MicroRNAs and Robustness in Biological Regulatory Networks. A Generic Approach with Applications at Different Levels: Physiologic, Metabolic, and Genetic - Systems Biology of Metabolic and Signaling Networks - page 94

miR-143 Dengue 2 3- 10 1 10 147 138 tgagctacag tgagctacag

miR-143 Dengue 2 3- 11 12 22 280 270 gcttcatctca gcttcatctca

3 3- 7 8 14 273 267 cagtgct cagtgct

miR-143 Dengue

miR-143 Dengue 4 3- 9 2 10 82 74 gagctacag gagctacag

miR-143 Japanese encephalitis - 5+ 7 14 20 6 12 ttcatct ttcatct

miR-143 Japanese encephalitis - 3- 10 12 21 252 243 gcttcatctc gcttcatctc

miR-143 Japanese encephalitis rAT 3- 7 3 9 558 552 agctaca agctaca

Japanese encephalitis - 5+ 7 7 13 63 69 acagtgc acagtgc

miR-143

Fig. 4.17 Sequences viewing perfect matches between nuclear microRNA hsa-miR-143 with
viral genomes

Table 4.15 Sequences showing anti-matches between nuclear microRNA hsa-miR-143 with viral
genomes

Table 4.16 Sequences alignment of nuclear miRNAs with pb1-5 H1N1 influenza A gene
(Raver-Shapira et al. 2007 ; Kohn et al. 2006 ; Weibel et al. 1991 )

role we have already commented of p53 in the dual regulation of the apoptosis
versus proliferation processes is probably the main origin of its major influence in
carcinogenesis and tumor-suppression, depending on its up- or downregulation by
microRNAs.

4.5.3 Pathological Role in Infectious Diseases

MicroRNAs are closely related to viral genomes (He et al. 2009 ; Song et al. 2010 ;
Li et al. 2011 ; Koparde and Singh 2010 ; Cullen 2010 ; Wang et al. 2009 ) due to a
long co-evolution between hosts, vectors, and pathogens. In Table 4.15 and