Adaptive response by state-dependent inactivation

被引:30
作者
Friedlander, Tamar [2 ,3 ]
Brenner, Naama [1 ,3 ]
机构
[1] Technion Israel Inst Technol, Dept Chem Engn, IL-32000 Haifa, Israel
[2] Technion Israel Inst Technol, Dept Phys, IL-32000 Haifa, Israel
[3] Technion Israel Inst Technol, Lab Network Biol Res, IL-32000 Haifa, Israel
关键词
adaptation; feedback; signal-processing; biochemical networks; SIGNAL-TRANSDUCTION; BACTERIAL CHEMOTAXIS; DYNAMICS; ADAPTATION; TIME; RECEPTORS; MODEL;
D O I
10.1073/pnas.0902146106
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Many membrane channels and receptors exhibit adaptive, or desensitized, response to a strong sustained input stimulus. A key mechanism that underlies this response is the slow, activity-dependent removal of responding molecules to a pool which is unavailable to respond immediately to the input. This mechanism is implemented in different ways in various biological systems and has traditionally been studied separately for each. Here we highlight the common aspects of this principle, shared by many biological systems, and suggest a unifying theoretical framework. We study theoretically a class of models which describes the general mechanism and allows us to distinguish its universal from system-specific features. We show that under general conditions, regardless of the details of kinetics, molecule availability encodes an averaging over past activity and feeds back multiplicatively on the system output. The kinetics of recovery from unavailability determines the effective memory kernel inside the feedback branch, giving rise to a variety of system-specific forms of adaptive response-precise or input-dependent, exponential or power-law-as special cases of the same model.
引用
收藏
页码:22558 / 22563
页数:6
相关论文
共 32 条
[1]   Robustness in simple biochemical networks [J].
Barkai, N ;
Leibler, S .
NATURE, 1997, 387 (6636) :913-917
[2]  
BASSINGTHWAIGHT.JB, 1994, FRACTIONAL PHYSL
[3]   Mathematical and computational analysis of adaptation via feedback inhibition in signal transduction pathways [J].
Behar, Marcelo ;
Hao, Nan ;
Dohlman, Henrik G. ;
Elston, Timothy C. .
BIOPHYSICAL JOURNAL, 2007, 93 (03) :806-821
[4]   Feedback loops shape cellular signals in space and time [J].
Brandman, Onn ;
Meyer, Tobias .
SCIENCE, 2008, 322 (5900) :390-395
[5]   Reverse engineering of biological complexity [J].
Csete, ME ;
Doyle, JC .
SCIENCE, 2002, 295 (5560) :1664-1669
[6]   Adaptive dynamics with a single two-state protein [J].
Csikasz-Nagy, Attila ;
Soyer, Orkun S. .
JOURNAL OF THE ROYAL SOCIETY INTERFACE, 2008, 5 :S41-S47
[7]   Homeostatic control of neural activity: From phenomenology to molecular design [J].
Davis, Graeme W. .
ANNUAL REVIEW OF NEUROSCIENCE, 2006, 29 :307-323
[8]   Engineering aspects of enzymatic signal transduction: Photoreceptors in the retina [J].
Detwiler, PB ;
Ramanathan, S ;
Sengupta, A ;
Shraiman, BI .
BIOPHYSICAL JOURNAL, 2000, 79 (06) :2801-2817
[9]   Models and properties of power-law adaptation in neural systems [J].
Drew, Patrick J. ;
Abbott, L. F. .
JOURNAL OF NEUROPHYSIOLOGY, 2006, 96 (02) :826-833
[10]   G protein-coupled receptor adaptation mechanisms [J].
Ferguson, SSG ;
Caron, MG .
SEMINARS IN CELL & DEVELOPMENTAL BIOLOGY, 1998, 9 (02) :119-127