛋白质,都可以以亚纳米分辨率进行指纹图谱分析,这是通过使用单分子 FRET 通过 DNA 交换逐个探测氨基酸来实现的。通过使用机器学习分类器准确地定量混合物中的同工型,以及确定两个 O-GlcNAc 部分的位置,我们证明了对天然无序蛋白质α-突触核蛋白的分析。此外,我们还展示了 Bcl-2 样蛋白 1、降钙素原和 S100A9 等球状蛋白质的指纹图谱分析。我们预计,我们具有以最高灵敏度进行蛋白质构象鉴定的能力,可能会为蛋白质组学研究和基于生物标志物的诊断开辟令人兴奋的新途径。