CAJ | 학술논문

生命体内组织特异性基因往往在对应的组织中表现出高的共表达性，在组织特异性基因的调控中，非组织特异性的转录因子往往起很大作用，并且这些转录因子往往与特定的转录因子一起影响组织的特异性，因此研究组织特异性基因编码蛋白相互作用网络必须考虑非组织特异性蛋白的影响。本文提出了一种利用最短路径算法来计算组织特异性基因编码蛋白的关联蛋白，从而构建最大连接强度的组织特异性蛋白相互作用网络，并对其拓扑结构进行基因本体（ GO）、KEGG Pathway和疾病本体（ DO）的富集度分析。通过对肾脏组织中的1486个蛋白质及其相应的4011条蛋白质相互作用分析，发现绝大部分结构的功能与肾脏组织的功相吻合，同时也发现了几种比较有趣的表面上与肾脏组织无关的功能及疾病。
생명체내조직특이성기인왕왕재대응적조직중표현출고적공표체성，재조직특이성기인적조공중，비조직특이성적전록인자왕왕기흔대작용，병차저사전록인자왕왕여특정적전록인자일기영향조직적특이성，인차연구조직특이성기인편마단백상호작용망락필수고필비조직특이성단백적영향。본문제출료일충이용최단로경산법래계산조직특이성기인편마단백적관련단백，종이구건최대련접강도적조직특이성단백상호작용망락，병대기탁복결구진행기인본체（ GO）、KEGG Pathway화질병본체（ DO）적부집도분석。통과대신장조직중적1486개단백질급기상응적4011조단백질상호작용분석，발현절대부분결구적공능여신장조직적공상문합，동시야발현료궤충비교유취적표면상여신장조직무관적공능급질병。
In the living body , tissue-specific ( TS) genes often exhibit high co-expression in the cor-responding tissue .While in the regulation of the TS genes , the transcription factors ( TF) of non TS genes often play a significant role , and these TFs along with specific TFs contribute to the functional-ity of tissue specificity .Therefore , it is necessary to take into account of these non TS proteins when studying the interaction networks of proteins encoded by TS genes .A method is presented to build TS protein interaction networks incorporating non TS proteins with high connectivity by using the shortest path algorithm in this paper .Furthermore , enrichment analysis is performed using three knowledgebase ( Gene Ontology:GO;KEGG Pathway;and disease ontology: DO) on key compo-nents of above networks .From the analysis of 1 486 proteins and 4 ,011 corresponding protein inter-actions in the kidney tissue , it is found that functions of most clusters are consistent with their tissue origins.Meanwhile some interesting functionality and diseases that are not linked to kindey function are found .