Plasma long noncoding RNA expression profile identified by microarray in patients with Crohn's disease

作     者：Dong Chen Jiang Liu Hui-Ying Zhao Yi-Peng Chen Zun Xiang Xi Jin 

作者机构：Department of Colorectal Surgery the First Affiliated Hospital College of Medicine Zhejiang University Department of Gastroenterology Huzhou Central Hospital Department of Gastroenterology the First Affiliated Hospital College of Medicine Zhejiang University 

出 版 物：《World Journal of Gastroenterology》 (世界胃肠病学杂志（英文版）)

年 卷 期：2016年第22卷第19期

页      面：4716-4731页

核心收录：

学科分类：1002[医学-临床医学] 100201[医学-内科学(含：心血管病、血液病、呼吸系病、消化系病、内分泌与代谢病、肾病、风湿病、传染病)] 10[医学] 

基　　金：Supported by National Natural Science Foundation of China,No.81370008 and No.81000169 Natural Science Foundation of Zhejiang Province,No.R2110159,No.LY15H030006 and No.LY16H030003 Science Technology Project of Zhejiang Province,No.2014C33205 

主　　题：Crohn’ s disease Long noncoding RNA Inflammatory bowel disease Plasma Microarray 

摘      要：AIM: To investigate the expression pattern of plasma long noncoding RNAs (lncRNAs) in Chrohn’s disease (CD) ***: Microarray screening and qRT-PCR verification of lncRNAs and mRNAs were performed in CD and control subjects, followed by hierarchy clustering, GO and KEGG pathway analyses. Significantly dysregulated lncRNAs were categorized into subgroups of antisense lncRNAs, enhancer lncRNAs and lincRNAs. To predict the regulatory effect of lncRNAs on mRNAs, a CNC network analysis was performed and cross linked with significantly changed lncRNAs. The overlapping lncRNAs were randomly selected and verified by qRT-PCR in a larger ***: Initially, there were 1211 up-regulated and 777 down-regulated lncRNAs as well as 1020 up-regulated and 953 down-regulated mRNAs after microarray analysis; a heat map based on these results showed good categorization into the CD and control groups. GUSBP2 and { type : entrez-nucleotide , attrs :{ text : AF113016 , term_id : 6642755 , term_text : AF113016 }}AF113016 had the highest fold change of the up- and down-regulated lncRNAs, whereas TBC1D17 and CCL3L3 had the highest fold change of the up- and down-regulated mRNAs. Six (SNX1, CYFIP2, CD6, CMTM8, STAT4 and IGFBP7) of 10 mRNAs and 8 ({ type : entrez-nucleotide , attrs :{ text : NR_033913 , term_id : 299890801 , term_text : NR_033913 }}NR_033913, { type : entrez-nucleotide , attrs :{ text : NR_038218 , term_id : 333360887 , term_text : NR_038218 }}NR_038218, { type : entrez-nucleotide , attrs :{ text : NR_036512 , term_id : 302393555 , term_text : NR_036512 }}NR_036512, { type : entrez-nucleotide , attrs :{ text : NR_049759 , term_id : 388240827 , term_text : NR_049759 }}NR_049759, { type : entrez-nucleotide , attrs :{ text : NR_033951 , term_id : 300068996 , term_text : NR_033951 }}NR_033951, { type : entrez-nucleotide , attrs :{ text : NR_045408 , term_id : 354548835 , term_text : NR_045408 }}NR_045408, { type : entrez-nucleotide , attrs :{ text : NR_03