loading
Documents

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Gianfranco Politano 1 ; Alfredo Benso 2 ; Stefano Di Carlo 1 ; Francesca Orso 3 ; Alessandro Savino 2 and Daniela Taverna 3

Affiliations: 1 Politecnico di Torino, Italy ; 2 Politecnico di Torino and Consorzio Interuniversitario Nazionale per l'Informatica, Italy ; 3 Molecular Biotechnology Center (MBC) and Università di Torino, Italy

ISBN: 978-989-758-012-3

Keyword(s): microRNA, miR-214, Melanomas, Biological Pathways, Gene Regulation, Post-transcriptional Regulation.

Related Ontology Subjects/Areas/Topics: Bioinformatics ; Biomedical Engineering ; Data Mining and Machine Learning ; Genomics and Proteomics ; Systems Biology ; Transcriptomics

Abstract: In the complex world of post-transcriptional regulation, miR-214 is known to control in vitro tumor cell movement and survival to anoikis, as well as in vivo malignant cell extravasation from blood vessels and lung metastasis formation. miR-214 has also been found to be highly expressed in human melanomas, and to directly and indirectly regulate several genes involved in tumor progression and in the establishment of distant metastases (Penna et al., 2011). In this work, we exploit a computational pipeline integrating data from multiple online data repositories to identify the presence of transcriptional or post-transcriptional regulatory modules involving miR-214 and a set of 73 previously identified miR-214 regulated genes. We identified 27 putative regulatory modules involving miR-214, NFKB1, SREBPF2, miR-33a and 9 out of the 73 miR-214 modulated genes (ALCAM, POSTN, TFAP2A, ADAM9, NCAM1, SEMA3A, PVRL2, JAG1, EGFR1). As a preliminary experimental validation we focused on 9 out of th e 27 identified regulatory modules that involve two main players, miR-33a and SREBF2. The results confirm the importance of the predictions obtained with the presented computational approach. (More)

PDF ImageFull Text

Download
Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 54.234.228.78

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Politano G., Benso A., Di Carlo S., Orso F., Savino A. and Taverna D. (2014). A Computational Study to Identify TP53 and SREBF2 as Regulation Mediators of miR-214 in Melanoma Progression.In Proceedings of the International Conference on Bioinformatics Models, Methods and Algorithms - Volume 1: BIOINFORMATICS, (BIOSTEC 2014) ISBN 978-989-758-012-3, pages 49-56. DOI: 10.5220/0004799500490056

@conference{bioinformatics14,
author={Gianfranco Politano and Alfredo Benso and Stefano Di Carlo and Francesca Orso and Alessandro Savino and Daniela Taverna},
title={A Computational Study to Identify TP53 and SREBF2 as Regulation Mediators of miR-214 in Melanoma Progression},
booktitle={Proceedings of the International Conference on Bioinformatics Models, Methods and Algorithms - Volume 1: BIOINFORMATICS, (BIOSTEC 2014)},
year={2014},
pages={49-56},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004799500490056},
isbn={978-989-758-012-3},
}

TY - CONF

JO - Proceedings of the International Conference on Bioinformatics Models, Methods and Algorithms - Volume 1: BIOINFORMATICS, (BIOSTEC 2014)
TI - A Computational Study to Identify TP53 and SREBF2 as Regulation Mediators of miR-214 in Melanoma Progression
SN - 978-989-758-012-3
AU - Politano G.
AU - Benso A.
AU - Di Carlo S.
AU - Orso F.
AU - Savino A.
AU - Taverna D.
PY - 2014
SP - 49
EP - 56
DO - 10.5220/0004799500490056

Login or register to post comments.

Comments on this Paper: Be the first to review this paper.