Flow Cytometry in Microbiology: A Review of the Current State in Microbiome Research, Probiotics, and Industrial Manufacturing

IF 2.1 4区 生物学 Q3 BIOCHEMICAL RESEARCH METHODS
Joanna Śliwa-Dominiak, Kamila Czechowska, Alfonso Blanco, Katarzyna Sielatycka, Martyna Radaczyńska, Karolina Skonieczna-Żydecka, Wojciech Marlicz, Igor Łoniewski
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引用次数: 0

Abstract

Flow cytometry (FC) is a versatile and powerful tool in microbiology, enabling precise analysis of single cells for a variety of applications, including the detection and quantification of bacteria, viruses, fungi, as well as algae, phytoplankton, and parasites. Its utility in assessing cell viability, metabolic activity, immune responses, and pathogen-host interactions makes it indispensable in both research and diagnostics. The analysis of microbiota (community of microorganisms) and microbiome (collective genomes of the microorganisms) has become essential for understanding the intricate role of microbial communities in health, disease, and physiological functions. FC offers a promising complement, providing rapid, cost-effective, and dynamic profiling of microbial communities, with the added ability to isolate and sort bacterial populations for further analysis. In the probiotic industry, FC facilitates fast, affordable, and versatile analyses, helping assess both probiotics and postbiotics. It also supports the study of bacterial viability under stress conditions, including gastric acid and bile, improving insight into probiotic survival and adhesion to the intestinal mucosa. Additionally, the integration of Machine Learning in microbiology research has transformative potential, improving data analysis and supporting advances in personalized medicine and probiotic formulations. Despite the need for further standardization, FC continues to evolve as a key tool in modern microbiology and clinical diagnostics.

微生物学中的流式细胞术:微生物组研究、益生菌和工业制造的现状综述。
流式细胞术(FC)是一种多功能和强大的微生物学工具,能够对各种应用的单细胞进行精确分析,包括细菌,病毒,真菌以及藻类,浮游植物和寄生虫的检测和定量。它在评估细胞活力、代谢活性、免疫反应和病原体-宿主相互作用方面的效用使其在研究和诊断中都不可或缺。微生物群(微生物群落)和微生物组(微生物基因组)的分析对于理解微生物群落在健康、疾病和生理功能中的复杂作用至关重要。FC提供了一个很有前途的补充,提供了快速、经济、动态的微生物群落分析,并增加了分离和分类细菌种群的能力,以供进一步分析。在益生菌行业,FC促进了快速、负担得起和通用的分析,帮助评估益生菌和后益生菌。它还支持应激条件下细菌活力的研究,包括胃酸和胆汁,提高对益生菌生存和肠粘膜粘附的认识。此外,机器学习在微生物学研究中的整合具有变革潜力,可以改进数据分析并支持个性化医疗和益生菌配方的进步。尽管需要进一步的标准化,FC继续发展为现代微生物学和临床诊断的关键工具。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Cytometry Part A
Cytometry Part A 生物-生化研究方法
CiteScore
8.10
自引率
13.50%
发文量
183
审稿时长
4-8 weeks
期刊介绍: Cytometry Part A, the journal of quantitative single-cell analysis, features original research reports and reviews of innovative scientific studies employing quantitative single-cell measurement, separation, manipulation, and modeling techniques, as well as original articles on mechanisms of molecular and cellular functions obtained by cytometry techniques. The journal welcomes submissions from multiple research fields that fully embrace the study of the cytome: Biomedical Instrumentation Engineering Biophotonics Bioinformatics Cell Biology Computational Biology Data Science Immunology Parasitology Microbiology Neuroscience Cancer Stem Cells Tissue Regeneration.
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