Identification of microRNA clusters cooperatively acting on epithelial to mesenchymal transition in triple negative breast cancer
| Autor: | Laura Cantini* 1, 2, 3, 4, 5, Gloria Bertoli* 6, Claudia Cava 6, Thierry Dubois 1, 7, Andrei Zinovyev 1, Michele Caselle 8, Isabella Castiglioni 6, Emmanuel Barillot 1, Loredana Martignetti 1 |
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| Přispěvatelé: | Institut de biologie de l'ENS Paris (UMR 8197/1024) (IBENS), Département de Biologie - ENS Paris, École normale supérieure - Paris (ENS Paris), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-École normale supérieure - Paris (ENS Paris), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Laboratoire de Mathématiques Blaise Pascal (LMBP), Université Blaise Pascal - Clermont-Ferrand 2 (UBP)-Centre National de la Recherche Scientifique (CNRS), Cancer et génome: Bioinformatique, biostatistiques et épidémiologie d'un système complexe, Institut Curie [Paris]-MINES ParisTech - École nationale supérieure des mines de Paris, Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Institut National de la Santé et de la Recherche Médicale (INSERM), Università degli studi di Torino (UNITO), Service de Bioinformatique (CURIE-BIOINFO), Institut Curie [Paris], Cantini, Laura, Institut de biologie de l'ENS Paris (IBENS), École normale supérieure - Paris (ENS-PSL), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-École normale supérieure - Paris (ENS-PSL), Mines Paris - PSL (École nationale supérieure des mines de Paris), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Institut Curie [Paris]-Institut National de la Santé et de la Recherche Médicale (INSERM), Università degli studi di Torino = University of Turin (UNITO), Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Département de Biologie - ENS Paris, Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS) |
| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: |
Epithelial-Mesenchymal Transition
Epithelial to Mesenchymal Transition Molecular Networks (q-bio.MN) [SDV]Life Sciences [q-bio] Datasets as Topic Triple Negative Breast Neoplasms Computational biology [MATH] Mathematics [math] Biology medicine.disease_cause Malignant transformation Metastasis 03 medical and health sciences 0302 clinical medicine Breast cancer Cell Line Tumor microRNA Breast Cancer Genetics medicine Gene silencing Humans Quantitative Biology - Molecular Networks Neoplasm Invasiveness Epithelial–mesenchymal transition Gene Silencing [MATH]Mathematics [math] Triple-negative breast cancer ComputingMilieux_MISCELLANEOUS 030304 developmental biology Cell Proliferation 0303 health sciences breast cancer Cancer Reproducibility of Results Computational Biology medicine.disease Phenotype [STAT] Statistics [stat] [SDV] Life Sciences [q-bio] [STAT]Statistics [stat] MicroRNAs FOS: Biological sciences 030220 oncology & carcinogenesis Multigene Family MicroRNA Breast Cancer Epithelial to Mesenchymal Transition Carcinogenesis 030217 neurology & neurosurgery |
| Zdroj: | Nucleic acids research (Online) 47 (2019): 2205–2215. doi:10.1093/nar/gkz016 info:cnr-pdr/source/autori:Laura Cantini* 1,2,3,4,5, Gloria Bertoli* 6, Claudia Cava 6, Thierry Dubois 1,2,7, Andrei Zinovyev 1,2,3,4, Michele Caselle 8, Isabella Castiglioni 6,*, Emmanuel Barillot 1,2,3,4 and Loredana Martignetti 1,2,3,4,/titolo:Identification of microRNA clusters cooperatively acting on epithelial to mesenchymal transition in triple negative breast cancer./doi:10.1093%2Fnar%2Fgkz016/rivista:Nucleic acids research (Online)/anno:2019/pagina_da:2205/pagina_a:2215/intervallo_pagine:2205–2215/volume:47 Nucleic Acids Research Nucleic Acids Research, Oxford University Press, 2019, 47 (5), pp.2205-2215. ⟨10.1093/nar/gkz016⟩ Nucleic Acids Research, 2019, 47 (5), pp.2205-2215. ⟨10.1093/nar/gkz016⟩ |
| ISSN: | 0305-1048 1362-4962 |
| Popis: | MicroRNAs play important roles in many biological processes. Their aberrant expression can have oncogenic or tumor suppressor function directly participating to carcinogenesis, malignant transformation, invasiveness and metastasis. Indeed, miRNA profiles can distinguish not only between normal and cancerous tissue but they can also successfully classify different subtypes of a particular cancer. Here, we focus on a particular class of transcripts encoding polycistronic miRNA genes that yields multiple miRNA components. We describe clustered MiRNA Master Regulator Analysis (ClustMMRA), a fully redesigned release of the MMRA computational pipeline (MiRNA Master Regulator Analysis), developed to search for clustered miRNAs potentially driving cancer molecular subtyping. Genomically clustered miRNAs are frequently co-expressed to target different components of pro-tumorigenic signalling pathways. By applying ClustMMRA to breast cancer patient data, we identified key miRNA clusters driving the phenotype of different tumor subgroups. The pipeline was applied to two independent breast cancer datasets, providing statistically concordant results between the two analysis. We validated in cell lines the miR-199/miR-214 as a novel cluster of miRNAs promoting the triple negative subtype phenotype through its control of proliferation and EMT. |
| Databáze: | OpenAIRE |
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