通过重建电子能量损失分析绘制单粒子重建中的元素图谱。

IF 36.1 1区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS
Olivia Pfeil-Gardiner, Higor Vinícius Dias Rosa, Dietmar Riedel, Yu Seby Chen, Dominique Lörks, Pirmin Kükelhan, Martin Linck, Heiko Müller, Filip Van Petegem, Bonnie J. Murphy
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引用次数: 0

摘要

对于通过低温电子显微镜确定的大分子结构,目前还没有将元素映射到确定位置的技术,这导致在分配金属和其他离子、辅助因子、底物、抑制剂和脂质时出现误差,而这些元素在活动和调节中起着至关重要的作用。在电子显微镜下绘制元素图谱对于剂量耐受性样品来说已经非常成熟,但对于生物样品,尤其是低温保存状态的生物样品来说,则具有挑战性。在这里,我们将电子能量损失光谱与单粒子图像处理相结合,实现了低温保存的大分子复合物的元素图谱绘制。原理验证数据表明,我们的重建电子能量损失(REEL)分析方法可以对电子能量损失光谱数据进行三维重建,从而在复合物的多个副本中累积高电子总剂量。通过两个测试样本,我们证明了我们可以可靠地定位丰富的元素。我们讨论了该方法目前的局限性和未来的潜在发展。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Elemental mapping in single-particle reconstructions by reconstructed electron energy-loss analysis

Elemental mapping in single-particle reconstructions by reconstructed electron energy-loss analysis
For macromolecular structures determined by cryogenic electron microscopy, no technique currently exists for mapping elements to defined locations, leading to errors in the assignment of metals and other ions, cofactors, substrates, inhibitors and lipids that play essential roles in activity and regulation. Elemental mapping in the electron microscope is well established for dose-tolerant samples but is challenging for biological samples, especially in a cryo-preserved state. Here we combine electron energy-loss spectroscopy with single-particle image processing to allow elemental mapping in cryo-preserved macromolecular complexes. Proof-of-principle data show that our method, reconstructed electron energy-loss (REEL) analysis, allows a three-dimensional reconstruction of electron energy-loss spectroscopy data, such that a high total electron dose is accumulated across many copies of a complex. Working with two test samples, we demonstrate that we can reliably localize abundant elements. We discuss the current limitations of the method and potential future developments. An approach combining electron energy-loss spectroscopy with image processing tools from single-particle cryo-electron microscopy enables elemental mapping in macromolecular complexes, paving the way for the accurate assignment of metals, ions, ligands and lipids.
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来源期刊
Nature Methods
Nature Methods 生物-生化研究方法
CiteScore
58.70
自引率
1.70%
发文量
326
审稿时长
1 months
期刊介绍: Nature Methods is a monthly journal that focuses on publishing innovative methods and substantial enhancements to fundamental life sciences research techniques. Geared towards a diverse, interdisciplinary readership of researchers in academia and industry engaged in laboratory work, the journal offers new tools for research and emphasizes the immediate practical significance of the featured work. It publishes primary research papers and reviews recent technical and methodological advancements, with a particular interest in primary methods papers relevant to the biological and biomedical sciences. This includes methods rooted in chemistry with practical applications for studying biological problems.
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