Suppr超能文献

高通量氢氘交换质谱法(HDX-MS)与零下温度超高压液相色谱法(UPLC)联用用于复杂样品分析。

High-throughput hydrogen deuterium exchange mass spectrometry (HDX-MS) coupled with subzero-temperature ultrahigh pressure liquid chromatography (UPLC) separation for complex sample analysis.

作者信息

Fang Mulin, Wang Zhe, Cupp-Sutton Kellye A, Welborn Thomas, Smith Kenneth, Wu Si

机构信息

Department of Chemistry and Biochemistry, University of Oklahoma, Norman, OK, 73019, USA.

Department of Arthritis and Clinical Immunology, Oklahoma Medical Research Foundation, Oklahoma City, OK, 73104, USA.

出版信息

Anal Chim Acta. 2021 Jan 25;1143:65-72. doi: 10.1016/j.aca.2020.11.022. Epub 2020 Nov 21.

Abstract

Hydrogen deuterium exchange coupled with mass spectrometry (HDX-MS) is a powerful technique for the characterization of protein dynamics and protein interactions. Recent technological developments in the HDX-MS field, such as sub-zero LC separations, large-scale data analysis tools, and efficient protein digestion methods, have allowed for the application of HDX-MS to the analysis of multi protein systems in addition to pure protein analysis. Still, high-throughput HDX-MS analysis of complex samples is not widespread because the co-elution of peptides combined with increased peak complexity after labeling makes peak de-convolution extremely difficult. Here, for the first time, we evaluated and optimized long gradient subzero-temperature ultra-high-pressure liquid chromatography (UPLC) separation conditions for the HDX-MS analysis of complex protein samples such as E. coli cell lysate digest. Under the optimized conditions, we identified 1419 deuterated peptides from 320 proteins at -10 °C, which is about 3-fold more when compared with a 15-min gradient separation under the same conditions. Interestingly, our results suggested that the peptides eluted late in the gradient are well-protected by peptide-column interactions at -10 °C so that peptides eluted even at the end of the gradient maintain high levels of deuteration. Overall, our study suggests that the optimized, sub-zero, long-gradient UPLC separation is capable of characterizing thousands of peptides in a single HDX-MS analysis with low back-exchange rates. As a result, this technique holds great potential for characterizing complex samples such as cell lysates using HDX-MS.

摘要

氢氘交换与质谱联用(HDX-MS)是一种用于表征蛋白质动力学和蛋白质相互作用的强大技术。HDX-MS领域最近的技术发展,如零下液相色谱分离、大规模数据分析工具和高效的蛋白质消化方法,使得HDX-MS除了可用于纯蛋白质分析外,还能应用于多蛋白系统的分析。尽管如此,复杂样品的高通量HDX-MS分析尚未广泛开展,因为肽段的共洗脱以及标记后峰复杂性的增加使得峰去卷积极其困难。在此,我们首次评估并优化了用于大肠杆菌细胞裂解物消化等复杂蛋白质样品HDX-MS分析的长梯度零下温度超高压液相色谱(UPLC)分离条件。在优化条件下,我们在-10°C时从320种蛋白质中鉴定出1419个氘代肽段,与相同条件下15分钟梯度分离相比,数量约多3倍。有趣的是,我们的结果表明,在-10°C时,梯度洗脱后期的肽段受到肽-柱相互作用的良好保护,以至于即使在梯度洗脱结束时洗脱的肽段仍保持高水平的氘代。总体而言,我们的研究表明,优化后的零下长梯度UPLC分离能够在单次HDX-MS分析中以低回交率表征数千个肽段。因此,该技术在使用HDX-MS表征细胞裂解物等复杂样品方面具有巨大潜力。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cb1e/8265693/5559265dd2ba/nihms-1652486-f0001.jpg

相似文献

5
Increase the flow rate and improve hydrogen deuterium exchange mass spectrometry.提高流速,改善氢氘交换质谱法。
J Chromatogr A. 2023 Jan 25;1689:463742. doi: 10.1016/j.chroma.2022.463742. Epub 2022 Dec 23.

引用本文的文献

3
Target Engagement Assays in Early Drug Discovery.早期药物发现中的靶点结合分析
J Med Chem. 2025 Jun 26;68(12):12331-12368. doi: 10.1021/acs.jmedchem.4c03115. Epub 2025 Jun 4.
4
Rigorous Analysis of Multimodal HDX-MS Spectra.多模态氢氘交换质谱(HDX-MS)谱图的严格分析
J Am Soc Mass Spectrom. 2025 Feb 5;36(2):416-423. doi: 10.1021/jasms.4c00471. Epub 2025 Jan 21.
6
Neurofilament Light Chain under the Lens of Structural Mass Spectrometry.结构质谱视角下的神经丝轻链
ACS Chem Neurosci. 2025 Jan 15;16(2):141-151. doi: 10.1021/acschemneuro.4c00526. Epub 2025 Jan 2.

本文引用的文献

8
Hydrogen Exchange Mass Spectrometry.氢交换质谱法
Methods Enzymol. 2016;566:335-56. doi: 10.1016/bs.mie.2015.06.035. Epub 2015 Jul 27.
9
Analytical Aspects of Hydrogen Exchange Mass Spectrometry.氢交换质谱分析法的分析方面
Annu Rev Anal Chem (Palo Alto Calif). 2015;8:127-48. doi: 10.1146/annurev-anchem-062011-143113. Epub 2015 May 29.

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验