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Items: 5

1.
FIG 1 

FIG 1 . From: The Human Skin Microbiome Associates with the Outcome of and Is Influenced by Bacterial Infection.

Schematic of times for swab sampling chosen for processing prior to and following experimental inoculation with H. ducreyi.

Julia J. van Rensburg, et al. mBio. 2015 Sep-Oct;6(5):e01315-15.
2.
FIG 5 

FIG 5 . From: The Human Skin Microbiome Associates with the Outcome of and Is Influenced by Bacterial Infection.

Nonmetric multidimensional scaling using Bray-Curtis dissimilarity of OTUs detected in endpoint samples from resolved sites (R; n = 11) and pustule sites (P; n = 9) (P = 0.001, PERMANOVA). At the endpoint, pustule sites and sites within volunteers clustered.

Julia J. van Rensburg, et al. mBio. 2015 Sep-Oct;6(5):e01315-15.
3.
FIG 3 

FIG 3 . From: The Human Skin Microbiome Associates with the Outcome of and Is Influenced by Bacterial Infection.

Distribution of the 20 most abundant genera, other classified genera, and unclassified genera in resolvers (A) and pustule formers (B). All samples for which sequence data were obtained are shown; no sequences were obtained for the missing samples.

Julia J. van Rensburg, et al. mBio. 2015 Sep-Oct;6(5):e01315-15.
4.
FIG 4 

FIG 4 . From: The Human Skin Microbiome Associates with the Outcome of and Is Influenced by Bacterial Infection.

Nonmetric multidimensional scaling using Bray-Curtis dissimilarity of OTUs detected in preinfection samples from resolvers (R; n = 10) and pustule formers (P; n = 10) (P = 0.001, PERMANOVA). Samples that contained fewer than 450 sequence reads were excluded from the analysis. At preinfection, resolver sites and sites within volunteers clustered.

Julia J. van Rensburg, et al. mBio. 2015 Sep-Oct;6(5):e01315-15.
5.
FIG 2 

FIG 2 . From: The Human Skin Microbiome Associates with the Outcome of and Is Influenced by Bacterial Infection.

Distribution of the four dominant phyla in resolvers (A) and pustule formers (B) preinfection. Pie charts represent the percent proportions of each phylum across all days from the corrected sequence data, with averages and standard deviations shown for Actinobacteria, Firmicutes, Proteobacteria, and Bacteroidetes.

Julia J. van Rensburg, et al. mBio. 2015 Sep-Oct;6(5):e01315-15.

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