Can Complex Cellular Processes be Governed by Simple Linear Rules?

نویسندگان

  • Kumar Selvarajoo
  • Masaru Tomita
  • Masa Tsuchiya
چکیده

Complex living systems have shown remarkably well-orchestrated, self-organized, robust, and stable behavior under a wide range of perturbations. However, despite the recent generation of high-throughput experimental datasets, basic cellular processes such as division, differentiation, and apoptosis still remain elusive. One of the key reasons is the lack of understanding of the governing principles of complex living systems. Here, we have reviewed the success of perturbation-response approaches, where without the requirement of detailed in vivo physiological parameters, the analysis of temporal concentration or activation response unravels biological network features such as causal relationships of reactant species, regulatory motifs, etc. Our review shows that simple linear rules govern the response behavior of biological networks in an ensemble of cells. It is daunting to know why such simplicity could hold in a complex heterogeneous environment. Provided physical reasons can be explained for these phenomena, major advancement in the understanding of basic cellular processes could be achieved.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Multi-physics Modeling Using Cellular Automata

This paper proposes a new modeling and solution method that is relatively simple yet powerful enough to handle complex multi-physics problems. The new methodology is based on a combination of cellular automata, finite difference, and analytical analysis concepts. The basic idea is to construct a cascading sequence of simple, explicit rules of evolution, rather than attempt to solve complicated ...

متن کامل

Complex Automata as a Novel Conceptual Framework for Modeling Biomedical Phenomena

We show that the complex automata (CxA) paradigm can serve as a robust general framework which can be applied for developing advanced models of biological systems. CxA integrates particle method (PM) and cellular automata (CA) computational techniques. Instead of developing complicated multi-scale models which consist of many submodels representing various scales coupled by a scales-bridging me...

متن کامل

Edge Detection Based On Nearest Neighbor Linear Cellular Automata Rules and Fuzzy Rule Based System

 Edge Detection is an important task for sharpening the boundary of images to detect the region of interest. This paper applies a linear cellular automata rules and a Mamdani Fuzzy inference model for edge detection in both monochromatic and the RGB images. In the uniform cellular automata a transition matrix has been developed for edge detection. The Results have been compared to the ...

متن کامل

Multi-physics Modeling of Tribological Processes Using Cellular Automata

Tribology is in every sense of the word multidisciplinary. A multitude of different physical processes can occur simultaneously, often over widely varying time and length scales. The contact region between sliding bodies is a particularly interesting area, where thermal, mechanical, chemical, and electrical affects all play a role and interact in complex ways. Often our understanding of these p...

متن کامل

Edge Detection Based On Nearest Neighbor Linear Cellular Automata Rules and Fuzzy Rule Based System

 Edge Detection is an important task for sharpening the boundary of images to detect the region of interest. This paper applies a linear cellular automata rules and a Mamdani Fuzzy inference model for edge detection in both monochromatic and the RGB images. In the uniform cellular automata a transition matrix has been developed for edge detection. The Results have been compared to the ...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:
  • Journal of bioinformatics and computational biology

دوره 7 1  شماره 

صفحات  -

تاریخ انتشار 2009