Sensitivity Regulation based on Noise Propagation in Stochastic Reaction   Networks
  In this work we focus on how noise propagates in biochemical reaction networks and affects sensitivities of the system. We discover that the stochastic fluctuations can enhance sensitivities in one region of the value of control parameters by reducing sensitivities in another region. Based on this compensation principle, we designed a concentration detector in which enhanced amplification is achieved by an incoherent feedforward reaction network. 
Kyung Hyuk Kim, Hong Qian, and Herbert M. Sauro