Literature DB >> 24912852

Early targets of miR-34a in neuroblastoma.

Pasqualino De Antonellis1, Marianeve Carotenuto1, Jonathan Vandenbussche2, Gennaro De Vita1, Veronica Ferrucci1, Chiara Medaglia1, Iolanda Boffa1, Alessandra Galiero1, Sarah Di Somma1, Daniela Magliulo1, Nadia Aiese1, Alessandro Alonzi1, Daniela Spano1, Lucia Liguori1, Cristina Chiarolla1, Antonio Verrico3, Johannes H Schulte4, Pieter Mestdagh5, Jo Vandesompele5, Kris Gevaert2, Massimo Zollo6.   

Abstract

Several genes encoding for proteins involved in proliferation, invasion, and apoptosis are known to be direct miR-34a targets. Here, we used proteomics to screen for targets of miR-34a in neuroblastoma (NBL), a childhood cancer that originates from precursor cells of the sympathetic nervous system. We examined the effect of miR-34a overexpression using a tetracycline inducible system in two NBL cell lines (SHEP and SH-SY5Y) at early time points of expression (6, 12, and 24 h). Proteome analysis using post-metabolic labeling led to the identification of 2,082 proteins, and among these 186 were regulated (112 proteins down-regulated and 74 up-regulated). Prediction of miR-34a targets via bioinformatics showed that 32 transcripts held miR-34a seed sequences in their 3'-UTR. By combining the proteomics data with Kaplan Meier gene-expression studies, we identified seven new gene products (ALG13, TIMM13, TGM2, ABCF2, CTCF, Ki67, and LYAR) that were correlated with worse clinical outcomes. These were further validated in vitro by 3'-UTR seed sequence regulation. In addition, Michigan Molecular Interactions searches indicated that together these proteins affect signaling pathways that regulate cell cycle and proliferation, focal adhesions, and other cellular properties that overall enhance tumor progression (including signaling pathways such as TGF-β, WNT, MAPK, and FAK). In conclusion, proteome analysis has here identified early targets of miR-34a with relevance to NBL tumorigenesis. Along with the results of previous studies, our data strongly suggest miR-34a as a useful tool for improving the chance of therapeutic success with NBL.
© 2014 by The American Society for Biochemistry and Molecular Biology, Inc.

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Year:  2014        PMID: 24912852      PMCID: PMC4125741          DOI: 10.1074/mcp.M113.035808

Source DB:  PubMed          Journal:  Mol Cell Proteomics        ISSN: 1535-9476            Impact factor:   5.911


  77 in total

1.  ms_lims, a simple yet powerful open source laboratory information management system for MS-driven proteomics.

Authors:  Kenny Helsens; Niklaas Colaert; Harald Barsnes; Thilo Muth; Kristian Flikka; An Staes; Evy Timmerman; Steffi Wortelkamp; Albert Sickmann; Joël Vandekerckhove; Kris Gevaert; Lennart Martens
Journal:  Proteomics       Date:  2010-03       Impact factor: 3.984

2.  Expanding the microRNA targeting code: functional sites with centered pairing.

Authors:  Chanseok Shin; Jin-Wu Nam; Kyle Kai-How Farh; H Rosaria Chiang; Alena Shkumatava; David P Bartel
Journal:  Mol Cell       Date:  2010-06-25       Impact factor: 17.970

3.  CTCF and BORIS regulate Rb2/p130 gene transcription: a novel mechanism and a new paradigm for understanding the biology of lung cancer.

Authors:  Francesco Paolo Fiorentino; Marcella Macaluso; Fabrizio Miranda; Micaela Montanari; Antonio Russo; Luigi Bagella; Antonio Giordano
Journal:  Mol Cancer Res       Date:  2011-02       Impact factor: 5.852

4.  MicroRNA mir-346 targets the 5'-untranslated region of receptor-interacting protein 140 (RIP140) mRNA and up-regulates its protein expression.

Authors:  Nien-Pei Tsai; Ya-Lun Lin; Li-Na Wei
Journal:  Biochem J       Date:  2009-12-10       Impact factor: 3.857

Review 5.  The miR-34 family in cancer and apoptosis.

Authors:  H Hermeking
Journal:  Cell Death Differ       Date:  2009-05-22       Impact factor: 15.828

6.  TGM2 is a novel marker for prognosis and therapeutic target in colorectal cancer.

Authors:  Norikatsu Miyoshi; Hideshi Ishii; Koshi Mimori; Fumiaki Tanaka; Toshiki Hitora; Mitsuyoshi Tei; Mitsugu Sekimoto; Yuichiro Doki; Masaki Mori
Journal:  Ann Surg Oncol       Date:  2009-12-22       Impact factor: 5.344

7.  The microRNA miR-34a inhibits prostate cancer stem cells and metastasis by directly repressing CD44.

Authors:  Can Liu; Kevin Kelnar; Bigang Liu; Xin Chen; Tammy Calhoun-Davis; Hangwen Li; Lubna Patrawala; Hong Yan; Collene Jeter; Sofia Honorio; Jason F Wiggins; Andreas G Bader; Randy Fagin; David Brown; Dean G Tang
Journal:  Nat Med       Date:  2011-01-16       Impact factor: 53.440

8.  MicroRNA-34a is a potent tumor suppressor molecule in vivo in neuroblastoma.

Authors:  Amanda Tivnan; Lorraine Tracey; Patrick G Buckley; Leah C Alcock; Andrew M Davidoff; Raymond L Stallings
Journal:  BMC Cancer       Date:  2011-01-25       Impact factor: 4.430

9.  Distinct transcriptional MYCN/c-MYC activities are associated with spontaneous regression or malignant progression in neuroblastomas.

Authors:  Frank Westermann; Daniel Muth; Axel Benner; Tobias Bauer; Kai-Oliver Henrich; André Oberthuer; Benedikt Brors; Tim Beissbarth; Jo Vandesompele; Filip Pattyn; Barbara Hero; Rainer König; Matthias Fischer; Manfred Schwab
Journal:  Genome Biol       Date:  2008-10-13       Impact factor: 13.583

10.  MicroRNA miR-34 inhibits human pancreatic cancer tumor-initiating cells.

Authors:  Qing Ji; Xinbao Hao; Min Zhang; Wenhua Tang; Meng Yang; Ling Li; Debing Xiang; Jeffrey T Desano; Guido T Bommer; Daiming Fan; Eric R Fearon; Theodore S Lawrence; Liang Xu
Journal:  PLoS One       Date:  2009-08-28       Impact factor: 3.240

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  14 in total

Review 1.  Epigenetic regulation of neuroblastoma development.

Authors:  Kaat Durinck; Frank Speleman
Journal:  Cell Tissue Res       Date:  2018-01-19       Impact factor: 5.249

2.  Identification of miR-34 regulatory networks in settings of disease and antimiR-therapy: Implications for treating cardiac pathology and other diseases.

Authors:  Jenny Y Y Ooi; Bianca C Bernardo; Saloni Singla; Natalie L Patterson; Ruby C Y Lin; Julie R McMullen
Journal:  RNA Biol       Date:  2016-04-28       Impact factor: 4.652

Review 3.  Trends in IT Innovation to Build a Next Generation Bioinformatics Solution to Manage and Analyse Biological Big Data Produced by NGS Technologies.

Authors:  Alexandre G de Brevern; Jean-Philippe Meyniel; Cécile Fairhead; Cécile Neuvéglise; Alain Malpertuy
Journal:  Biomed Res Int       Date:  2015-06-01       Impact factor: 3.411

4.  Microrna expression signatures predict patient progression and disease outcome in pediatric embryonal central nervous system neoplasms.

Authors:  Maria Braoudaki; George I Lambrou; Krinio Giannikou; Vasilis Milionis; Kalliopi Stefanaki; Diane K Birks; Neophytos Prodromou; Aggeliki Kolialexi; Antonis Kattamis; Chara A Spiliopoulou; Fotini Tzortzatou-Stathopoulou; Emmanouel Kanavakis
Journal:  J Hematol Oncol       Date:  2014-12-31       Impact factor: 17.388

Review 5.  MiRNA Influences in Neuroblast Modulation: An Introspective Analysis.

Authors:  Vanessa Zammit; Byron Baron; Duncan Ayers
Journal:  Genes (Basel)       Date:  2018-01-09       Impact factor: 4.096

Review 6.  Mir-34: a new weapon against cancer?

Authors:  Gabriella Misso; Maria Teresa Di Martino; Giuseppe De Rosa; Ammad Ahmad Farooqi; Angela Lombardi; Virginia Campani; Mayra Rachele Zarone; Annamaria Gullà; Pierosandro Tagliaferri; Pierfrancesco Tassone; Michele Caraglia
Journal:  Mol Ther Nucleic Acids       Date:  2014-09-23       Impact factor: 10.183

7.  LYAR promotes colorectal cancer cell mobility by activating galectin-1 expression.

Authors:  Yupeng Wu; Ming Liu; Zhuchen Li; Xiao-Bin Wu; Ying Wang; Yadong Wang; Min Nie; Feifei Huang; Junyi Ju; Chi Ma; Renxiang Tan; Ke Zen; Chen-Yu Zhang; Keqin Fu; Yu-Gen Chen; Ming-Rong Wang; Quan Zhao
Journal:  Oncotarget       Date:  2015-10-20

Review 8.  microRNA-34a as a Therapeutic Agent against Human Cancer.

Authors:  Yoshimasa Saito; Toshiaki Nakaoka; Hidetsugu Saito
Journal:  J Clin Med       Date:  2015-11-16       Impact factor: 4.241

9.  Targeting long non-coding RNA-TUG1 inhibits tumor growth and angiogenesis in hepatoblastoma.

Authors:  R Dong; G-B Liu; B-H Liu; G Chen; K Li; S Zheng; K-R Dong
Journal:  Cell Death Dis       Date:  2016-06-30       Impact factor: 8.469

Review 10.  Endogenous Control Mechanisms of FAK and PYK2 and Their Relevance to Cancer Development.

Authors:  Rayan Naser; Abdullah Aldehaiman; Escarlet Díaz-Galicia; Stefan T Arold
Journal:  Cancers (Basel)       Date:  2018-06-11       Impact factor: 6.639

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