Study of Intestinal Obstruction Caused by Intestinal Adhesion on The Gene Level_CHINESE JOURNAL OF BASES AND CLINICS IN GENERAL SURGERY

Authors：

YAN Lubin ¹ , CUI Hongbin ¹ , LI Binde ¹ , LI Laiyuan ¹ , LI Gang ¹ , BING Zhitong ² ,  SHEN Yang ¹

1.Department of General Surgery， The Second Hospital of Lanzhou University， Lanzhou 730030， Gansu Province， China;;
2.Institute of Modern Physics， Chinese Academy of Sciences， Lanzhou 730000， Gansu Province， China;

Corresponding author：

SHEN Yang, Email: shenyang@lzu.edu.cn

Keywords：

Intestinal obstruction; Gene array; Gene ontology analysis; Gene expression omnibus database

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Abstract Full text Figures/Tables Video References Cited by

Objective 　To explore the pathogenesis of the level of gene and therapeutic target genes associated with intestinal obstruction by analyzing the differential expression gene.　
Methods 　The gene expression data that came from public database gene expression omnibus （GEO） which provided adhesion formation’ gene expression data on 1， 3， 7，and 14 days after operation （n=8） and normal intestinal tissues’ gene expression data （n=2） of mouse were collected. The gene function and differential expression of genes were analyzed by using gene ontology （GO） and significance analysis of microarray （SAM）.
Results 　There were a lot of response stimulated up-regulation of gene expression when occurrence of adhesion， and the products of these genes were distributed on cell membrane. The analysis results of gene expression at different time point after operation showed that expression up-regulated of Hmgcs 2 gene occurred on 3-14 days ofter operation and expression up-regulated of Stxbp 5 gene occurred on 14 days ofter operation.
Conclusions 　The adhesion formation may be closely associated with the genes of response to stimulus and the gene product in membrane. The Hmgcs 2 and Stxbp 5 genes may be closely associated with the occurrence of other diseases which induced by adhesion formation.This provides a basis for the discovery of potential therapeutic targets.

Citation： YAN Lubin,CUI Hongbin,LI Binde,LI Laiyuan,LI Gang,BING Zhitong,SHEN Yang. Study of Intestinal Obstruction Caused by Intestinal Adhesion on The Gene Level. CHINESE JOURNAL OF BASES AND CLINICS IN GENERAL SURGERY, 2013, 20(12): 1369-1373. doi: Copy

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1. Menzies D， Ellis H. Intestinal obstruction from adhesions—how big is the problem?[J]. Ann R Coll Surg Engl， 1990， 72(1)： 60-63.
2. 许龙堂，郑樟栋，曾天定，等. 小肠肿瘤并发症的诊断和治疗[J]. 中华普通外科杂志， 2003， 18(1)：28-30.
3. 王李，童卫东. 术后肠梗阻的发生机制研究进展[J]. 中国普外基础与临床杂志， 2011， 18(10)： 1114-1117.
4. 王甘露，侍立志，贺德，等. 术后粘连性不全性肠梗阻的非手术治疗[J]. 中国普外基础与临床杂志， 2011， 18(3)：286-289.
5. 胡孔旺，朱化刚，耿小平，等. 粘连性肠梗阻手术指征多因素分析[J]. 中国普外基础与临床杂志， 2010， 17(9)： 939-943.
6. Yu SL， Singh S， Chen HW， et al. Intra-abdominal adhesion formation induces anti-oxidative injury， enhances cell proliferation， and prevents complement-mediated lysis[J]. Wound Repair Regen， 2008， 16(3)：388-398.
7. Hu J， Xu J. Density based pruning for identification of differentially expressed genes from microarray data[J]. BMC Genomics，2010， 11(Suppl 2)：S3.
8. Rajski M， Vogel B， Baty F， et al. Global gene expression analysis of the interaction between cancer cells and osteoblasts to predict bone metastasis in breast cancer[J]. PLoS One， 2012， 7(1)：e29743.
9. Seita J， Sahoo D， Rossi DJ， et al. Gene Expression Commons：an open platform for absolute gene expression profiling[J]. PLoS One， 2012， 7(7)：e40321.
10. Huang DW， Sherman BT， Lempicki RA. Systematic and integra-tive analysis of large gene lists using DAVID bioinformatics reso-urces[J]. Nat Protocols， 2008， 4(1)：44-57.
11. Ashburner M， Ball CA， Blake JA， et al. Gene ontology： tool for the unification of biology. The Gene Ontology Consortium[J]. Nat Genet， 2000， 25(1)：25-29.
12. Harris MA， Clark J， Ireland A， et al. The Gene Ontology (GO) database and informatics resource[J]. Nucleic Acids Res， 2004， 32(Database issue)：D258-D261.
13. Wu G， Feng X， Stein L. A human functional protein interaction network and its application to cancer data analysis[J]. Genome Biology， 2010， 11(5)：R53.
14. Wang F， Bing Z， Zhang Y， et al. Quantitative proteomic analysisfor radiation-induced cell cycle suspension in 92-1 melanoma cell line[J]. J Radiat Res， 2013， 54(4)：649-662.
15. Edgar R， Domrachev M， Lash AE. Gene Expression Omnibus：NCBI gene expression and hybridization array data repository[J].Nucleic Acids Res， 2002， 30(1)：207-210.
16. Barrett T， Troup DB， Wilhite SE， et al. NCBI GEO：mining tens of millions of expression profiles—database and tools update[J]. Nucleic Acids Res， 2007， 35(Database issue)：D760-D765.
17. Davis S， Meltzer PS. GEOquery： a bridge between the Gene Exp-ression Omnibus (GEO) and BioConductor[J]. Bioinformatics， 2007， 23(14)：1846-1847.
18. Zang S， Guo R， Zhang L， et al. Integration of statistical inferencemethods and a novel control measure to improve sensitivity and specificity of data analysis in expression profiling studies[J]. J Biomed Inform， 2007， 40(5)：552-560.
19. Saeed AI， Sharov V， White J， et al. TM4： a free， open-source system for microarray data management and analysis[J]. Biotec-hniques， 2003， 34(2)：374-378.
20. Huang da W， Sherman BT， Lempicki RA. Bioinformatics enric-hment tools：paths toward the comprehensive functional analysis of large gene lists[J]. Nucleic Acids Res， 2009， 37(1)：1-13.
21. Udeshi ND， Mani DR， Eisenhaure T， et al. Methods for quanti-fication of in vivo changes in protein ubiquitination following prote-asome and deubiquitinase inhibition[J]. Mol Cell Proteomics， 2012， 11(5)： 148-159.
22. Cao R， Chen K， Song Q， et al. Quantitative proteomic analysis of membrane proteins involved in astroglial differentiation ofneural stem cells by SILAC labeling coupled with LC-MS/MS[J]. J Proteome Res， 2011， 11(2)：829-838.
23. Zhang S. A comprehensive evaluation of SAM， the SAM R-package and a simple modification to improve its performance[J]. BMC Bioinformatics， 2007， 8：230.
24. Camarero N， Mascaró C， Mayordomo C， et al. Ketogenic HMGCS2 is a c-Myc target gene expressed in differentiated cells of human colonic epithelium and down-regulated in colon cancer[J]. Mol Cancer Res， 2006， 4(9)：645-653.
25. Maraqa L， Cummings M， Peter M， et al. P3 evaluating the expression of HMGCS2 in human breast cancer relapses[J]. Breast， 2007， 16 Suppl 1：S13.
26. Widberg CH， Bryant NJ， Girotti M， et al. Tomosyn interacts with the t-SNAREs syntaxin4 and SNAP23 and plays a role ininsulin-stimulated GLUT4 translocation[J]. J Biol Chem， 2003，278(37)：35093-35101.

CHINESE JOURNAL OF BASES AND CLINICS IN GENERAL SURGERY

Study of Intestinal Obstruction Caused by Intestinal Adhesion on The Gene Level

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