Alberto Risueño Pérez - Gredos - Universidad de Salamanca

log 10 2-ΔCt
-2.00
-4.00
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-8.00
miR-1
MM with t (14;16) NPC
and differentially expressed genes to discriminate only significant
deregulated genes that are putative targets of the miRNAs
associated to MM. Finally, we carried out a statistical correlation
analysis between the raw expression levels of the MMderegulated
miRNAs and the MM-deregulated target genes
log 10 2-ΔCt
-2.00
-4.00
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-8.00
MM with t (14;16)
miR-133a
Figure 1 Box plot representation of the normalized expression of miR-1 and miR-133a in MM with t(14;16) and normal PC (qo0.0001).
Relative expression level
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4.00
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t(14;16) t(11;14)
miR-1
P=0.002 (Kruskal-Wallis test)
t(4;14)
Del RB
Normal
microRNAs in myeloma
NC Gutiérrez et al
4.00
3.00
2.00
1.00
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t(14;16) t(11;14)
miR-133a
t(4;14)
NPC
P=0.003 (Kruskal-Wallis test)
Figure 2 Box plot representation of the normalized expression of miR-1 and miR-133a in MM with t(14;16) compared with the other cytogenetic
groups.
Figure 3 Result of the Global Test algorithm applied to all the MM samples (the sample with monosomy 13 and P53 deletion was not considered).
This algorithm shows how each individual sample agrees with the miRNA signature found for MM and constituted by the 49 significant miRNAs.
The units in the ‘influence plot’ mark the s.d. of the influence in the samples with respect to the null hypothesis (Po0.001).
Del RB
Normal
selected. Because of miRNAs function as negative regulators, we
selected the significant inverse correlations. The target genes for
the miRNAs specifically deregulated in MM with t(4;14),
t(14;16), t(11;14) and with monosomy 13 as a unique
abnormality are shown in Supplementary Tables 1, 2, 3 and 4,
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Leukemia