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Stool Banking for Fecal Microbiota Transplantation: Methods and Operations at a Large Stool Bank.粪便银行用于粪便微生物群移植:大型粪便银行的方法和操作。
Front Cell Infect Microbiol. 2021 Apr 15;11:622949. doi: 10.3389/fcimb.2021.622949. eCollection 2021.
2
Donor Screening for Fecal Microbiota Transplantation.粪便微生物群移植的供体筛选
N Engl J Med. 2019 Nov 21;381(21):2070-2072. doi: 10.1056/NEJMc1913670. Epub 2019 Oct 30.
3
A library of human gut bacterial isolates paired with longitudinal multiomics data enables mechanistic microbiome research.人类肠道细菌分离株文库与纵向多组学数据配对,可实现基于机制的微生物组研究。
Nat Med. 2019 Sep;25(9):1442-1452. doi: 10.1038/s41591-019-0559-3. Epub 2019 Sep 2.
4
Microbiome predictors of dysbiosis and VRE decolonization in patients with recurrent infections in a multi-center retrospective study.一项多中心回顾性研究中复发性感染患者菌群失调及耐万古霉素肠球菌去定植的微生物组预测指标
AIMS Microbiol. 2019 Jan 17;5(1):1-18. doi: 10.3934/microbiol.2019.1.1. eCollection 2019.
5
Reproducible, interactive, scalable and extensible microbiome data science using QIIME 2.使用QIIME 2进行可重复、交互式、可扩展和可延伸的微生物组数据科学研究。
Nat Biotechnol. 2019 Aug;37(8):852-857. doi: 10.1038/s41587-019-0209-9.
6
American Gut: an Open Platform for Citizen Science Microbiome Research.美国肠道计划:一个用于公民科学微生物组研究的开放平台。
mSystems. 2018 May 15;3(3). doi: 10.1128/mSystems.00031-18. eCollection 2018 May-Jun.
7
Optimizing taxonomic classification of marker-gene amplicon sequences with QIIME 2's q2-feature-classifier plugin.利用 QIIME 2 的 q2-feature-classifier 插件优化标记基因扩增子序列的分类学分类。
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Deblur Rapidly Resolves Single-Nucleotide Community Sequence Patterns.Deblur能快速解析单核苷酸群落序列模式。
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9
Structure, function and diversity of the healthy human microbiome.健康人体微生物组的结构、功能与多样性。
Nature. 2012 Jun 13;486(7402):207-14. doi: 10.1038/nature11234.
10
Naive Bayesian classifier for rapid assignment of rRNA sequences into the new bacterial taxonomy.用于将rRNA序列快速分类到新细菌分类学中的朴素贝叶斯分类器。
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对来自通用粪便库供体的样本进行 16S rRNA 测序。

16S rRNA sequencing of samples from universal stool bank donors.

机构信息

OpenBiome, 2067 Massachusetts Ave, Cambridge, MA, 02140, USA.

出版信息

BMC Res Notes. 2021 Mar 23;14(1):108. doi: 10.1186/s13104-021-05520-z.

DOI:10.1186/s13104-021-05520-z
PMID:33757553
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7988957/
Abstract

OBJECTIVES

Universal stool banks provide stool to physicians for use in treating recurrent Clostridioides difficile infection via fecal microbiota transplantation. Stool donors providing the material are rigorously screened for diseases and disorders with a potential microbiome etiology, and they are likely healthier than the controls in most microbiome datasets. 16S rRNA sequencing was performed on samples from a selection of stool donors at a large stool bank, OpenBiome, to characterize their gut microbial community and to compare samples across different timepoints and sequencing runs.

DATA DESCRIPTION

16S rRNA sequencing was performed on 200 samples derived from 170 unique stool donations from 86 unique donors. Samples were sequenced on 11 different sequencing runs. We are making this data available because rigorously screened, likely very healthy stool donors may be useful for characterizing and understanding microbial community differences across different populations and will help shed light into the how the microbiome community promotes health and disease.

摘要

目的

通用粪便库为医生提供粪便,用于通过粪便微生物群移植治疗复发性艰难梭菌感染。提供材料的粪便捐赠者经过严格筛选,以排除具有潜在微生物组病因的疾病和障碍,并且他们可能比大多数微生物组数据集的对照组更健康。对大型粪便库 OpenBiome 中的一组粪便捐赠者的样本进行了 16S rRNA 测序,以描述他们的肠道微生物群落,并比较不同时间点和测序运行的样本。

数据描述

从 86 位独特供体的 170 个独特粪便捐赠中提取了 200 个样本进行了 16S rRNA 测序。样本在 11 个不同的测序运行中进行了测序。我们提供此数据,是因为经过严格筛选的、可能非常健康的粪便供体可能有助于描述和理解不同人群之间微生物群落的差异,并有助于了解微生物群落如何促进健康和疾病。