mTD: A database of microRNAs affecting therapeutic effects of drugs

Xiao Chen; Wen-Bin Xie; Pei-Pei Xiao; Xing-Ming Zhao; Hong Yan

doi:10.1016/j.jgg.2017.04.003

Volume 44 Issue 5

May 2017

Turn off MathJax

Article Contents

Article Navigation > Journal of Genetics and Genomics > 2017 > 44(5): 269-271

PDF( 834 KB)

mTD: A database of microRNAs affecting therapeutic effects of drugs

doi: 10.1016/j.jgg.2017.04.003

1
Department of Computer Science and Technology, Tongji University, Shanghai 201804, China
2
Department of Electronic Engineering, City University of Hong Kong, Kowloon 999077, Hong Kong, China

More Information

Corresponding author: E-mail address: xm_zhao@tongji.edu.cn (Xing-Ming Zhao)
Received Date: 2016-12-18
Accepted Date: 2017-04-28
Rev Recd Date: 2017-04-24

Available Online: 2017-05-03

Publish Date: 2017-05-20

Abstract

These authors contributed equally to this work.

FullText(HTML)

References(19)

References

[1]	Ambros, V. The functions of animal microRNAs Nature, 431 (2004),pp. 350-355
[2]	Baek, D., Villen, J., Shin, C. et al. The impact of microRNAs on protein output Nature, 455 (2008),pp. 64-71
[3]	Cheng, A.M., Byrom, M.W., Shelton, J. et al. Antisense inhibition of human miRNAs and indications for an involvement of miRNA in cell growth and apoptosis Nucleic Acids Res., 33 (2005),pp. 1290-1297
[4]	NCBI Resource Coordinators Database resources of the national center for biotechnology information Nucleic Acids Res., 44 (2016),pp. D7-D19
[5]	Fan, Y., Siklenka, K., Arora, S.K. et al. miRNet - dissecting miRNA-target interactions and functional associations through network-based visual analysis Nucleic Acids Res., 44 (2016),pp. W135-W141
[6]	Guo, Y., Yan, K., Fang, J. et al. Let-7b expression determines response to chemotherapy through the regulation of cyclin D1 in glioblastoma J. Exp. Clin. Cancer Res., 32 (2013),p. 41
[7]	Jamal, S., Periwal, V., Consortium, O. et al. Computational analysis and predictive modeling of small molecule modulators of microRNA J. Cheminform, 4 (2012),p. 16
[8]	Jiang, W., Chen, X., Liao, M. et al. Identification of links between small molecules and miRNAs in human cancers based on transcriptional responses Sci. Rep., 2 (2012),p. 282
[9]	Kim, S., Thiessen, P.A., Bolton, E.E. et al. PubChem substance and compound databases Nucleic Acids Res., 44 (2016),pp. D1202-D1213
[10]	Knox, C., Law, V., Jewison, T. et al. DrugBank 3.0: a comprehensive resource for 'omics' research on drugs Nucleic Acids Res., 39 (2011),pp. D1035-D1041
[11]	Kozomara, A., Griffiths-Jones, S. miRBase: annotating high confidence microRNAs using deep sequencing data Nucleic Acids Res., 42 (2014),pp. D68-D73
[12]	Li, H., Xu, H., Shen, H. et al. microRNA-106a modulates cisplatin sensitivity by targeting PDCD4 in human ovarian cancer cells Oncol. Lett., 7 (2014),pp. 183-188
[13]	Li, Z., Rana, T.M. Therapeutic targeting of microRNAs: current status and future challenges Nat. Rev. Drug Discov., 13 (2014),pp. 622-638
[14]	Liu, X., Wang, S., Meng, F. et al. SM2miR: a database of the experimentally validated small molecules' effects on microRNA expression Bioinformatics, 29 (2013),pp. 409-411
[15]	Lv, Y., Wang, S., Meng, F. et al. Identifying novel associations between small molecules and miRNAs based on integrated molecular networks Bioinformatics, 31 (2015),pp. 3638-3644
[16]	Montagner, S., Dehó, L., Monticelli, S. MicroRNAs in hematopoietic development BMC Immunol., 15 (2014),p. 14
[17]	Rukov, J.L., Wilentzik, R., Jaffe, I. et al. Pharmaco-miR: linking microRNAs and drug effects Brief. Bioinform, 15 (2014),pp. 648-659
[18]	Wishart, D.S., Wu, A. Curr. Protoc. Bioinforma., 54 (2016)
[19]	Zhou, L., Li, X., Liu, Q. et al. Small RNA transcriptome investigation based on next-generation sequencing technology J. Genet. Genomics, 38 (2011),pp. 505-513