Table 1.
Statistical enrichment of MS-associated genes within each interactome.
Figure 1.
Heatmap from Ingenuity Pathway Analysis of each interactome.
Statistical significance (in –log[p-value] notation, where p<0.05 corresponds to a –log[p]>1.3) of the functional components in each interactome, as obtained through a Comparative Core-Analysis in IPA (Ingenuity Pathway Analysis). The functional components identified at the molecular and cellular level are presented row-wise (right); the interactomes are presented column-wise (bottom). Each cell in position (i,j) contains a number that represents in −log notation the strength of the association between the functional class i and the interactome j; this information is also color-matched with a color gradient that moves from white (−log[p] = 0.0, p = 1) to crimson (−log[p] = 50, p<10−50). Two hierarchical cluster analyses were employed to group functional classes that share similar patterns of associations across all interactomes (left-side clustering), and to group interactomes that share similar functional compositions (top-chart clustering).
Figure 2.
Heatmap from Ingenuity Pathway Analysis of MS-associated interactomes.
Statistical significance (in –log[p-value] notation, where p<0.05 corresponds to a –log[p]>1.3) of the functional components in each one of the three MS-associated interactomes (Table S3) computed by ALIGATOR (Association LIst Go AnnoTatOR) first flow process. These p-values were obtained through a Comparative Core-Analysis in IPA (Ingenuity Pathway Analysis). The functional components identified at the molecular and cellular level are presented row-wise; the interactome sub-sets are presented column-wise. Each cell in position (i,j) contains a number that represents in −log notation the strength of the association between the functional class i and the interactome; this information is also color-matched with a color gradient that moves from white (−log[p] = 0.0, p = 1) to crimson (−log[p] = 14, p<10−14). Two hierarchical cluster analyses were employed to group functional classes that share similar patterns of associations across all interactome sub-sets (left-side clustering), and to group interactome sub-sets that share similar functional compositions (top-chart clustering).
Figure 3.
Histograms of functional class distribution of MS-associated interactomes.
The histograms show the strength of the association between each IPA functional class and the 3 MS-associated interactomes (EBV [A], HIV [B] and HBV [C]). For each functional class 3 values were derived according to its distribution before (Figure 1) and after (Figure 2, with and without MHC [Major histocompatibility complex]) the ALIGATOR (Association LIst Go AnnoTatOR) statistical analysis of association.