Literature DB >> 30929607

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

Andrea Marranci1,2,3, Romina D'Aurizio4, Sebastian Vencken5, Serena Mero1,2, Elena Guzzolino1, Milena Rizzo1, Letizia Pitto1, Marco Pellegrini4, Giovanna Chiorino6, Catherine M Greene5, Laura Poliseno1,2.   

Abstract

Here we present miR-CATCHv2.0, an implemented experimental method that allows the identification of the microRNA species directly bound to an RNA of interest. After cross-linking of microRNA::RNA::Ago2 complexes using formaldehyde, the RNA is fragmented using sonication and then subjected to affinity purification using two sets of biotinylated tiling probes (ODD and EVEN). Finally, enriched microRNA species are retrieved by means of small RNA sequencing coupled with an ad hoc analytical workflow. In BRAFV600E mutant A375 melanoma cells, miR-CATCHv2.0 allowed us to identify 20 microRNAs that target X1, the most abundant isoform of BRAF mRNA. These microRNAs fall into different functional classes, according to the effect that they exert (decrease/increase in BRAFV600E mRNA and protein levels) and to the mechanism they use to achieve it (destabilization/stabilization of X1 mRNA or decrease/increase in its translation). microRNA-induced variations in BRAFV600E protein levels are most of the times coupled to consistent variations in pMEK levels, in melanoma cell proliferation in vitro and in sensitivity to the BRAF inhibitor vemurafenib in a xenograft model in zebrafish. However, microRNAs exist that uncouple the degree of activation of the ERK pathway from the levels of BRAFV600E protein. Our study proposes miR-CATCHv2.0 as an effective tool for the identification of direct microRNA-target interactions and, by using such a tool, unveils the complexity of the post-transcriptional regulation to which BRAFV600E and the ERK pathway are subjected in melanoma cells.

Entities:  

Keywords:  -X1 mRNA; Direct microRNA-target binding; ERK signalling; affinity purification; melanoma; transcript stability; transcript translation

Mesh:

Substances:

Year:  2019        PMID: 30929607      PMCID: PMC6546394          DOI: 10.1080/15476286.2019.1600934

Source DB:  PubMed          Journal:  RNA Biol        ISSN: 1547-6286            Impact factor:   4.652


  65 in total

1.  A KLF4-miRNA-206 autoregulatory feedback loop can promote or inhibit protein translation depending upon cell context.

Authors:  Chen-Chung Lin; Ling-Zhi Liu; Joseph B Addison; William F Wonderlin; Alexey V Ivanov; J Michael Ruppert
Journal:  Mol Cell Biol       Date:  2011-04-25       Impact factor: 4.272

2.  Reversible cross-linking combined with immunoprecipitation to study RNA-protein interactions in vivo.

Authors:  Somashe Niranjanakumari; Erika Lasda; Robert Brazas; Mariano A Garcia-Blanco
Journal:  Methods       Date:  2002-02       Impact factor: 3.608

3.  Let-7b-mediated suppression of basigin expression and metastasis in mouse melanoma cells.

Authors:  Tzu-Yen Fu; Chia-Che Chang; Chun-Ting Lin; Cong-Hao Lai; Shao-Yu Peng; Yi-Ju Ko; Pin-Chi Tang
Journal:  Exp Cell Res       Date:  2010-11-16       Impact factor: 3.905

4.  MEK1 activation by PAK: a novel mechanism.

Authors:  Electa R Park; Scott T Eblen; Andrew D Catling
Journal:  Cell Signal       Date:  2007-01-24       Impact factor: 4.315

5.  MicroRNA-466l upregulates IL-10 expression in TLR-triggered macrophages by antagonizing RNA-binding protein tristetraprolin-mediated IL-10 mRNA degradation.

Authors:  Feng Ma; Xingguang Liu; Dong Li; Pin Wang; Nan Li; Liwei Lu; Xuetao Cao
Journal:  J Immunol       Date:  2010-04-21       Impact factor: 5.422

6.  MicroRNA let-7b targets important cell cycle molecules in malignant melanoma cells and interferes with anchorage-independent growth.

Authors:  Julia Schultz; Peter Lorenz; Gerd Gross; Saleh Ibrahim; Manfred Kunz
Journal:  Cell Res       Date:  2008-05       Impact factor: 25.617

7.  Negative regulation of MAPKK by phosphorylation of a conserved serine residue equivalent to Ser212 of MEK1.

Authors:  Kailesh Gopalbhai; Gregor Jansen; Geneviève Beauregard; Malcolm Whiteway; France Dumas; Cunle Wu; Sylvain Meloche
Journal:  J Biol Chem       Date:  2002-12-27       Impact factor: 5.157

8.  Transcriptome-wide identification of RNA-binding protein and microRNA target sites by PAR-CLIP.

Authors:  Markus Hafner; Markus Landthaler; Lukas Burger; Mohsen Khorshid; Jean Hausser; Philipp Berninger; Andrea Rothballer; Manuel Ascano; Anna-Carina Jungkamp; Mathias Munschauer; Alexander Ulrich; Greg S Wardle; Scott Dewell; Mihaela Zavolan; Thomas Tuschl
Journal:  Cell       Date:  2010-04-02       Impact factor: 41.582

9.  Braf(V600E) cooperates with Pten loss to induce metastatic melanoma.

Authors:  David Dankort; David P Curley; Robert A Cartlidge; Betsy Nelson; Anthony N Karnezis; William E Damsky; Mingjian J You; Ronald A DePinho; Martin McMahon; Marcus Bosenberg
Journal:  Nat Genet       Date:  2009-03-12       Impact factor: 38.330

10.  Argonaute HITS-CLIP decodes microRNA-mRNA interaction maps.

Authors:  Sung Wook Chi; Julie B Zang; Aldo Mele; Robert B Darnell
Journal:  Nature       Date:  2009-06-17       Impact factor: 49.962

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  5 in total

1.  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

2.  A eutherian-specific microRNA controls the translation of Satb2 in a model of cortical differentiation.

Authors:  Manuella Martins; Silvia Galfrè; Marco Terrigno; Luca Pandolfini; Irene Appolloni; Keagan Dunville; Andrea Marranci; Milena Rizzo; Alberto Mercatanti; Laura Poliseno; Francesco Morandin; Marco Pietrosanto; Manuela Helmer-Citterich; Paolo Malatesta; Robert Vignali; Federico Cremisi
Journal:  Stem Cell Reports       Date:  2021-05-20       Impact factor: 7.765

3.  Identification of miRNAs Bound to an RNA of Interest by MicroRNA Capture Affinity Technology (miR-CATCH).

Authors:  Andrea Zeni; Margherita Grasso; Michela A Denti
Journal:  Methods Mol Biol       Date:  2022

4.  Inducible modulation of miR-204 levels in a zebrafish melanoma model.

Authors:  Samanta Sarti; Raffaella De Paolo; Chiara Ippolito; Angela Pucci; Letizia Pitto; Laura Poliseno
Journal:  Biol Open       Date:  2020-11-06       Impact factor: 2.422

5.  The Prognostic Value of miR-125b, miR-200c and miR-205 in Primary Cutaneous Malignant Melanoma Is Independent of BRAF Mutational Status.

Authors:  Beatriz Sánchez-Sendra; José F González-Muñoz; Silvia Pérez-Debén; Carlos Monteagudo
Journal:  Cancers (Basel)       Date:  2022-03-16       Impact factor: 6.639

  5 in total

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