下一代 IgA-SEQ 可对 IgA 包被细菌进行高通量、厌氧和元基因组评估。

IF 13.8 1区 生物学 Q1 MICROBIOLOGY
Merel van Gogh, Jonas M Louwers, Anna Celli, Sanne Gräve, Marco C Viveen, Sofie Bosch, Nanne K H de Boer, Rik J Verheijden, Karijn P M Suijkerbuijk, Eelco C Brand, Janetta Top, Bas Oldenburg, Marcel R de Zoete
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引用次数: 0

摘要

背景:肠道微生物群在维持全身和肠道平衡方面发挥着重要作用,但也会影响炎症性肠病(IBD)和癌症等疾病。肠道内的某些细菌可长期激活免疫系统,导致低度肠道炎症。因此,浆细胞会产生大量分泌性抗原特异性免疫球蛋白 A(IgA),包裹住免疫刺激细菌。这种针对肠道细菌的 IgA 免疫反应可能与维持平衡和健康以及疾病有关。要了解肠道微生物群与免疫系统之间的关系以及它们在健康和疾病中的作用,揭示这种二分法并确定免疫刺激细菌至关重要。IgA-SEQ 技术已成功地从粪便材料中鉴定出了具有免疫刺激作用的 IgA 包被细菌。然而,原始技术耗时长,下游应用有限。在本研究中,我们旨在开发一种下一代、高通量、基于磁铁的分选方法(ng-IgA-SEQ),以克服原始 IgA-SEQ 方案的局限性:结果:我们在从简单的细菌混合物到人类粪便样本的各种复杂环境中表明,我们基于磁性 96 孔板的 ng-IgA-SEQ 方案能以高通量和省时的方式高效分拣和鉴定 IgA 包被细菌。此外,我们还对不同的 IgA-SEQ 方案进行了比较分析,结果表明,最初基于 FACS 的 IgA-SEQ 方法由于分选细菌的产量较低而忽略了 IgA 包被细菌的某些细微差别。此外,基于磁性的 ng-IgA-SEQ 还可用于新型下游应用。首先,作为概念验证,我们对 10 份人类粪便样本进行了元基因组枪式测序,以确定 IgA 包被细菌菌株及相关途径和 CAZymes。其次,我们通过在厌氧条件下执行分离方案,成功分离并培养了IgA包被菌:结论:我们基于磁性 96 孔板的高通量新一代 IgA-SEQ 技术能从粪便样本中有效鉴定出大量 IgA 包被菌。这为分析大型群体以及新型下游应用(包括散弹枪元基因组测序、培养组学和各种功能测定)铺平了道路。这些下游应用对于揭示免疫刺激细菌在健康和疾病中的作用至关重要。视频摘要。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Next-generation IgA-SEQ allows for high-throughput, anaerobic, and metagenomic assessment of IgA-coated bacteria.

Background: The intestinal microbiota plays a significant role in maintaining systemic and intestinal homeostasis, but can also influence diseases such as inflammatory bowel disease (IBD) and cancer. Certain bacterial species within the intestinal tract can chronically activate the immune system, leading to low-grade intestinal inflammation. As a result, plasma cells produce high levels of secretory antigen-specific immunoglobulin A (IgA), which coats the immunostimulatory bacteria. This IgA immune response against intestinal bacteria may be associated with the maintenance of homeostasis and health, as well as disease. Unraveling this dichotomy and identifying the immunostimulatory bacteria is crucial for understanding the relationship between the intestinal microbiota and the immune system, and their role in health and disease. IgA-SEQ technology has successfully identified immunostimulatory, IgA-coated bacteria from fecal material. However, the original technology is time-consuming and has limited downstream applications. In this study, we aimed to develop a next-generation, high-throughput, magnet-based sorting approach (ng-IgA-SEQ) to overcome the limitations of the original IgA-SEQ protocol.

Results: We show, in various settings of complexity ranging from simple bacterial mixtures to human fecal samples, that our magnetic 96-well plate-based ng-IgA-SEQ protocol is highly efficient at sorting and identifying IgA-coated bacteria in a high-throughput and time efficient manner. Furthermore, we performed a comparative analysis between different IgA-SEQ protocols, highlighting that the original FACS-based IgA-SEQ approach overlooks certain nuances of IgA-coated bacteria, due to the low yield of sorted bacteria. Additionally, magnetic-based ng-IgA-SEQ allows for novel downstream applications. Firstly, as a proof-of-concept, we performed metagenomic shotgun sequencing on 10 human fecal samples to identify IgA-coated bacterial strains and associated pathways and CAZymes. Secondly, we successfully isolated and cultured IgA-coated bacteria by performing the isolation protocol under anaerobic conditions.

Conclusions: Our magnetic 96-well plate-based high-throughput next-generation IgA-SEQ technology efficiently identifies a great number of IgA-coated bacteria from fecal samples. This paves the way for analyzing large cohorts as well as novel downstream applications, including shotgun metagenomic sequencing, culturomics, and various functional assays. These downstream applications are essential to unravel the role of immunostimulatory bacteria in health and disease. Video Abstract.

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来源期刊
Microbiome
Microbiome MICROBIOLOGY-
CiteScore
21.90
自引率
2.60%
发文量
198
审稿时长
4 weeks
期刊介绍: Microbiome is a journal that focuses on studies of microbiomes in humans, animals, plants, and the environment. It covers both natural and manipulated microbiomes, such as those in agriculture. The journal is interested in research that uses meta-omics approaches or novel bioinformatics tools and emphasizes the community/host interaction and structure-function relationship within the microbiome. Studies that go beyond descriptive omics surveys and include experimental or theoretical approaches will be considered for publication. The journal also encourages research that establishes cause and effect relationships and supports proposed microbiome functions. However, studies of individual microbial isolates/species without exploring their impact on the host or the complex microbiome structures and functions will not be considered for publication. Microbiome is indexed in BIOSIS, Current Contents, DOAJ, Embase, MEDLINE, PubMed, PubMed Central, and Science Citations Index Expanded.
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