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Items: 1 to 20 of 93

1.

High-throughput miRNA and mRNA sequencing of paired colorectal normal, tumor and metastasis tissues and bioinformatic modeling of miRNA-1 therapeutic applications.

Röhr C, Kerick M, Fischer A, Kühn A, Kashofer K, Timmermann B, Daskalaki A, Meinel T, Drichel D, Börno ST, Nowka A, Krobitsch S, McHardy AC, Kratsch C, Becker T, Wunderlich A, Barmeyer C, Viertler C, Zatloukal K, Wierling C, Lehrach H, Schweiger MR.

PLoS One. 2013 Jul 2;8(7):e67461. doi: 10.1371/journal.pone.0067461. Print 2013.

2.

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.

3.

Differential expression of miRNAs in colorectal cancer: comparison of paired tumor tissue and adjacent normal mucosa using high-throughput sequencing.

Hamfjord J, Stangeland AM, Hughes T, Skrede ML, Tveit KM, Ikdahl T, Kure EH.

PLoS One. 2012;7(4):e34150. doi: 10.1371/journal.pone.0034150. Epub 2012 Apr 17.

4.

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
5.

Mirna expression profiles identify drivers in colorectal and pancreatic cancers.

Piepoli A, Tavano F, Copetti M, Mazza T, Palumbo O, Panza A, di Mola FF, Pazienza V, Mazzoccoli G, Biscaglia G, Gentile A, Mastrodonato N, Carella M, Pellegrini F, di Sebastiano P, Andriulli A.

PLoS One. 2012;7(3):e33663. doi: 10.1371/journal.pone.0033663. Epub 2012 Mar 30.

6.

Computational identification of hepatitis C virus associated microRNA-mRNA regulatory modules in human livers.

Peng X, Li Y, Walters KA, Rosenzweig ER, Lederer SL, Aicher LD, Proll S, Katze MG.

BMC Genomics. 2009 Aug 11;10:373. doi: 10.1186/1471-2164-10-373.

7.

Discovery of microRNA regulatory networks by integrating multidimensional high-throughput data.

Yang JH, Qu LH.

Adv Exp Med Biol. 2013;774:251-66. doi: 10.1007/978-94-007-5590-1_13.

PMID:
23377977
8.

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.

9.

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
10.

A new algorithm for integrated analysis of miRNA-mRNA interactions based on individual classification reveals insights into bladder cancer.

Hecker N, Stephan C, Mollenkopf HJ, Jung K, Preissner R, Meyer HA.

PLoS One. 2013 May 24;8(5):e64543. doi: 10.1371/journal.pone.0064543. Print 2013.

11.

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
12.

BioVLAB-MMIA-NGS: microRNA-mRNA integrated analysis using high-throughput sequencing data.

Chae H, Rhee S, Nephew KP, Kim S.

Bioinformatics. 2015 Jan 15;31(2):265-7. doi: 10.1093/bioinformatics/btu614. Epub 2014 Sep 29.

13.

Integrated analysis of miRNA and mRNA expression in childhood medulloblastoma compared with neural stem cells.

Genovesi LA, Carter KW, Gottardo NG, Giles KM, Dallas PB.

PLoS One. 2011;6(9):e23935. doi: 10.1371/journal.pone.0023935. Epub 2011 Sep 9.

14.

Identification of miRNAs and their target genes in developing soybean seeds by deep sequencing.

Song QX, Liu YF, Hu XY, Zhang WK, Ma B, Chen SY, Zhang JS.

BMC Plant Biol. 2011 Jan 10;11:5. doi: 10.1186/1471-2229-11-5.

15.

Genetic and epigenetic down-regulation of microRNA-212 promotes colorectal tumor metastasis via dysregulation of MnSOD.

Meng X, Wu J, Pan C, Wang H, Ying X, Zhou Y, Yu H, Zuo Y, Pan Z, Liu RY, Huang W.

Gastroenterology. 2013 Aug;145(2):426-36.e1-6. doi: 10.1053/j.gastro.2013.04.004. Epub 2013 Apr 9.

PMID:
23583431
16.

Differentiated miRNA expression and validation of signaling pathways in apoE gene knockout mice by cross-verification microarray platform.

Han H, Wang YH, Qu GJ, Sun TT, Li FQ, Jiang W, Luo SS.

Exp Mol Med. 2013 Mar 8;45:e13. doi: 10.1038/emm.2013.31.

17.

Overexpression of E2F mRNAs associated with gastric cancer progression identified by the transcription factor and miRNA co-regulatory network analysis.

Zhang X, Ni Z, Duan Z, Xin Z, Wang H, Tan J, Wang G, Li F.

PLoS One. 2015 Feb 3;10(2):e0116979. doi: 10.1371/journal.pone.0116979. eCollection 2015.

18.

Exploring complex miRNA-mRNA interactions with Bayesian networks by splitting-averaging strategy.

Liu B, Li J, Tsykin A, Liu L, Gaur AB, Goodall GJ.

BMC Bioinformatics. 2009 Dec 10;10:408. doi: 10.1186/1471-2105-10-408.

19.

Identification of Taxus microRNAs and their targets with high-throughput sequencing and degradome analysis.

Hao DC, Yang L, Xiao PG, Liu M.

Physiol Plant. 2012 Dec;146(4):388-403. doi: 10.1111/j.1399-3054.2012.01668.x. Epub 2012 Jul 25.

PMID:
22708792
20.

Genome-wide microRNA expression analysis of clear cell renal cell carcinoma by next generation deep sequencing.

Osanto S, Qin Y, Buermans HP, Berkers J, Lerut E, Goeman JJ, van Poppel H.

PLoS One. 2012;7(6):e38298. doi: 10.1371/journal.pone.0038298. Epub 2012 Jun 20.

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