A mathematical model as a tool to identify microRNAs with highest impact on transcriptome changes

BMC Genomics

Table 2 Features of miRNA subgroups with negative or positive ∆k_i , with Me45 cells as reference

Features	Me45 cells			Concordance in other cell lines
Features	Average over miRNAs with positive ∆k_i	Average over all miRNAs	Average over miRNAs with negative ∆k_i	K526	HCT116^+/+	HCT116^−/−
Length of pre-miRNA	86.02	86.55	87.18	+	–	–
Hairpin length	45.72	46.00	46.33	+	–	–
Length of mature miRNA	21.66	21.61	21.56	+	+	–
GC content in miRNA	54.59 ^b	52.60	50.24 ^b	+	–	+
GC content in seed motif	56.06 ^b	53.93	51.40 ^b	+	–	+
Number of targeted transcripts ^a	3807.92	3711.41	3597.03	+	+	+
Expression level (logarithmic)	4.43	4.52	4.63	+	+	+

^aAverage of values calculated for each single miRNA, based on targeted motifs obtained as described in Methods
^bBoldface numbers indicate statistically significant differences
Plus sign indicates concordance (i.e., sign of the difference of feature averaged over miRNAs with positive and negative ∆k_i, the same as in Me45 cells); minus sign – lack of concordance

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