Transient Frequency Preference in simple Cell Motifs

ROCIO BALDERRAMA; CONSTANZA SANCHEZ DE LA VEGA; JULIANA REVES SZEMERE; ALEJANDRA VENTURA

Congreso; StatPhys; 2019

In manybiological contexts it is important to understand how the cellsignaling system responds to time-dependent inputs. Signalingpathways stimulated by inputs that change rapidly over time need toprocess a significant amount of information. How much informationthey can process per unit of time is proportional to itsbandwidth, which is determined by measuring the system?sresponse to fluctuating signals at differentfrequencies. The larger the bandwidth of a pathway, the shorterits response time and the more accurately they respond to a rapidlyvarying signal. Thefocus of the work presented here is to identify conditions for whichsimple signaling topologies can optimize a given response at certainintermediate input frequencies, where by optimizing we mean,for example, maximizing the production or the level ofactivation of a protein at these frequencies. We refer tothis optimization as frequency encoding. Frequencyencoding is typically measured in quasi steady-state (long lastingpulsatile signals). By using a combined computational and theoreticalapproach, we show that resonance can be obtained for pulsatile inputsignals that are active for a short number of periods as comparedwith the time scale of the signaling component processing that input.We call this effect transient frequency preference (TFP) since thesystems we consider do not exhibit resonance when using long lastingpulsatile signal. TFP also emerges for the same signaling system,with the long lasting pulsatile signal, provided that the downstreamsingling components are fast enough to read pre-steady-stateinformation.p { margin-bottom: 0.25cm; border: none; padding: 0cm; direction: ltr; line-height: 120%; text-align: left; orphans: 2; widows: 2 }