Buhl Julie Maibøll, Mahapatra Sujata, Kjærgaard Magnus, Mulder Frans A A
Interdisciplinary Nanoscience Center (iNANO), Aarhus University, Gustav Wieds Vej 14, Aarhus C, 8000, Denmark.
Institute of Biochemistry, Johannes Kepler University Linz, Altenberger Straße 69, 4040, Linz, Austria.
Chembiochem. 2025 Sep 15;26(17):e202500401. doi: 10.1002/cbic.202500401. Epub 2025 Jul 24.
Several intrinsically disordered proteins have been shown to undergo phase separation into a dense and dilute phase and this process is intimately linked with the regulation of cellular processes. It is therefore highly relevant to know how metabolites partition between these phases. It is shown here that the partitioning of components in a complex mixture can be robustly obtained from a single set of 2D nuclear magnetic resonance (NMR) spectra recorded on the dilute and dense phases separately using "time-zero extrapolated" heteronuclear single quantum coherence (HSQC) spectroscopy. The spectral separation power of 2D NMR spectroscopy circumvents the need for physical isolation or workup of the mixture components in the two samples. Using quantitative 1D H NMR, it is validated that the HSQC approach effectively removes all the undermining effects that plague quantification in common 2D NMR experiments, including differential attenuation due to relaxation in the two phases, pulse imperfections, partial decoupling, off-resonance effects, and incomplete coherence transfer in case of scalar coupling variation. These results should be of widespread interest as partitioning into biomolecular condensates is crucial for the calibration of computational physicochemical models of phase separation and key to the further understanding of cellular biochemistry involving membrane-less organelles.
几种内在无序蛋白质已被证明会发生相分离,形成浓相和稀相,这一过程与细胞过程的调控密切相关。因此,了解代谢物在这些相之间的分配情况具有高度相关性。本文表明,通过使用“零时间外推”异核单量子相干(HSQC)光谱分别记录稀相和浓相上的一组二维核磁共振(NMR)谱,可以可靠地获得复杂混合物中各成分的分配情况。二维NMR光谱的光谱分离能力避免了对两个样品中混合物成分进行物理分离或后处理的需要。使用定量一维H NMR验证了HSQC方法有效地消除了困扰普通二维NMR实验定量的所有不利影响,包括由于两相弛豫导致的差异衰减、脉冲缺陷、部分去耦、偏离共振效应以及在标量耦合变化情况下的不完全相干转移。这些结果应具有广泛的意义,因为分配到生物分子凝聚物中对于相分离计算物理化学模型的校准至关重要,也是进一步理解涉及无膜细胞器的细胞生物化学的关键。