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Items: 1 to 20 of 284

1.

Identification of miRNA-miRNA synergistic relationships in colorectal cancer.

Zhao X, Song H, Zuo Z, Zhu Y, Dong X, Lu X.

Int J Biol Macromol. 2013 Apr;55:98-103. doi: 10.1016/j.ijbiomac.2012.12.006. Epub 2012 Dec 12.

PMID:
23246904
2.

MicroRNA mediated network and DNA methylation in colorectal cancer.

Li BQ, Yu H, Wang Z, Ding GH, Liu L.

Protein Pept Lett. 2013 Mar;20(3):352-63.

PMID:
22591477
3.

Identifying microRNA-mRNA regulatory network in colorectal cancer by a combination of expression profile and bioinformatics analysis.

Fu J, Tang W, Du P, Wang G, Chen W, Li J, Zhu Y, Gao J, Cui L.

BMC Syst Biol. 2012 Jun 15;6:68. doi: 10.1186/1752-0509-6-68.

4.

Characterization of global microRNA expression reveals oncogenic potential of miR-145 in metastatic colorectal cancer.

Arndt GM, Dossey L, Cullen LM, Lai A, Druker R, Eisbacher M, Zhang C, Tran N, Fan H, Retzlaff K, Bittner A, Raponi M.

BMC Cancer. 2009 Oct 20;9:374. doi: 10.1186/1471-2407-9-374.

5.

Comprehensive gene and microRNA expression profiling reveals the crucial role of hsa-let-7i and its target genes in colorectal cancer metastasis.

Zhang P, Ma Y, Wang F, Yang J, Liu Z, Peng J, Qin H.

Mol Biol Rep. 2012 Feb;39(2):1471-8. doi: 10.1007/s11033-011-0884-1. Epub 2011 May 29.

PMID:
21625861
6.

Identification of biological targets of therapeutic intervention for diabetic nephropathy with bioinformatics approach.

Wu T, Li Q, Wu T, Liu HY.

Exp Clin Endocrinol Diabetes. 2014 Nov;122(10):587-91. doi: 10.1055/s-0034-1382033. Epub 2014 Jul 8.

PMID:
25003364
7.

Integrated regulatory mechanisms of miRNAs and targeted genes involved in colorectal cancer.

Wang J, Yu H, Ye L, Jin L, Yu M, Lv Y.

Int J Clin Exp Pathol. 2015 Jan 1;8(1):517-29. eCollection 2015.

8.

Bioinformatics analyses combined microarray identify the desregulated microRNAs in lung cancer.

Guo WG, Zhang Y, Ge D, Zhang YX, Lu CL, Wang Q, Fan H.

Eur Rev Med Pharmacol Sci. 2013 Jun;17(11):1509-16.

9.

An in silico analysis of dynamic changes in microRNA expression profiles in stepwise development of nasopharyngeal carcinoma.

Luo Z, Zhang L, Li Z, Li X, Li G, Yu H, Jiang C, Dai Y, Guo X, Xiang J, Li G.

BMC Med Genomics. 2012 Jan 19;5:3. doi: 10.1186/1755-8794-5-3.

10.

Uncovering MicroRNA and Transcription Factor Mediated Regulatory Networks in Glioblastoma.

Sun J, Gong X, Purow B, Zhao Z.

PLoS Comput Biol. 2012;8(7):e1002488. doi: 10.1371/journal.pcbi.1002488. Epub 2012 Jul 19.

11.

MicroRNA regulatory network in human colorectal cancer.

Tang JT, Fang JY.

Mini Rev Med Chem. 2009 Jul;9(8):921-6. Review.

PMID:
19601887
12.

Network cluster analysis of protein-protein interaction network identified biomarker for early onset colorectal cancer.

Luo T, Wu S, Shen X, Li L.

Mol Biol Rep. 2013 Dec;40(12):6561-8. doi: 10.1007/s11033-013-2694-0. Epub 2013 Nov 7.

PMID:
24197691
13.

Co-modulated behavior and effects of differentially expressed miRNA in colorectal cancer.

Chen WS, Chen TW, Yang TH, Hu LY, Pan HW, Leung CM, Li SC, Ho MR, Shu CW, Liu PF, Yu SY, Tu YT, Lin WC, Wu TT, Tsai KW.

BMC Genomics. 2013;14 Suppl 5:S12. doi: 10.1186/1471-2164-14-S5-S12. Epub 2013 Oct 16.

14.

Identification of core miRNA based on small RNA-seq and RNA-seq for colorectal cancer by bioinformatics.

Kou Y, Qiao L, Wang Q.

Tumour Biol. 2015 Apr;36(4):2249-55. doi: 10.1007/s13277-014-2832-x. Epub 2014 Nov 21. Retraction in: Kou Y, Qiao L, Wang Q. Tumour Biol. 2015 Aug;36(9):7329.

PMID:
25412953
15.

Integrated analysis of microRNA and gene expression profiles reveals a functional regulatory module associated with liver fibrosis.

Chen W, Zhao W, Yang A, Xu A, Wang H, Cong M, Liu T, Wang P, You H.

Gene. 2017 Dec 15;636:87-95. doi: 10.1016/j.gene.2017.09.027. Epub 2017 Sep 14.

PMID:
28919164
16.

MicroRNA expression profiles in human colorectal cancers with liver metastases.

Lin M, Chen W, Huang J, Gao H, Ye Y, Song Z, Shen X.

Oncol Rep. 2011 Mar;25(3):739-47. doi: 10.3892/or.2010.1112. Epub 2010 Dec 20.

PMID:
21174058
17.

Over- and under-expressed microRNAs in human colorectal cancer.

Motoyama K, Inoue H, Takatsuno Y, Tanaka F, Mimori K, Uetake H, Sugihara K, Mori M.

Int J Oncol. 2009 Apr;34(4):1069-75.

PMID:
19287964
18.

MicroRNA profile comparison of the corneal endothelia of young and old mice: implications for senescence of the corneal endothelium.

Zhao X, Huang Y, Wang Y, Chen P, Yu Y, Song Z.

Mol Vis. 2013 Aug 6;19:1815-25. eCollection 2013.

19.

miRNA-mRNA correlation-network modules in human prostate cancer and the differences between primary and metastatic tumor subtypes.

Zhang W, Edwards A, Fan W, Flemington EK, Zhang K.

PLoS One. 2012;7(6):e40130. doi: 10.1371/journal.pone.0040130. Epub 2012 Jun 29.

20.

MicroRNA-mRNA interaction network using TSK-type recurrent neural fuzzy network.

Vineetha S, Chandra Shekara Bhat C, Idicula SM.

Gene. 2013 Feb 25;515(2):385-90. doi: 10.1016/j.gene.2012.12.063. Epub 2012 Dec 20.

PMID:
23266630

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