ArticlePloS one2013
A new method for extracting skin microbes allows metagenomic analysis of whole-deep skin.
Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
11 citing papers in PubMed, 25 citations in OpenAlex.
- Why Are Long-Read Sequencing Methods Revolutionizing Microbiome Analysis?Microorganisms · 2025Review
- Skin Microbial Composition and Genetic Mutation Analysis in Precision Medicine for Epidermolysis Bullosa.Current drug targets · 2024Review
- Surviving the host: Microbial metabolic genes required for growth ofFrontiers in microbiology · 2022Article
- Metagenomic Studies in Inflammatory Skin Diseases.Current microbiology · 2020Review
- The promise and challenge of cancer microbiome research.Genome biology · 2020Review
- Whole metagenome profiling reveals skin microbiome-dependent susceptibility to atopic dermatitis flare.Nature microbiology · 2016Article
- Recovering full-length viral genomes from metagenomes.Frontiers in microbiology · 2015Review
- Consistency of metagenomic assignment programs in simulated and real data.BMC bioinformatics · 2014Article
- Assembly of viral genomes from metagenomes.Frontiers in microbiology · 2014Article
- An introduction to the analysis of shotgun metagenomic data.Frontiers in plant science · 2014Review
- The skin microbiome: from historical ecology to therapeutic frontiers.Anais brasileiros de dermatologiaReview
Corrections and comments
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Authors and funding
5 authors at 4 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In the last decade, an extensive effort has been made to characterize the human microbiota, due to its clinical and economic interests. However, a metagenomic approach to the skin microbiota is hampered by the high proportion of host DNA that is recovered. In contrast with the burgeoning field of gut metagenomics, skin metagenomics has been hindered by the absence of an efficient method to avoid sequencing the host DNA. We present here a method for recovering microbial DNA from skin samples, based on a combination of molecular techniques. We have applied this method to mouse skin, and have validated it by standard, quantitative PCR and amplicon sequencing of 16S rRNA. The taxonomic diversity recovered was not altered by this new method, as proved by comparing the phylogenetic structure revealed by 16S rRNA sequencing in untreated vs. treated samples. As proof of concept, we also present the first two mouse skin metagenomes, which allowed discovering new taxa (not only prokaryotes but also viruses and eukaryots) not reachable by 16S rRNA sequencing, as well as to characterize the skin microbiome functional landscape. Our method paves the way for the development of skin metagenomics, which will allow a much deeper knowledge of the skin microbiome and its relationship with the host, both in a healthy state and in relation to disease.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.