中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
首页 机构 成果 学者
  
  1. CAS IR Grid
  2. 上海营养与健康研究所
  3. 中国科学院上海生命科学研究院营养科学研究所
Differential networking meta-analysis of gastric cancer across Asian and American racial groups

文献类型：期刊论文

作者Dai, Wentao1,3,6; Li, Quanxue3; Li, Yi-Xue1,3,4,6; Li, Yuan-Yuan1,2,3,4,6; Li, Quanxue4; Liu, Bing-Ya5; Li, Yi-Xue2; ,
刊名BMC SYSTEMS BIOLOGY
出版日期2018
卷号12期号:-页码:51
关键词Gastric carcinoma (GC) Differential networking meta-analysis Cross-racial Conditional gene regulatory networks (GRN) Dysfunctional regulation mechanisms
ISSN号1752-0509
DOI10.1186/s12918-018-0564-z
文献子类Article; Proceedings Paper
英文摘要Background: Gastric Carcinoma is one of the most lethal cancer around the world, and is also the most common cancers in Eastern Asia. A lot of differentially expressed genes have been detected as being associated with Gastric Carcinoma (GC) progression, however, little is known about the underlying dysfunctional regulation mechanisms. To address this problem, we previously developed a differential networking approach that is characterized by involving differential coexpression analysis (DCEA), stage-specific gene regulatory network (GRN) modelling and differential regulation networking (DRN) analysis. Result: In order to implement differential networking meta-analysis, we developed a novel framework which integrated the following steps. Considering the complexity and diversity of gastric carcinogenesis, we first collected three datasets (GSE54129, GSE24375 and TCGA-STAD) for Chinese, Korean and American, and aimed to investigate the common dysregulation mechanisms of gastric carcinogenesis across racial groups. Then, we constructed conditional GRNs for gastric cancer corresponding to normal and carcinoma, and prioritized differentially regulated genes (DRGs) and gene links (DRLs) from three datasets separately by using our previously developed differential networking method. Based on our integrated differential regulation information from three datasets and prior knowledge (e.g., transcription factor (TF)-target regulatory relationships and known signaling pathways), we eventually generated testable hypotheses on the regulation mechanisms of two genes, XBP1 and GIF, out of 16 common cross-racial DRGs in gastric carcinogenesis. Conclusion: The current cross-racial integrative study from the viewpoint of differential regulation networking provided useful clues for understanding the common dysfunctional regulation mechanisms of gastric cancer progression and discovering new universal drug targets or biomarkers for gastric cancer.
学科主题Mathematical & Computational Biology
WOS关键词COMPREHENSIVE MOLECULAR CHARACTERIZATION ; EXPRESSION PROFILES ; CARBONIC ANHYDRASE-9 ; REGULATORY NETWORK ; GENES ; PROGRESSION ; SURVIVAL ; PROTEIN ; ADENOCARCINOMAS ; CARCINOGENESIS
语种英语
WOS记录号WOS:000430984100003
出版者BMC
版本出版稿
源URL[http://202.127.25.144/handle/331004/655]  
专题中国科学院上海生命科学研究院营养科学研究所
作者单位1.Shanghai Engn Res Ctr Pharmaceut Translat, 1278 Keyuan Rd, Shanghai 201203, Peoples R China;
2.Chinese Acad Sci, Shanghai Inst Biol Sci, CAS MPG Partner Inst Computat Biol, Key Lab Computat Biol, Shanghai 200031, Peoples R China,
3.Shanghai Ctr Bioinformat Technol, 1278 Keyuan Rd, Shanghai 201203, Peoples R China;
4.East China Univ Sci & Technol, Sch Biotechnol, Shanghai 200237, Peoples R China;
5.Shanghai Jiao Tong Univ, Ruijin Hosp, Shanghai Key Lab Gastr Neoplasms, Shanghai Inst Digest Surg,Sch Med, Shanghai 200025, Peoples R China;
6.Shanghai Ind Technol Inst, 1278 Keyuan Rd, Shanghai 201203, Peoples R China;
推荐引用方式
GB/T 7714		 Dai, Wentao,Li, Quanxue,Li, Yi-Xue,et al. Differential networking meta-analysis of gastric cancer across Asian and American racial groups[J]. BMC SYSTEMS BIOLOGY,2018,12(-):51.
APA Dai, Wentao.,Li, Quanxue.,Li, Yi-Xue.,Li, Yuan-Yuan.,Li, Quanxue.,...&,.(2018).Differential networking meta-analysis of gastric cancer across Asian and American racial groups.BMC SYSTEMS BIOLOGY,12(-),51.
MLA Dai, Wentao,et al."Differential networking meta-analysis of gastric cancer across Asian and American racial groups".BMC SYSTEMS BIOLOGY 12.-(2018):51.

入库方式： OAI收割

来源：上海营养与健康研究所

浏览0
下载0
收藏0
其他版本

除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。