Fig. 1: Landscape of microbial content in circulation. | Nature Communications

Fig. 1: Landscape of microbial content in circulation.

From: Circulating microbial content in myeloid malignancy patients is associated with disease subtypes and patient outcomes

Fig. 1

a Barplot showing total numbers of reads for each of the three kingdoms. b t-SNE plot colored by case/control status (controls shown as black triangles) and disease subtype. c Bray–Curtis dissimilarity measures, on the genus level, based for all case-control pairs (left, n = 22,440 comparisons) and all pairs of control samples (right, n = 66 comparisons). In boxplots, bounds of box indicate first and third quartiles, center line indicates median, and whiskers extend to (first quartile −1.5 × IQR) and (third quartile +1.5 × IQR) or extrema, whichever is less extreme (here IQR = interquartile range, i.e. third quartile−first quartile). P-value computed using two-sided Wilcoxon test. d Heatmap representing the average of all Bray–Curtis dissimilarity measures between sample pairs from the indicated groups. Squares are colored according to rank in the row (yellow = most similar, blue = least similar). e The first two principal coordinates, on the genus level, colored by disease subtype as in panel (b). For clarity, two outliers (an MDS patient and an AML patient) are omitted. f Mosaic plot indicating the proportion of the patient cohort in each cluster/subtype pair. The area of each rectangle (colored by subtype) is proportional to the number of patients in the corresponding subtype and cluster. P-value from chi-squared test. g Barplots indicating proportion of patients, within each principal coordinate cluster, with complex karyotype, normal karyotype, and trisomy 8. P-values from two-sided logistic regression-based test. tSNE t-distributed stochastic neighbor embedding, PCo principal coordinate.

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