Computational Drug Discovery and Design

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104:442–454. https://doi.org/10.1161/
CIRCRESAHA.108.191270


  1. Carrington JC, Ambros V (2003) Role of
    microRNAs in plant and animal development.
    Science 301:336–338. https://doi.org/10.
    1126/science.1085242

  2. Fabian MR, Sonenberg N, Filipowicz W
    (2010) Regulation of mRNA translation and
    stability by microRNAs. Annu Rev Biochem
    79:351–379. https://doi.org/10.1146/
    annurev-biochem-060308-103103

  3. Bagge A, Clausen TR, Larsen S et al (2012)
    MicroRNA-29a is up-regulated in beta-cells by
    glucose and decreases glucose-stimulated insu-
    lin secretion. Biochem Biophys Res Commun
    426:266–272. https://doi.org/10.1016/j.
    bbrc.2012.08.082

  4. Karolina DS, Tavintharan S, Armugam A et al
    (2012) Circulating miRNA profiles in patients
    with metabolic syndrome. J Clin Endocrinol
    Metab 97:E2271–E2276. https://doi.org/
    10.1210/jc.2012-1996

  5. Locke JM, Harries LW (2012) MicroRNA
    expression profiling of human islets from indi-
    viduals with and without type 2 diabetes: pro-
    mises and pitfalls. Biochem Soc Trans
    40:800–803. https://doi.org/10.1042/
    BST20120049

  6. Liu J, Liu W, Ying H et al (2012) Analysis of
    microRNA expression profile induced by
    AICAR in mouse hepatocytes. Gene
    512:364–372. https://doi.org/10.1016/j.
    gene.2012.09.118

  7. Begley CG, Ellis LM (2012) Raise standards
    for preclinical cancer research. Nature
    483:531–533. https://doi.org/10.1038/
    483531a

  8. Prinz F, Schlange T, Asadullah K (2011)
    Believe it or not: how much can we rely on
    published data on potential drug targets? Nat
    Rev Drug Discov 10:712.https://doi.org/10.
    1038/nrd3439-c1

  9. Mobley A, Linder SK, Braeuer R et al (2013) A
    survey on data reproducibility in cancer
    research provides insights into our limited abil-
    ity to translate findings from the laboratory to
    the clinic. PLoS One 8:e63221.https://doi.
    org/10.1371/journal.pone.0063221

  10. Guay C, Roggli E, Nesca Vet al (2011) Diabe-
    tes mellitus, a microRNA-related disease?
    Transl Res 157:253–264.https://doi.org/10.
    1016/j.trsl.2011.01.009
    33. Guay C, Jacovetti C, Nesca V (2012)
    Emerging roles of non-coding RNAs in pan-
    creaticβ-cell function and dysfunction. Diabe-
    tes Obes Metab 14:12–21
    34. Hamar P (2012) Role of regulatory micro-
    RNAs in type 2 diabetes mellitus related
    inflammation. Nucleic Acids Ther 22:289–294
    35. McClelland AD, Kantharidis P (2014) Micro-
    RNA in the development of diabetic complica-
    tions. Clin Sci (Lond) 126:95–110.https://
    doi.org/10.1042/CS20130079
    36. Natarajan R, Putta S, Kato M (2012) Micro-
    RNAs and diabetic complications. J Cardiovasc
    Transl Res 5:413–422
    37. Viechtbauer W (2010) Conducting meta-
    analyses in R with the metafor package. J Stat
    Softw 36:1–48
    38. Centre for Reviews and Dissemination (2009)
    Systematic reviews: CRDs guidance for under-
    taking reviews in health care. Cent Rev Dissem-
    ination, Univ York, 2008.https://doi.org/10.
    1017/CBO9781107415324.004
    39. Park N, Zhou H, Elashoff D (2009) Salivary
    microRNA: discovery, characterization, and
    clinical utility for oral cancer detection. Clin
    Cancer Res 15:5473–5477
    40. Hanke M, Hoefig K, Merz H et al (2010) A
    robust methodology to study urine microRNA
    as tumor marker: microRNA-126 and
    microRNA-182 are related to urinary bladder
    cancer. Urol Oncol 28:655–661.https://doi.
    org/10.1016/j.urolonc.2009.01.027
    41. Weber JA, Baxter DH, Zhang S et al (2010)
    The microRNA spectrum in 12 body fluids.
    Clin Chem 56:1733–1741
    42. Yamada Y, Enokida H, Kojima S et al (2011)
    MiR-96 and miR-183 detection in urine serve
    as potential tumor markers of urothelial carci-
    noma: correlation with stage and grade, and
    comparison with urinary cytology. Cancer Sci
    102:522–529. https://doi.org/10.1111/j.
    1349-7006.2010.01816.x
    43. Bustin S, Benes V, Garson J et al (2009) The
    MIQE guidelines: minimum information for
    publication of quantitative real-time PCR
    experiments. Clin Chem 55:611–622.
    https://doi.org/10.1373/clinchem.2008.
    112797
    44. R Core Team (2015) R: A language and envi-
    ronment for statistical computing. R Found
    Stat Comput, Vienna, Austria 0:{ISBN}
    3-900051-07-0. doi:ISBN 3-900051-07-0


484 Hongmei Zhu and Siu-wai Leung

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