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Interplay Between Long Noncoding RNAs and MicroRNAs in Cancer

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Computational Cell Biology

Part of the book series: Methods in Molecular Biology ((MIMB,volume 1819))

Abstract

In the last decade noncoding RNAs (ncRNAs) have been extensively studied in several biological processes and human diseases including cancer. microRNAs (miRNAs) are the best-known class of ncRNAs. miRNAs are small ncRNAs of around 20–22 nucleotides (nt) and are crucial posttranscriptional regulators of protein coding genes. Recently, new classes of ncRNAs, longer than miRNAs have been discovered. Those include intergenic noncoding RNAs (lincRNAs) and circular RNAs (circRNAs). These novel types of ncRNAs opened a very exciting field in biology, leading researchers to discover new relationships between miRNAs and long noncoding RNAs (lncRNAs), which act together to control protein coding gene expression. One of these new discoveries led to the formulation of the “competing endogenous RNA (ceRNA) hypothesis.” This hypothesis suggests that an lncRNA acts as a sponge for miRNAs reducing their expression and causing the upregulation of miRNA targets. In this chapter we first discuss some recent discoveries in this field showing the mutual regulation of miRNAs, lncRNAs, and protein-coding genes in cancer. We then discuss the general approaches for the study of ceRNAs and present in more detail a recent computational approach to explore the ability of lncRNAs to act as ceRNAs in human breast cancer that has been shown to be, among the others, the most precise and promising.

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Author information

Author notes

    Authors and Affiliations

    1. Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark

      Francesco Russo

    2. Institute for Systems Analysis and Computer Science “A. Ruberti” (IASI), National Research Council (CNR), Rome, Italy

      Giulia Fiscon, Federica Conte & Paola Paci

    3. Institute of Clinical Physiology, National Research Council (CNR), Pisa, Italy

      Milena Rizzo

    4. Istituto Toscano Tumori (ITT), Firenze, Italy

      Milena Rizzo

    5. Institute of Informatics and Telematics (IIT), National Research Council (CNR), Pisa, Italy

      Marco Pellegrini

    Authors
    1. Francesco Russo
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    2. Giulia Fiscon
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    3. Federica Conte
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    4. Milena Rizzo
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    5. Paola Paci
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    6. Marco Pellegrini
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    Correspondence to Francesco Russo .

    Editor information

    Editors and Affiliations

    1. NNF Center for Protein Research, University of Copenhagen, Copenhagen, Denmark

      Louise von Stechow

    2. Novo Nordisk Foundation Center for Protein Research, University of Copenhagen, Copenhagen, Denmark

      Alberto Santos Delgado

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    Russo, F., Fiscon, G., Conte, F., Rizzo, M., Paci, P., Pellegrini, M. (2018). Interplay Between Long Noncoding RNAs and MicroRNAs in Cancer. In: von Stechow, L., Santos Delgado, A. (eds) Computational Cell Biology. Methods in Molecular Biology, vol 1819. Humana Press, New York, NY. https://doi.org/10.1007/978-1-4939-8618-7_4

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    • DOI: https://doi.org/10.1007/978-1-4939-8618-7_4

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    • Publisher Name: Humana Press, New York, NY

    • Print ISBN: 978-1-4939-8617-0

    • Online ISBN: 978-1-4939-8618-7

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