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Items: 1 to 20 of 102

1.

A microRNA activity map of human mesenchymal tumors: connections to oncogenic pathways; an integrative transcriptomic study.

Fountzilas E, Kelly AD, Perez-Atayde AR, Goldsmith J, Konstantinopoulos PA, Francoeur N, Correll M, Rubio R, Hu L, Gebhardt MC, Quackenbush J, Spentzos D.

BMC Genomics. 2012 Jul 23;13:332. doi: 10.1186/1471-2164-13-332.

2.

High-throughput mRNA and miRNA profiling of epithelial-mesenchymal transition in MDCK cells.

Shukla P, Vogl C, Wallner B, Rigler D, Müller M, Macho-Maschler S.

BMC Genomics. 2015 Nov 16;16:944. doi: 10.1186/s12864-015-2036-9.

3.

Modeling microRNA-mRNA interactions using PLS regression in human colon cancer.

Li X, Gill R, Cooper NG, Yoo JK, Datta S.

BMC Med Genomics. 2011 May 19;4:44. doi: 10.1186/1755-8794-4-44.

4.

Bioinformatics Resource Manager v2.3: an integrated software environment for systems biology with microRNA and cross-species analysis tools.

Tilton SC, Tal TL, Scroggins SM, Franzosa JA, Peterson ES, Tanguay RL, Waters KM.

BMC Bioinformatics. 2012 Nov 23;13:311. doi: 10.1186/1471-2105-13-311.

5.

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.

6.

Clear cell renal cell carcinoma associated microRNA expression signatures identified by an integrated bioinformatics analysis.

Chen J, Zhang D, Zhang W, Tang Y, Yan W, Guo L, Shen B.

J Transl Med. 2013 Jul 10;11:169. doi: 10.1186/1479-5876-11-169.

7.

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.

8.

A densely interconnected genome-wide network of microRNAs and oncogenic pathways revealed using gene expression signatures.

Ooi CH, Oh HK, Wang HZ, Tan AL, Wu J, Lee M, Rha SY, Chung HC, Virshup DM, Tan P.

PLoS Genet. 2011 Dec;7(12):e1002415. doi: 10.1371/journal.pgen.1002415. Epub 2011 Dec 15.

9.

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.

10.

Identification of microRNAs with regulatory potential using a matched microRNA-mRNA time-course data.

Jayaswal V, Lutherborrow M, Ma DD, Hwa Yang Y.

Nucleic Acids Res. 2009 May;37(8):e60. doi: 10.1093/nar/gkp153. Epub 2009 Mar 18.

11.

Large-scale integration of MicroRNA and gene expression data for identification of enriched microRNA-mRNA associations in biological systems.

Gunaratne PH, Creighton CJ, Watson M, Tennakoon JB.

Methods Mol Biol. 2010;667:297-315. doi: 10.1007/978-1-60761-811-9_20.

PMID:
20827542
12.

A systems biology approach for miRNA-mRNA expression patterns analysis in non-small cell lung cancer.

Najafi A, Tavallaei M, Hosseini SM.

Cancer Biomark. 2016;16(1):31-45. doi: 10.3233/CBM-150538.

PMID:
26484609
13.

Genome-wide transcriptional profiling reveals microRNA-correlated genes and biological processes in human lymphoblastoid cell lines.

Wang L, Oberg AL, Asmann YW, Sicotte H, McDonnell SK, Riska SM, Liu W, Steer CJ, Subramanian S, Cunningham JM, Cerhan JR, Thibodeau SN.

PLoS One. 2009 Jun 11;4(6):e5878. doi: 10.1371/journal.pone.0005878.

14.

Deep sequencing of small RNAs from human skin reveals major alterations in the psoriasis miRNAome.

Joyce CE, Zhou X, Xia J, Ryan C, Thrash B, Menter A, Zhang W, Bowcock AM.

Hum Mol Genet. 2011 Oct 15;20(20):4025-40. doi: 10.1093/hmg/ddr331. Epub 2011 Aug 1.

15.

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.

16.

Unique microRNA profile in end-stage heart failure indicates alterations in specific cardiovascular signaling networks.

Naga Prasad SV, Duan ZH, Gupta MK, Surampudi VS, Volinia S, Calin GA, Liu CG, Kotwal A, Moravec CS, Starling RC, Perez DM, Sen S, Wu Q, Plow EF, Croce CM, Karnik S.

J Biol Chem. 2009 Oct 2;284(40):27487-99. doi: 10.1074/jbc.M109.036541. Epub 2009 Jul 29. Retraction in: J Biol Chem. 2016 Jul 15;291(29):14914.

17.

Characterization of microRNA profile in human cumulus granulosa cells: Identification of microRNAs that regulate Notch signaling and are associated with PCOS.

Xu B, Zhang YW, Tong XH, Liu YS.

Mol Cell Endocrinol. 2015 Mar 15;404:26-36. doi: 10.1016/j.mce.2015.01.030. Epub 2015 Jan 23.

PMID:
25622783
18.

Identification of microRNA-mRNA modules using microarray data.

Jayaswal V, Lutherborrow M, Ma DD, Yang YH.

BMC Genomics. 2011 Mar 6;12:138. doi: 10.1186/1471-2164-12-138.

19.

MicroRNA expression profiling reveals miRNA families regulating specific biological pathways in mouse frontal cortex and hippocampus.

Juhila J, Sipilä T, Icay K, Nicorici D, Ellonen P, Kallio A, Korpelainen E, Greco D, Hovatta I.

PLoS One. 2011;6(6):e21495. doi: 10.1371/journal.pone.0021495. Epub 2011 Jun 22.

20.

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