Literature DB >> 28991221

A non-coding function of TYRP1 mRNA promotes melanoma growth.

David Gilot1, Mélodie Migault1, Laura Bachelot1, Fabrice Journé2, Aljosja Rogiers3,4, Emmanuelle Donnou-Fournet1, Ariane Mogha1, Nicolas Mouchet1, Marie-Laure Pinel-Marie5, Bernard Mari6, Tristan Montier7,8, Sébastien Corre1, Arthur Gautron1, Florian Rambow3,4, Petra El Hajj2, Rania Ben Jouira9, Sophie Tartare-Deckert9, Jean-Christophe Marine3,4, Brice Felden5, Ghanem Ghanem2, Marie-Dominique Galibert1,10.   

Abstract

Competition among RNAs to bind miRNA is proposed to influence biological systems. However, the role of this competition in disease onset is unclear. Here, we report that TYRP1 mRNA, in addition to encoding tyrosinase-related protein 1 (TYRP1), indirectly promotes cell proliferation by sequestering miR-16 on non-canonical miRNA response elements. Consequently, the sequestered miR-16 is no longer able to repress its mRNA targets, such as RAB17, which is involved in melanoma cell proliferation and tumour growth. Restoration of miR-16 tumour-suppressor function can be achieved in vitro by silencing TYRP1 or increasing miR-16 expression. Importantly, TYRP1-dependent miR-16 sequestration can also be overcome in vivo by using small oligonucleotides that mask miR-16-binding sites on TYRP1 mRNA. Together, our findings assign a pathogenic non-coding function to TYRP1 mRNA and highlight miRNA displacement as a promising targeted therapeutic approach for melanoma.

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Year:  2017        PMID: 28991221     DOI: 10.1038/ncb3623

Source DB:  PubMed          Journal:  Nat Cell Biol        ISSN: 1465-7392            Impact factor:   28.824


  65 in total

1.  Fast and effective prediction of microRNA/target duplexes.

Authors:  Marc Rehmsmeier; Peter Steffen; Matthias Hochsmann; Robert Giegerich
Journal:  RNA       Date:  2004-10       Impact factor: 4.942

2.  The sva package for removing batch effects and other unwanted variation in high-throughput experiments.

Authors:  Jeffrey T Leek; W Evan Johnson; Hilary S Parker; Andrew E Jaffe; John D Storey
Journal:  Bioinformatics       Date:  2012-01-17       Impact factor: 6.937

3.  Coding-independent regulation of the tumor suppressor PTEN by competing endogenous mRNAs.

Authors:  Yvonne Tay; Lev Kats; Leonardo Salmena; Dror Weiss; Shen Mynn Tan; Ugo Ala; Florian Karreth; Laura Poliseno; Paolo Provero; Ferdinando Di Cunto; Judy Lieberman; Isidore Rigoutsos; Pier Paolo Pandolfi
Journal:  Cell       Date:  2011-10-14       Impact factor: 41.582

4.  MicroRNA sponges: competitive inhibitors of small RNAs in mammalian cells.

Authors:  Margaret S Ebert; Joel R Neilson; Phillip A Sharp
Journal:  Nat Methods       Date:  2007-08-12       Impact factor: 28.547

5.  RAB7 controls melanoma progression by exploiting a lineage-specific wiring of the endolysosomal pathway.

Authors:  Direna Alonso-Curbelo; Erica Riveiro-Falkenbach; Eva Pérez-Guijarro; Metehan Cifdaloz; Panagiotis Karras; Lisa Osterloh; Diego Megías; Estela Cañón; Tonantzin G Calvo; David Olmeda; Gonzalo Gómez-López; Osvaldo Graña; Víctor Javier Sánchez-Arévalo Lobo; David G Pisano; Hao-Wei Wang; Pablo Ortiz-Romero; Damià Tormo; Keith Hoek; José L Rodríguez-Peralto; Johanna A Joyce; María S Soengas
Journal:  Cancer Cell       Date:  2014-06-26       Impact factor: 31.743

6.  Competitive regulation of nucleolin expression by HuR and miR-494.

Authors:  Kumiko Tominaga; Subramanya Srikantan; Eun Kyung Lee; Sarah S Subaran; Jennifer L Martindale; Kotb Abdelmohsen; Myriam Gorospe
Journal:  Mol Cell Biol       Date:  2011-08-22       Impact factor: 4.272

7.  Treatment of infantile-onset spinal muscular atrophy with nusinersen: a phase 2, open-label, dose-escalation study.

Authors:  Richard S Finkel; Claudia A Chiriboga; Jiri Vajsar; John W Day; Jacqueline Montes; Darryl C De Vivo; Mason Yamashita; Frank Rigo; Gene Hung; Eugene Schneider; Daniel A Norris; Shuting Xia; C Frank Bennett; Kathie M Bishop
Journal:  Lancet       Date:  2016-12-07       Impact factor: 79.321

8.  An illegitimate microRNA target site within the 3' UTR of MDM4 affects ovarian cancer progression and chemosensitivity.

Authors:  Jessika Wynendaele; Anja Böhnke; Eleonora Leucci; Søren Jensby Nielsen; Irina Lambertz; Stefanie Hammer; Nadja Sbrzesny; Dana Kubitza; Anja Wolf; Elise Gradhand; Katharina Balschun; Ioana Braicu; Jalid Sehouli; Silvia Darb-Esfahani; Carsten Denkert; Christoph Thomssen; Steffen Hauptmann; Anders Lund; Jean-Christophe Marine; Frank Bartel
Journal:  Cancer Res       Date:  2010-11-16       Impact factor: 12.701

9.  Predicting effective microRNA target sites in mammalian mRNAs.

Authors:  Vikram Agarwal; George W Bell; Jin-Wu Nam; David P Bartel
Journal:  Elife       Date:  2015-08-12       Impact factor: 8.140

10.  Target mimicry provides a new mechanism for regulation of microRNA activity.

Authors:  José Manuel Franco-Zorrilla; Adrián Valli; Marco Todesco; Isabel Mateos; María Isabel Puga; Ignacio Rubio-Somoza; Antonio Leyva; Detlef Weigel; Juan Antonio García; Javier Paz-Ares
Journal:  Nat Genet       Date:  2007-07-22       Impact factor: 38.330

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  34 in total

1.  TYRP1 mRNA goes fishing for miRNAs in melanoma.

Authors:  Maria S Soengas; Eva Hernando
Journal:  Nat Cell Biol       Date:  2017-10-31       Impact factor: 28.824

2.  miRNA displacement as a promising approach for cancer therapy.

Authors:  David Gilot; Marie-Dominique Galibert
Journal:  Mol Cell Oncol       Date:  2017-12-11

Review 3.  MicroRNA-155: A Master Regulator of Inflammation.

Authors:  Guruswamy Mahesh; Roopa Biswas
Journal:  J Interferon Cytokine Res       Date:  2019-03-20       Impact factor: 2.607

4.  Systematic evaluation of the microRNAome through miR-CATCHv2.0 identifies positive and negative regulators of BRAF-X1 mRNA.

Authors:  Andrea Marranci; Romina D'Aurizio; Sebastian Vencken; Serena Mero; Elena Guzzolino; Milena Rizzo; Letizia Pitto; Marco Pellegrini; Giovanna Chiorino; Catherine M Greene; Laura Poliseno
Journal:  RNA Biol       Date:  2019-04-19       Impact factor: 4.652

5.  High-Throughput Identification of miRNA-Target Interactions in Melanoma Using miR-CATCHv2.0.

Authors:  Andrea Marranci; Romina D'Aurizio; Milena Rizzo; Catherine M Greene; Laura Poliseno
Journal:  Methods Mol Biol       Date:  2021

6.  Elevated LINC01550 induces the apoptosis and cell cycle arrest of melanoma.

Authors:  Jia Chen; Ping Li; Zizi Chen; Shaohua Wang; Shijie Tang; Xiang Chen; Zhizhao Chen; Jianda Zhou
Journal:  Med Oncol       Date:  2021-02-20       Impact factor: 3.064

7.  A genetic compensatory mechanism regulated by Jun and Mef2d modulates the expression of distinct class IIa Hdacs to ensure peripheral nerve myelination and repair.

Authors:  Sergio Velasco-Aviles; Nikiben Patel; Angeles Casillas-Bajo; Laura Frutos-Rincón; Enrique Velasco; Juana Gallar; Peter Arthur-Farraj; Jose A Gomez-Sanchez; Hugo Cabedo
Journal:  Elife       Date:  2022-01-25       Impact factor: 8.140

Review 8.  Non-coding transcript variants of protein-coding genes - what are they good for?

Authors:  Sonam Dhamija; Manoj B Menon
Journal:  RNA Biol       Date:  2018-09-10       Impact factor: 4.652

Review 9.  Prognostic and Predictive Biomarkers in Stage III Melanoma: Current Insights and Clinical Implications.

Authors:  Luca Tonella; Valentina Pala; Renata Ponti; Marco Rubatto; Giuseppe Gallo; Luca Mastorino; Gianluca Avallone; Martina Merli; Andrea Agostini; Paolo Fava; Luca Bertero; Rebecca Senetta; Simona Osella-Abate; Simone Ribero; Maria Teresa Fierro; Pietro Quaglino
Journal:  Int J Mol Sci       Date:  2021-04-27       Impact factor: 5.923

10.  CRISPR screens identify tumor-promoting genes conferring melanoma cell plasticity and resistance.

Authors:  Arthur Gautron; Laura Bachelot; Marc Aubry; Delphine Leclerc; Anaïs M Quéméner; Sébastien Corre; Florian Rambow; Anaïs Paris; Nina Tardif; Héloïse M Leclair; Oskar Marin-Bejar; Cédric Coulouarn; Jean-Christophe Marine; Marie-Dominique Galibert; David Gilot
Journal:  EMBO Mol Med       Date:  2021-03-16       Impact factor: 12.137

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