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比较拉曼光谱和纳米二次离子质谱用于单细胞重水标记

Comparing Raman and NanoSIMS for heavy water labeling of single cells.

作者信息

Schaible George A, Cliff John B, Crandall Jennifer A, Bougoure Jeremy J, Mathuri Michael N, Sessions Alex L, Atwood Joseph, Hatzenpichler Roland

机构信息

Department of Chemistry and Biochemistry, Montana State University, Bozeman, MT 59717.

Center for Biofilm Engineering, Montana State University, Bozeman, MT 59717.

出版信息

bioRxiv. 2025 Mar 17:2024.07.05.602271. doi: 10.1101/2024.07.05.602271.

DOI:10.1101/2024.07.05.602271
PMID:40166262
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11956904/
Abstract

Stable isotope probing (SIP) experiments in conjunction with Raman microspectroscopy (Raman) or nano-scale secondary ion mass spectrometry (NanoSIMS) are frequently used to explore single cell metabolic activity in pure cultures as well as complex microbiomes. Despite the increasing popularity of these techniques, the comparability of isotope incorporation measurements using both Raman and NanoSIMS directly on the same cell remains largely unexplored. This knowledge gap creates uncertainty about the consistency of single-cell SIP data obtained independently from each method. Here, we conducted a comparative analysis of 543 cells grown in M9 minimal medium in the absence or presence of heavy water (HO) using correlative Raman and NanoSIMS measurements to quantify the results between the two approaches. We demonstrate that Raman and NanoSIMS yield highly comparable measurements of H incorporation, with varying degrees of similarity based on the mass ratios analyzed using NanoSIMS. The and mass ratios provide targeted measurements of C-H bonds but may suffer from biases and background interference, while the H/H ratio captures all hydrogen with lower detection limits, making it suitable for applications requiring comprehensive H quantification. Importantly, despite its higher mass resolution requirements, the use of C H/C H may be a viable alternative to using CH/CH due to lower background and higher overall count rates. Furthermore, using an empirical approach to determining Raman wavenumber ranges via the 2 derivative improved the data equivalency of H quantification between Raman and NanoSIMS, highlighting its potential for enhancing cross-technique comparability. These findings provide a robust framework for leveraging both techniques, enabling informed experimental design and data interpretation. By enhancing cross-technique comparability, this work advances SIP methodologies for investigating microbial metabolism and interactions in diverse systems.

摘要

稳定同位素探测(SIP)实验结合拉曼光谱(Raman)或纳米二次离子质谱(NanoSIMS),常用于探索纯培养物以及复杂微生物群落中的单细胞代谢活性。尽管这些技术越来越受欢迎,但直接在同一细胞上使用拉曼光谱和纳米二次离子质谱进行同位素掺入测量的可比性在很大程度上仍未得到探索。这一知识空白导致了从每种方法独立获得的单细胞SIP数据的一致性存在不确定性。在这里,我们使用相关的拉曼光谱和纳米二次离子质谱测量方法,对在有无重水(H₂O)的M9基本培养基中生长的543个细胞进行了比较分析,以量化两种方法之间的结果。我们证明,拉曼光谱和纳米二次离子质谱对氢掺入的测量结果具有高度可比性,基于纳米二次离子质谱分析的质量比,它们具有不同程度的相似性。¹²C/¹³C和¹³C/¹²C质量比提供了对C-H键的靶向测量,但可能存在偏差和背景干扰,而H/²H比捕获了所有氢,检测限较低,使其适用于需要全面氢定量的应用。重要的是,尽管对质量分辨率要求较高,但由于背景较低且总计数率较高,使用¹³C-¹H/¹²C-¹H可能是使用¹³CH/¹²CH的可行替代方法。此外,通过经验方法通过二阶导数确定拉曼波数范围,提高了拉曼光谱和纳米二次离子质谱之间氢定量的数据等效性,突出了其增强跨技术可比性的潜力。这些发现为同时利用这两种技术提供了一个强大的框架,有助于进行明智的实验设计和数据解释。通过提高跨技术可比性,这项工作推动了用于研究不同系统中微生物代谢和相互作用的SIP方法的发展。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6507/11956904/b720104b9024/nihpp-2024.07.05.602271v2-f0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6507/11956904/5f38f5b46c70/nihpp-2024.07.05.602271v2-f0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6507/11956904/a3dfbdd28008/nihpp-2024.07.05.602271v2-f0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6507/11956904/cd26df2040c8/nihpp-2024.07.05.602271v2-f0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6507/11956904/b720104b9024/nihpp-2024.07.05.602271v2-f0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6507/11956904/5f38f5b46c70/nihpp-2024.07.05.602271v2-f0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6507/11956904/a3dfbdd28008/nihpp-2024.07.05.602271v2-f0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6507/11956904/cd26df2040c8/nihpp-2024.07.05.602271v2-f0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6507/11956904/b720104b9024/nihpp-2024.07.05.602271v2-f0004.jpg

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本文引用的文献

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Single-cell measurement of microbial growth rate with Raman microspectroscopy.拉曼微光谱法单细胞测量微生物生长率。
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Correlative SIP-FISH-Raman-SEM-NanoSIMS links identity, morphology, biochemistry, and physiology of environmental microbes.相关的SIP-FISH-拉曼-扫描电子显微镜-纳米二次离子质谱联用技术将环境微生物的身份、形态、生物化学和生理学联系起来。
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