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.
|