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值得思考的问题:用于肉类安全的蛋白质组学

Food for Thought: Proteomics for Meat Safety.

作者信息

Tarbeeva Svetlana, Kozlova Anna, Sarygina Elizaveta, Kiseleva Olga, Ponomarenko Elena, Ilgisonis Ekaterina

机构信息

Institute of Biomedical Chemistry, 119121 Moscow, Russia.

出版信息

Life (Basel). 2023 Jan 17;13(2):255. doi: 10.3390/life13020255.

DOI:10.3390/life13020255
PMID:36836616
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9966529/
Abstract

Foodborne bacteria interconnect food and human health. Despite significant progress in food safety regulation, bacterial contamination is still a serious public health concern and the reason for significant commercial losses. The screening of the microbiome in meals is one of the main aspects of food production safety influencing the health of the end-consumers. Our research provides an overview of proteomics findings in the field of food safety made over the last decade. It was believed that proteomics offered an accurate snapshot of the complex networks of the major biological machines called proteins. The proteomic methods for the detection of pathogens were armed with bioinformatics algorithms, allowing us to map the data onto the genome and transcriptome. The mechanisms of the interaction between bacteria and their environment were elucidated with unprecedented sensitivity, specificity, and depth. Using our web-based tool ScanBious for automated publication analysis, we analyzed over 48,000 scientific articles on antibiotic and disinfectant resistance and highlighted the benefits of proteomics for the food safety field. The most promising approach to studying safety in food production is the combination of classical genomic and metagenomic approaches and the advantages provided by proteomic methods with the use of panoramic and targeted mass spectrometry.

摘要

食源细菌将食品与人类健康联系起来。尽管食品安全监管取得了重大进展,但细菌污染仍然是一个严重的公共卫生问题,也是造成重大商业损失的原因。膳食中微生物组的筛查是影响最终消费者健康的食品生产安全的主要方面之一。我们的研究概述了过去十年在食品安全领域的蛋白质组学研究结果。人们认为蛋白质组学提供了被称为蛋白质的主要生物机器复杂网络的精确快照。用于检测病原体的蛋白质组学方法配备了生物信息学算法,使我们能够将数据映射到基因组和转录组上。以前所未有的灵敏度、特异性和深度阐明了细菌与其环境之间的相互作用机制。使用我们基于网络的工具ScanBious进行自动化出版物分析,我们分析了超过48000篇关于抗生素和消毒剂抗性的科学文章,并强调了蛋白质组学对食品安全领域的益处。研究食品生产安全性最有前景的方法是将经典基因组学和宏基因组学方法与蛋白质组学方法通过全景和靶向质谱提供的优势相结合。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8de9/9966529/8a05330f094c/life-13-00255-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8de9/9966529/ecd2042b7430/life-13-00255-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8de9/9966529/8a05330f094c/life-13-00255-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8de9/9966529/ecd2042b7430/life-13-00255-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8de9/9966529/8a05330f094c/life-13-00255-g002.jpg

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Genomic and Evolutionary Analysis of Serovar Kentucky Sequence Type 198 Isolated From Livestock In East Africa.东非牲畜中分离的肯塔基血清型 198 序列型 1 的基因组和进化分析。
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WeCoNET: a host-pathogen interactome database for deciphering crucial molecular networks of wheat-common bunt cross-talk mechanisms.
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Infect Drug Resist. 2023 Oct 6;16:6567-6586. doi: 10.2147/IDR.S411125. eCollection 2023.
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Plant Methods. 2022 Jun 3;18(1):73. doi: 10.1186/s13007-022-00897-9.
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