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Items: 1 to 20 of 223

1.

Analysis of the NCI-60 dataset for cancer-related microRNA and mRNA using expression profiles.

Weng CW, Lee SC, Lee YL, Ng KL.

Comput Biol Chem. 2013 Jun;44:15-21. doi: 10.1016/j.compbiolchem.2013.02.001. Epub 2013 Feb 19.

PMID:
23499870
2.

Correlation of expression profiles between microRNAs and mRNA targets using NCI-60 data.

Wang YP, Li KB.

BMC Genomics. 2009 May 12;10:218. doi: 10.1186/1471-2164-10-218.

3.

miRNAMap 2.0: genomic maps of microRNAs in metazoan genomes.

Hsu SD, Chu CH, Tsou AP, Chen SJ, Chen HC, Hsu PW, Wong YH, Chen YH, Chen GH, Huang HD.

Nucleic Acids Res. 2008 Jan;36(Database issue):D165-9. Epub 2007 Nov 19.

4.

miRFANs: an integrated database for Arabidopsis thaliana microRNA function annotations.

Liu H, Jin T, Liao R, Wan L, Xu B, Zhou S, Guan J.

BMC Plant Biol. 2012 May 14;12:68. doi: 10.1186/1471-2229-12-68.

5.

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.

6.

Characterization of B- and T-lineage acute lymphoblastic leukemia by integrated analysis of MicroRNA and mRNA expression profiles.

Fulci V, Colombo T, Chiaretti S, Messina M, Citarella F, Tavolaro S, Guarini A, Foà R, Macino G.

Genes Chromosomes Cancer. 2009 Dec;48(12):1069-82. doi: 10.1002/gcc.20709.

PMID:
19760605
7.

miRGator: an integrated system for functional annotation of microRNAs.

Nam S, Kim B, Shin S, Lee S.

Nucleic Acids Res. 2008 Jan;36(Database issue):D159-64. Epub 2007 Oct 16.

8.

OncomiRDB: a database for the experimentally verified oncogenic and tumor-suppressive microRNAs.

Wang D, Gu J, Wang T, Ding Z.

Bioinformatics. 2014 Aug 1;30(15):2237-8. doi: 10.1093/bioinformatics/btu155. Epub 2014 Mar 20.

PMID:
24651967
9.

Investigating microRNA-target interaction-supported tissues in human cancer tissues based on miRNA and target gene expression profiling.

Hsieh WJ, Lin FM, Huang HD, Wang H.

PLoS One. 2014 Apr 22;9(4):e95697. doi: 10.1371/journal.pone.0095697. eCollection 2014. Erratum in: PLoS One. 2014;9(7):e102769.

10.

Prioritizing breast cancer subtype related miRNAs using miRNA-mRNA dysregulated relationships extracted from their dual expression profiling.

Hua L, Zhou P, Li L, Liu H, Yang Z.

J Theor Biol. 2013 Aug 21;331:1-11. doi: 10.1016/j.jtbi.2013.04.008. Epub 2013 Apr 22.

PMID:
23619378
11.

Global microRNA analysis of the NCI-60 cancer cell panel.

Søkilde R, Kaczkowski B, Podolska A, Cirera S, Gorodkin J, Møller S, Litman T.

Mol Cancer Ther. 2011 Mar;10(3):375-84. doi: 10.1158/1535-7163.MCT-10-0605. Epub 2011 Jan 20.

12.

The microRNA-218 and ROBO-1 signaling axis correlates with the lymphatic metastasis of pancreatic cancer.

He H, Di Y, Liang M, Yang F, Yao L, Hao S, Li J, Jiang Y, Jin C, Fu D.

Oncol Rep. 2013 Aug;30(2):651-8. doi: 10.3892/or.2013.2516. Epub 2013 Jun 3.

PMID:
23733161
13.

Integrated analysis of differential miRNA and mRNA expression profiles in human radioresistant and radiosensitive nasopharyngeal carcinoma cells.

Li XH, Qu JQ, Yi H, Zhang PF, Yi HM, Wan XX, He QY, Ye X, Yuan L, Zhu JF, Li JY, Xiao ZQ.

PLoS One. 2014 Jan 31;9(1):e87767. doi: 10.1371/journal.pone.0087767. eCollection 2014.

14.

Multi-class cancer classification through gene expression profiles: microRNA versus mRNA.

Peng S, Zeng X, Li X, Peng X, Chen L.

J Genet Genomics. 2009 Jul;36(7):409-16. doi: 10.1016/S1673-8527(08)60130-7.

PMID:
19631915
15.

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.

16.

Expression profiling of human immune cell subsets identifies miRNA-mRNA regulatory relationships correlated with cell type specific expression.

Allantaz F, Cheng DT, Bergauer T, Ravindran P, Rossier MF, Ebeling M, Badi L, Reis B, Bitter H, D'Asaro M, Chiappe A, Sridhar S, Pacheco GD, Burczynski ME, Hochstrasser D, Vonderscher J, Matthes T.

PLoS One. 2012;7(1):e29979. doi: 10.1371/journal.pone.0029979. Epub 2012 Jan 20.

17.

Tapping microRNA regulation networks through integrated analysis of microRNA-mRNA high-throughput profiles.

Saleh AD, Cheng H.

Methods Mol Biol. 2014;1182:279-88. doi: 10.1007/978-1-4939-1062-5_24.

PMID:
25055919
18.

Identifying dysfunctional miRNA-mRNA regulatory modules by inverse activation, cofunction, and high interconnection of target genes: a case study of glioblastoma.

Xiao Y, Ping Y, Fan H, Xu C, Guan J, Zhao H, Li Y, Lv Y, Jin Y, Wang L, Li X.

Neuro Oncol. 2013 Jul;15(7):818-28. doi: 10.1093/neuonc/not018. Epub 2013 Mar 20.

19.

ncRNAppi--a tool for identifying disease-related miRNA and siRNA targeting pathways.

Ng KL, Liu HC, Lee SC.

Bioinformatics. 2009 Dec 1;25(23):3199-201. doi: 10.1093/bioinformatics/btp574. Epub 2009 Oct 6.

PMID:
19808883
20.

MicroRNA regulation and its effects on cellular transcriptome in human immunodeficiency virus-1 (HIV-1) infected individuals with distinct viral load and CD4 cell counts.

Duskova K, Nagilla P, Le HS, Iyer P, Thalamuthu A, Martinson J, Bar-Joseph Z, Buchanan W, Rinaldo C, Ayyavoo V.

BMC Infect Dis. 2013 May 30;13:250. doi: 10.1186/1471-2334-13-250.

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