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让基质辅助激光解吸电离飞行时间质谱用于昆虫学参数测定变得可行:内部谱库创建实用指南。

Making MALDI-TOF MS for entomological parameters accessible: A practical guide for in-house library creation.

作者信息

Karisa Jonathan, Tuwei Mercy, Ominde Kelly, Bartilol Brian, Ondieki Zedekiah, Musani Haron, Rono Martin, Mbogo Charles, Bejon Philip, Mwangangi Joseph, Wanjiku Caroline, Maia Marta

机构信息

Kenya Medical Research Institute, Wellcome Trust Research Program, Kilifi, Kenya.

University of Oxford, Centre for Global Health and Tropical Medicine, Oxford, United Kingdom.

出版信息

PLoS One. 2025 Aug 25;20(8):e0330605. doi: 10.1371/journal.pone.0330605. eCollection 2025.

DOI:10.1371/journal.pone.0330605
PMID:40853945
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12377598/
Abstract

Matrix-assisted laser desorption-ionisation time of flight mass spectrometry (MALDI-TOF MS) is a powerful analytical method that has been used extensively to identify sample ions of complex mixtures, and biological samples such as proteins, tissues and microorganisms. MALDI-TOF MS has revolutionised clinical microbiology with accurate, rapid, and inexpensive species-level identification of microbes. MALDI-TOF MS technology generates spectral signatures and matches them to a library of similar organisms using bioinformatics pattern matching. The use of MALDI-TOF MS for entomological samples has been explored by multiple groups with proven efficacy at differentiating between closely related species, as well as detecting pathogens in different vectors. The low cost per sample processing, rapid turnaround and robustness are attractive for surveillance of vector control programs. Libraries are built in-house for institutional usage, although a multi-user platform with sharing of spectra and data would be attractive. Only a few studies have strived to make their libraries publicly available. Here, we outline a stepwise approach for creating an in-house MALDI-TOF MS library and subsequent query, using malaria vector species identification as a case study for entomological samples. A protocol and video of the methodology are also shared. Moreover, the libraries related to this publication have been deposited in public repository (https://doi.org/10.7910/DVN/VYQFNO37) for anyone with MALDI-TOF MS equipment to adapt.

摘要

基质辅助激光解吸电离飞行时间质谱(MALDI-TOF MS)是一种强大的分析方法,已被广泛用于识别复杂混合物的样品离子以及蛋白质、组织和微生物等生物样品。MALDI-TOF MS通过对微生物进行准确、快速且廉价的种水平鉴定,给临床微生物学带来了变革。MALDI-TOF MS技术生成光谱特征,并使用生物信息学模式匹配将其与类似生物体的文库进行比对。多个研究团队已探索将MALDI-TOF MS用于昆虫学样本,在区分近缘物种以及检测不同病媒中的病原体方面已证实其有效性。每个样本处理成本低、周转迅速且稳定性强,这对病媒控制项目的监测很有吸引力。尽管具有光谱和数据共享功能的多用户平台会很有吸引力,但文库是为机构内部使用而自行构建的。只有少数研究努力使其文库公开可用。在此,我们概述一种创建内部MALDI-TOF MS文库及后续查询的逐步方法,以疟疾病媒物种鉴定作为昆虫学样本的案例研究。还分享了该方法的方案和视频。此外,与本出版物相关的文库已存于公共知识库(https://doi.org/10.7910/DVN/VYQFNO37),供任何拥有MALDI-TOF MS设备的人采用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a931/12377598/cb66a092582f/pone.0330605.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a931/12377598/7912e55e246c/pone.0330605.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a931/12377598/19938af9e4f0/pone.0330605.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a931/12377598/cb66a092582f/pone.0330605.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a931/12377598/7912e55e246c/pone.0330605.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a931/12377598/19938af9e4f0/pone.0330605.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a931/12377598/cb66a092582f/pone.0330605.g003.jpg

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Predicting the age of field mosquitoes using mass spectrometry and deep learning.利用质谱分析和深度学习预测野外蚊子的年龄。
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Potential of MALDI-TOF MS biotyping to detect deltamethrin resistance in the dengue vector Aedes aegypti.
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PLoS One. 2024 May 10;19(5):e0303027. doi: 10.1371/journal.pone.0303027. eCollection 2024.
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Wolbachia detection in Aedes aegypti using MALDI-TOF MS coupled to artificial intelligence.利用 MALDI-TOF MS 结合人工智能检测埃及伊蚊中的沃尔巴克氏体。
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Development of MALDI-TOF mass spectrometry for the identification of lice isolated from farm animals.利用 MALDI-TOF 质谱技术鉴定从农场动物身上分离出的虱子。
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Identification of mixed and successive blood meals of mosquitoes using MALDI-TOF MS protein profiling.利用 MALDI-TOF MS 蛋白质谱鉴定蚊虫的混合和连续血餐。
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