1, which showed a similar diversity but distinct abundance of Ope

1, which showed a similar diversity but distinct abundance of Operational Taxonomic Units (OTUs) (Figure 1, Additional file 1: Table S1). This observation was confirmed by an Unweighted click here Pair Group Method with Arithmetic Mean (UPGMA) clustering analysis based on unweighted and weighted UniFrac distances (Figure 2). Sample LO4.1 from subject #4 was the only one that clustered far from the other samples from the same stool when both {Selleck Anti-cancer Compound Library|Selleck Anticancer Compound Library|Selleck Anti-cancer Compound Library|Selleck Anticancer Compound Library|Selleckchem Anti-cancer Compound Library|Selleckchem Anticancer Compound Library|Selleckchem Anti-cancer Compound Library|Selleckchem Anticancer Compound Library|Anti-cancer Compound Library|Anticancer Compound Library|Anti-cancer Compound Library|Anticancer Compound Library|Anti-cancer Compound Library|Anticancer Compound Library|Anti-cancer Compound Library|Anticancer Compound Library|Anti-cancer Compound Library|Anticancer Compound Library|Anti-cancer Compound Library|Anticancer Compound Library|Anti-cancer Compound Library|Anticancer Compound Library|Anti-cancer Compound Library|Anticancer Compound Library|Anti-cancer Compound Library|Anticancer Compound Library|buy Anti-cancer Compound Library|Anti-cancer Compound Library ic50|Anti-cancer Compound Library price|Anti-cancer Compound Library cost|Anti-cancer Compound Library solubility dmso|Anti-cancer Compound Library purchase|Anti-cancer Compound Library manufacturer|Anti-cancer Compound Library research buy|Anti-cancer Compound Library order|Anti-cancer Compound Library mouse|Anti-cancer Compound Library chemical structure|Anti-cancer Compound Library mw|Anti-cancer Compound Library molecular weight|Anti-cancer Compound Library datasheet|Anti-cancer Compound Library supplier|Anti-cancer Compound Library in vitro|Anti-cancer Compound Library cell line|Anti-cancer Compound Library concentration|Anti-cancer Compound Library nmr|Anti-cancer Compound Library in vivo|Anti-cancer Compound Library clinical trial|Anti-cancer Compound Library cell assay|Anti-cancer Compound Library screening|Anti-cancer Compound Library high throughput|buy Anticancer Compound Library|Anticancer Compound Library ic50|Anticancer Compound Library price|Anticancer Compound Library cost|Anticancer Compound Library solubility dmso|Anticancer Compound Library purchase|Anticancer Compound Library manufacturer|Anticancer Compound Library research buy|Anticancer Compound Library order|Anticancer Compound Library chemical structure|Anticancer Compound Library datasheet|Anticancer Compound Library supplier|Anticancer Compound Library in vitro|Anticancer Compound Library cell line|Anticancer Compound Library concentration|Anticancer Compound Library clinical trial|Anticancer Compound Library cell assay|Anticancer Compound Library screening|Anticancer Compound Library high throughput|Anti-cancer Compound high throughput screening| microbial composition and abundance were considered (weighted UniFrac

analysis, Figure 2B). Figure 1 Spatial organization of the microbial community (species level) in stool specimens. 250 mg of stool (N = 8) was collected in the outer (LO) and inner area (LI) layer and once the stool had been homogenised (LH). Stools were collected in duplicates for each condition. Figure 2 UPGMA clustering based on weighted (A) and unweighted UniFrac (B) distance analysis. 250 mg of stool (N = 8) was collected from the outer (LO) and inner (LI) layers and after the stool

had been homogenised (LH). Stools were collected in duplicates for each condition (48 samples in total). Unweighted UniFrac allows clustering by taking into account only the microbial composition, while weighted UniFrac considers both composition and abundance of OTUs. Effect Torin 2 mw of stool water content To evaluate how stool water content affects the microbial community, we analysed the 46 samples from four out of the eight participants, as described in the experimental design section above. After the extraction procedure, genomic DNA was loaded in an Agilent 2100 Bioanalyzer chip in order to evaluate integrity. A comparison of the DNA extracted from DL1 samples (presence

of beads and PBS) with those of DL1B’s (presence of beads but not PBS) showed that the addition of PBS caused greater genomic DNA degradation (Figure 3A). This finding was confirmed by a decrease in DNA size to lower than 10 Mbp with 125 mg of stool (sample DL1.50, Table 1) and 50% PBS. In contrast, in the absence of PBS this degradation was also observed but only when the stool weighed 62.5 mg (DL1B.75). Interestingly, we observed a double effect of stool water content and bead-beating when dealing with a small amount of stool matter. Figure 3 Effect of water content on genomic DNA integrity. (A) Gel electrophoresis Rebamipide analysis. For each sample, genomic DNA equivalent to 1 mg of faecal sample was loaded on an Agilent 2100 Bioanalyzer chip using the Agilent 12000 kit. DL1 corresponds to participant L1 from the homogenisation evaluation. (B) Microbial diversity at the species level. The taxonomic analysis was performed using a cut-off of 97% similarity. The “#” followed by a number indicates an arbitrary identifier for an unknown OTUs. Although the presence of PBS could increase the degradation of genomic DNA, the microbial community profile was not affected at the species level (Figure 3B).

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