Quantifying Biomolecular Interactions Using Slow Mixing Mode (SLOMO) Nanoflow ESI-MS

被引:17
作者
Bui, Duong T. [1 ]
Li, Zhixiong [1 ]
Kitov, Pavel I. [1 ]
Han, Ling [1 ]
Kitova, Elena N. [1 ]
Fortier, Marlene [2 ]
Fuselier, Camille [2 ]
Boissel, Philippine Granger Joly de [2 ]
Chatenet, David [2 ]
Doucet, Nicolas [2 ]
Tompkins, Stephen M. [3 ,4 ]
St-Pierre, Yves [2 ]
Mahal, Lara K. [1 ]
Klassen, John S. [1 ]
机构
[1] Univ Alberta, Dept Chem, Edmonton, AB T6G 2G2, Canada
[2] Univ Quebec, Inst Natl Rech Sci INRS, Ctr Armand Frappier Sante Biotechnol, Laval, PQ H7V 1B7, Canada
[3] Univ Georgia, Ctr Vaccines & Immunol, Athens, GA 30605 USA
[4] Emory Univ, Emory UGA Ctr Excellence Influenza Res & Surveilla, Sch Med, Athens, GA 30322 USA
基金
加拿大自然科学与工程研究理事会; 加拿大创新基金会; 美国国家卫生研究院; 加拿大健康研究院;
关键词
PROTEIN-PROTEIN INTERACTIONS; ELECTROSPRAY-IONIZATION; RESPONSE FACTORS; LIGAND INTERACTIONS; BETA-LACTOGLOBULIN; MASS-SPECTROMETRY; NONCOVALENT COMPLEXES; BINDING; CONSTANTS; DISSOCIATION;
D O I
10.1021/acscentsci.2c00215
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
Electrospray ionization mass spectrometry (ESI-MS) is a power f u l label-free assay for detecting noncovalent biomolecular complexes in vitro and is increasingly used to quantify binding thermochemistry. A common assumption made in ESI-MS affinity measurements is that the relative ion signals of free and bound species quantitatively reflect their relative concentrations in solution. However, this is valid only when the interacting species and their complexes have simila r ESI-MS response factors (RFs). For many biomolecular complexes, such as protein-protein interactions, this condition is not satisfied . Existing strategies to correct for nonuniform RFs are generally incompatible with static nanoflow ESI (nanoESI) sources, which are typically used for biomolecula r interaction studies, thereby significa n t l y limiting the ut i l i t y of ESI-MS. Here, we introduce slow mixing mode (SLOMO) nanoESI-MS, a direct technique that allows both the RF and affinity (Kd) for a biomolecular interaction to be determined from a si n g l e measurement using static nanoESI . The approach relies on the continuous monitoring of interacting species and their complexes under nonhomogeneous solution conditions. Changes in ion signals of free and bound species as the system approaches or moves a w a y from a steady-state condition allow the relative RFs of the free and bound species to be determined. Combining the relative RF and the relative abundances measured under equilibrium conditions enables the Kd to be calculated . The reliability of SLOMO and its ease of use is demonstrated through affinity measurements performed on peptide-antibiotic, protease-protein inhibitor, and protein oligomerization systems. Finally, affinities measured for the binding of human and bacterial lectins to a nanobody, a viral glycoprotein, and glycolipids displayed within a model membrane highlight the tremendous power and versat i l i t y of SLOMO for accurately quantifying a wide range of biomolecular interactions important to human health and disease.
引用
收藏
页码:963 / 974
页数:12
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