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      Optimizing the quality of clinical studies on oral microbiome: A practical guide for planning, performing, and reporting

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          Abstract

          With this review, we aim to increase the quality standards for clinical studies with microbiome as an output parameter. We critically address the existing body of evidence for good quality practices in oral microbiome studies based on 16S rRNA gene amplicon sequencing. First, we discuss the usefulness of microbiome profile analyses. Is a microbiome study actually the best approach for answering the research question? This is followed by addressing the criteria for the most appropriate study design, sample size, and the necessary data (study metadata) that should be collected. Next, we evaluate the available evidence for best practices in sample collection, transport, storage, and DNA isolation. Finally, an overview of possible sequencing options (eg, 16S rRNA gene hypervariable regions, sequencing platforms), processing and data interpretation approaches, as well as requirements for meaningful data storage, sharing, and reporting are provided.

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          Most cited references227

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          Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2

          In comparative high-throughput sequencing assays, a fundamental task is the analysis of count data, such as read counts per gene in RNA-seq, for evidence of systematic changes across experimental conditions. Small replicate numbers, discreteness, large dynamic range and the presence of outliers require a suitable statistical approach. We present DESeq2, a method for differential analysis of count data, using shrinkage estimation for dispersions and fold changes to improve stability and interpretability of estimates. This enables a more quantitative analysis focused on the strength rather than the mere presence of differential expression. The DESeq2 package is available at http://www.bioconductor.org/packages/release/bioc/html/DESeq2.html. Electronic supplementary material The online version of this article (doi:10.1186/s13059-014-0550-8) contains supplementary material, which is available to authorized users.
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            DADA2: High resolution sample inference from Illumina amplicon data

            We present DADA2, a software package that models and corrects Illumina-sequenced amplicon errors. DADA2 infers sample sequences exactly, without coarse-graining into OTUs, and resolves differences of as little as one nucleotide. In several mock communities DADA2 identified more real variants and output fewer spurious sequences than other methods. We applied DADA2 to vaginal samples from a cohort of pregnant women, revealing a diversity of previously undetected Lactobacillus crispatus variants.
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              QIIME allows analysis of high-throughput community sequencing data.

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                Author and article information

                Contributors
                e.zaura@acta.nl
                Journal
                Periodontol 2000
                Periodontol 2000
                10.1111/(ISSN)1600-0757
                PRD
                Periodontology 2000
                John Wiley and Sons Inc. (Hoboken )
                0906-6713
                1600-0757
                23 November 2020
                February 2021
                : 85
                : 1 ( doiID: 10.1111/prd.v85.1 )
                : 210-236
                Affiliations
                [ 1 ] Department of Preventive Dentistry Academic Centre for Dentistry Amsterdam (ACTA) Vrije Universiteit Amsterdam and University of Amsterdam Amsterdam the Netherlands
                Author notes
                [*] [* ] Correspondence

                Egija Zaura, Department of Preventive Dentistry, Academic Centre for Dentistry Amsterdam (ACTA), Vrije Universiteit Amsterdam and University of Amsterdam, Gustav Mahlerlaan 3004, 1081 LA Amsterdam, the Netherlands.

                Email: e.zaura@ 123456acta.nl

                Article
                PRD12359
                10.1111/prd.12359
                7756869
                33226702
                9b045ffe-ef8b-485c-9d75-ead36fff64e2
                © 2020 The Authors. Periodontology 2000 published by John Wiley & Sons Ltd.

                This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

                History
                Page count
                Figures: 4, Tables: 8, Pages: 26, Words: 22208
                Categories
                Review Article
                Review Articles
                Custom metadata
                2.0
                February 2021
                Converter:WILEY_ML3GV2_TO_JATSPMC version:5.9.6 mode:remove_FC converted:23.12.2020

                16s rdna amplicon sequencing,clinical study design,dental plaque,metadata,microbiome,saliva

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