A biocomputational platform for the automated construction of large-scale mathematical models of miRNA-transcription factor networks for studies on gene dosage compensation
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Fecha
2016-11-09
Tipo
artículo original
Autores
Acón, Man Sai
Siles Canales, Francisco
Mora Rodríguez, Rodrigo Antonio
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Resumen
Cancer complexity and resistance is mediated by
cell-to-cell heterogeneity, which is the consequence of the
enormous instability of its genetic material. It is unknown how
cancer cells are able to withstand the effects of these
alterations, while normal cells are typically very sensitive. We
hypothesize that cancer requires specific type of stability to
survive the enormous chromosomal alterations. This stability
may be mediated by a group of genes, whose expression is
tightly regulated to maintain viability through a process called
gene dosage compensation. This mechanism could be
mediated by systems-level properties of complex networks of
microRNAs (miRNA) and transcription factors (TF),
regulating gene expression despite changes in copy number.
Therefore, we designed a biocomputational platform to
automatically construct large-scale mathematical models
regulating the expression of several candidate genes under
dosage compensation. This platform has a broader potential
application to other scientific questions involving miRNA and
TF networks.
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Palabras clave
MiRNAs, Gene dosage compensation, Cancer, Systems biology