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电喷雾诱导质谱法不适于测定肽基 Cu(II)配合物。

Electrospray-Induced Mass Spectrometry Is Not Suitable for Determination of Peptidic Cu(II) Complexes.

机构信息

Institute of Biochemistry and Biophysics, Polish Academy of Sciences Pawińskiego 5A, 02-106 Warsaw, Poland.

出版信息

J Am Soc Mass Spectrom. 2021 Dec 1;32(12):2766-2776. doi: 10.1021/jasms.1c00206. Epub 2021 Nov 5.

Abstract

The toolset of mass spectrometry (MS) is still expanding, and the number of metal ion complexes researched this way is growing. The Cu(II) ion forms particularly strong peptide complexes of biological interest which are frequent objects of MS studies, but quantitative aspects of some reported results are at odds with those of experiments performed in solution. Cu(II) complexes are usually characterized by fast ligand exchange rates, despite their high affinity, and we speculated that such kinetic lability could be responsible for the observed discrepancies. In order to resolve this issue, we selected peptides belonging to the ATCUN family characterized with high and thoroughly determined Cu(II) binding constants and re-estimated them using two ESI-MS techniques: standard conditions in combination with serial dilution experiments and very mild conditions for competition experiments. The sample acidification, which accompanies the electrospray formation, was simulated with the pH-jump stopped-flow technique. Our results indicate that ESI-MS should not be used for quantitative studies of Cu(II)-peptide complexes because the electrospray formation process compromises the entropic contribution to the complex stability, yielding underestimations of complex stability constants.

摘要

质谱(MS)的工具集仍在不断扩展,采用这种方法研究的金属离子配合物的数量也在不断增加。Cu(II)离子与生物感兴趣的肽形成特别强的配合物,这些配合物是 MS 研究的常见对象,但一些报道结果的定量方面与溶液中进行的实验结果不一致。尽管 Cu(II)配合物具有高亲和力,但它们通常表现出快速的配体交换速率,我们推测这种动力学不稳定性可能是导致观察到差异的原因。为了解决这个问题,我们选择了属于 ATCUN 家族的肽,这些肽具有高且经过彻底确定的 Cu(II)结合常数,并使用两种 ESI-MS 技术重新进行了估计:与连续稀释实验相结合的标准条件和用于竞争实验的非常温和的条件。伴随着电喷雾形成的样品酸化,使用 pH 跃变停流技术进行了模拟。我们的结果表明,ESI-MS 不应用于 Cu(II)-肽配合物的定量研究,因为电喷雾形成过程会损害配合物稳定性的熵贡献,从而导致配合物稳定性常数的低估。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b43c/8640992/765ce02746b1/js1c00206_0001.jpg

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