Modelado del procesamiento de información pulsátil por parte de las células y la aparición de resonancia

CONSTANZA FERNANDEZ SANCHEZ DE LA VEGA; ROCÍO BALDERRAMA; ALEJANDRA VENTURA; JULIANA REVES

Congreso; A systems approach to biology; 2018

In many biological contexts it is important to understand how the cell signalingsystem responds to time-dependent inputs. Signaling pathways stimulated by inputsthat change rapidly over time need to process a significant amount of information.How much information they can process per unit of time is proportional to itsbandwidth, which is determined by measuring the system?s response to fluctuatingsignals at different frequencies. The larger the bandwidth of a pathway, the shorterits response time and the more accurately they respond to a rapidly varyingsignal. The focus of the work presented here is to identify conditions for which simplesignaling topologies can optimize a given response at certain intermediate inputfrequencies, where by optimizing we mean, for example, maximizing the productionor the level of activation of a protein at these frequencies. We refer to thisoptimization as frequency encoding.Resonance is typically measured in quasi steady-state (long lasting pulsatilesignals). By using a combined computational and theoretical approach, we show thatresonance can be obtained for pulsatile input signals that are active for a shortnumber of periods as compared with the time scale of the signaling componentprocessing that input. We call this effect transient frequency preference (TFP)since the systems we consider do not exhibit resonance when using long lastingpulsatile signal. TFP also emerges for the same signaling system, with the longlasting pulsatile signal, provided that the downstream singling components are fastenough to read pre-steady-state information.