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We restricted this analysis to the 20 most variable miRNAs.
For this task we used the 100 most variable miRNAs out of the 848 miRNAs.
Here, CD3, CD15 and CD56 positive cells reached correlation of 0.98, CD14 positive cells and PAXgene whole blood reached average correlation of 0.97, CD19 positive cells showed lowest but still substantial correlation of 0.96.To understand how the different cell populations are related to each other we applied hierarchical clustering on the 50 most variable miRNAs.
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Unsupervised hierarchical clustering based on the most variable 87 miRNAs (with standard deviation ≥ 0.75) revealed two prominent cell line clusters: a minor cluster that included 18 cell lines and a major cluster that included 33 cell lines.
We first noted that the expression of snoRNAs was highly variable in cancer, with similar ranges of values to some of the most varying miRNAs.
Among the 87 most-variable expressed miRNAs across the entire panel, a group of 15 miRNAs (hsa-miR-130a, hsa-miR-886-5p, hsa-miR-886-3p hsa-miR-886-3p hsa-miR-886-3p hsa-miR-886-3pmiR-23a, hsa-miR-222 hsa-miR-21*, hsa-miR-29a, hsa-miR-23a hsa-miR-242-3p, hsa-miR-30a, hsa-miR-27ab, hsa-miR-221) was significantly higher expressed in the minor cluster as opposed to other miRNAs.
The vegetables are the most variable of variables, both in terms of kind and quantity.
Position A437 was the most variable (14%).
The DBL6ε domain is the most variable.
Most variables are self explanatory.
These highly conserved families, which generally have the most abundant miRNAs, have variable numbers of loci among the model legumes G. max and M. truncatula (Table 4) (miRBase, release 16).
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