Analysis of cellular pathways and networks in terms of logic relations is important to decipher the networks of molecular interactions that underlie cellular function.A computational approach for identifying lower and higher order gene logic associations was presented on the base of graph coloring theory and applied it to the colon cancer mRNA microarray data.Then the logic relationships of 51 oncogenes and cancer suppressor genes are analyzed and the logic association network of them was constructed.The signal pathway of TGF? from the network model was found and verified by the colon cancer pathway of KEGG.The model reveals many higher order logic relationships of cancer genes.These relationships illustrate the complexities that arise in cancer cellular networks because of interacting pathways.The results show that this method is feasible and is expected to give a reference to the medical molecular biologist.

This paper focuses on a differential equation logistic model simulating tumor growth. We design a kind of tumor dynamic growth model with one-dimensional cellular automata. A discrete logistic model is developed from the continuous logistic model. Based on others' work, we design discrete mathematical growth dynamic model with cellular automaton. In terms of discrete model, we design stochastic evolving rules of cellular automaton. And this paper simulates the tumor growth dynamic model with cellular automata. The theoretic analysis and results of cellular automaton model are in agreement with data from the ideal differential equation logistic growth of cancer.
Algorithms ; Cell Division ; Computer Simulation ; Logistic Models ; Models, Biological ; Neoplasms ; pathology

To correctly classify EEG with different mental tasks, a new learning algorithm for Evolving Cascade Neural Networks (ECNNs) is described to avoid over-fitting of a neural network due to noise and redundant features. The learning algorithm calculates the value of a fitness function on validate set and accordingly updates the connection weights on training set. The learning algorithm uses the regularity criterion for selecting the neurons with relevant connection. If the value Cr calculated for the rth neuron is less than the value Cr-1 calculated for the previous (r-1) neuron, the features that feed the rth neuron are relevant, else they are irrelevant. An ECNN starts to learn with one input node and then, adding new inputs as well as new hidden neurons, evolves it. The trained ECNN has a nearly minimal number of input and hidden neurons as well as connections. The algorithm is applied to classify EEG with two mental tasks. The trained ECNN has correctly classified 83.1% of the testing segments. It shows a better result, compared with a standard BP network.
Algorithms ; Electroencephalography ; methods ; statistics & numerical data ; Humans ; Neural Networks (Computer) ; Signal Processing, Computer-Assisted

The interactions between endothelial cells (EC) and smooth muscle cells (SMC) contribute to vascular physiological functions and also cause the occurrence and development of different kinds of diseases. Currently, EC-SMC co-culture model is the best way to study the interactions between the two kinds of cells. This article summarizes existing EC-SMC co-culture models and their effects on the structure and functions of the two kinds of cells. Microscopically speaking, it provides a basis for in-depth studies on their interactions as well as a reference for the establishment of in vitro EC-SMC co-culture system that is closer to organic physiology or pathology state.
Animals ; Coculture Techniques ; methods ; Endothelial Cells ; cytology ; metabolism ; Humans ; Muscle, Smooth, Vascular ; cytology ; Myocytes, Smooth Muscle ; cytology ; metabolism

OBJECTIVETo observe the effect of Tiangou Jiangya capsule on isolated rabbit aortic strips, and to discuss its antihypertensive mechanism.

METHODThe isolated rabbit aortic strips were placed in perfusion baths, and induced to contract by norepinephrine (NE), KCl and CaCl2 respectively, then Tiangou Jiangya capsule extraction was added to observe its effect on the contraction. The effect on intracellular Ca2+ dependent contraction and extracellular Ca2+ dependent contraction induced by NE were also studied.

RESULTThe Tiangou Jiangya capsule (1, 3, 5 g x L(-1)) can reduce the largest contract reaction of aortic strips induced by NE or CaCl2 (P < 0.01). It can reduce both intracellular Ca2+ dependent contraction and extracellular Ca2+ dependent contraction induced by NE (P < 0.01), and the effect on extracellular Ca2+ dependent contraction is more significant. But the Tiangou Jiangya capsule has no significant effect on KCl induced contraction.

CONCLUSIONTiangou Jiangya capsule can regulate intracellular Ca2+ concentration and help to relax the vascular smooth muscle. The mechanism could be regulating the receptor-operated Ca2+ channel. The effect on extracellular Ca2+ dependent contraction is more obvious than on intracellular Ca2+ dependent contraction induced by NE.

Animals ; Antihypertensive Agents ; pharmacology ; Aorta ; drug effects ; Benzyl Alcohols ; pharmacology ; Blood Pressure ; drug effects ; Calcium Chloride ; pharmacology ; Diuresis ; drug effects ; Drugs, Chinese Herbal ; pharmacology ; Flavonoids ; pharmacology ; Furans ; pharmacology ; Glucosides ; pharmacology ; In Vitro Techniques ; Lignans ; pharmacology ; Male ; Muscle Contraction ; drug effects ; Muscle, Smooth, Vascular ; drug effects ; Norepinephrine ; pharmacology ; Potassium Chloride ; pharmacology ; Rabbits ; Renin-Angiotensin System ; drug effects ; Ventricular Function, Left ; drug effects