microRNAs, pivotal post-transcriptional regulators of gene expression, in the past decades have caught the attention of researchers for their involvement in different biological processes, ranging from cell development to cancer. Although lots of effort has been devoted to elucidate the topological features and the equilibrium properties of microRNA-mediated motifs, little is known about how the information encoded in frequency, amplitude, duration, and other features of their regulatory signals can affect the resulting gene expression patterns. Here, we review the current knowledge about microRNA-mediated gene regulatory networks characterized by time-dependent input signals, such as pulses, transient inputs, and oscillations. First, we identify the general characteristic of the main motifs underlying temporal patterns. Then, we analyze their impact on two commonly studied oncogenic networks, showing how their dysfunction can lead to tumorigenesis.

microRNA-Mediated Encoding and Decoding of Time-Dependent Signals in Tumorigenesis / Tealdi, Simone; Ferro, Elsi; Campa, Carlo Cosimo; Bosia, Carla. - ELETTRONICO. - 12:2(2022), p. 213. [10.3390/biom12020213]

microRNA-Mediated Encoding and Decoding of Time-Dependent Signals in Tumorigenesis

Tealdi, Simone;Ferro, Elsi;Campa, Carlo Cosimo;Bosia, Carla
2022

Abstract

microRNAs, pivotal post-transcriptional regulators of gene expression, in the past decades have caught the attention of researchers for their involvement in different biological processes, ranging from cell development to cancer. Although lots of effort has been devoted to elucidate the topological features and the equilibrium properties of microRNA-mediated motifs, little is known about how the information encoded in frequency, amplitude, duration, and other features of their regulatory signals can affect the resulting gene expression patterns. Here, we review the current knowledge about microRNA-mediated gene regulatory networks characterized by time-dependent input signals, such as pulses, transient inputs, and oscillations. First, we identify the general characteristic of the main motifs underlying temporal patterns. Then, we analyze their impact on two commonly studied oncogenic networks, showing how their dysfunction can lead to tumorigenesis.
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11583/2970260