Protein Network for Immune Response and Carcinogenic Process of Human Cells Infected by H. pylori
Suji Kang
Sir Winston Churchill
Floor Location : S 199 E

This project investigates the construction of biological and systematic network based on eclectic studies regarding complex inflammatory and carcinogenetic processes due to Helicobacter pylori. The newly constructed network follows scale-free distribution like other biological network and included proteins in immunity system and cellular signaling system. Proteins related to cell period, cell growth, and cell survival are investigated under BRICA1, FOS, JUN, AND VAV1. The network will be examined physically and mathematically. The accuracy of compounded data is verified by observing the H. pylori infected host cell reaction. Eventually, the constructed network is found out simulate and predict identical immunizing reaction and carcinogenic process. Overall, this network will be proved to be a great asset in diagnostic department. rnH. pylori infections and infected genes with significant changes (p-value <0.05) are researched from National Center of Biotechnology Information PubMed database. 80 types of genes in immunity system and cellular signaling system are selected in following table.rnNetwork is constructed using microarray-based database. Although the alterations shown in the database do not necessarily mean the exact protein altercation, two alterations are known to have a significant correlation. Therefore, this project assumes microarray-based interaction to be significant.rnThe group of genes that are significantly altered in the case of H.pylori infections is identified as group G. Proteins which correspond to the altered genes are found by inputting every gene in Group G in to Uniport database. Those proteins are called group P. Group Pi, which is consisted of proteins that interact with group P, and group Pe (which is consisted of proteins that do not belong in group P but have correlation with group P elements) are extracted scanning Human protein-protein interaction prediction database (PIPs). Interaction in Human Protein Reference Database (aka. HPRD) reference is selected as priorities and those without the HPRD reference are selected by automatic filter in PIPs server. Network is constructed using PAJEK, A CONSTRUCTIN PROGRAM FOR EXTENDED NETWORK OF EVERY PROTIEN INTERACTION. Among the interactions, important interaction and node are selected to create core network using Cytoscape. rnOverall this project demonstrates the similarities between the artificial protein interaction in the newly constructed network and natural biological occurrences. Such similarities prove that the network can simulate the exact models of the biological phenomena. Ergo, this network is able to illustrate the inflammatory and carcinogenic processes of H. pylori infections.rnrn