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A compendium of long non-coding RNAs transcriptional fingerprint in multiple myeloma

Multiple myeloma (MM) is a clonal proliferation of bone marrow plasma cells characterized by highly heterogeneous genetic background and clinical course, whose pathogenesis remains largely unknown. Long ncRNAs (lncRNAs) are a large class of non-protein-coding RNA, involved in many physiological cell...

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Autores principales: Ronchetti, Domenica, Agnelli, Luca, Pietrelli, Alessandro, Todoerti, Katia, Manzoni, Martina, Taiana, Elisa, Neri, Antonino
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5920050/
https://www.ncbi.nlm.nih.gov/pubmed/29700321
http://dx.doi.org/10.1038/s41598-018-24701-8
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author Ronchetti, Domenica
Agnelli, Luca
Pietrelli, Alessandro
Todoerti, Katia
Manzoni, Martina
Taiana, Elisa
Neri, Antonino
author_facet Ronchetti, Domenica
Agnelli, Luca
Pietrelli, Alessandro
Todoerti, Katia
Manzoni, Martina
Taiana, Elisa
Neri, Antonino
author_sort Ronchetti, Domenica
collection PubMed
description Multiple myeloma (MM) is a clonal proliferation of bone marrow plasma cells characterized by highly heterogeneous genetic background and clinical course, whose pathogenesis remains largely unknown. Long ncRNAs (lncRNAs) are a large class of non-protein-coding RNA, involved in many physiological cellular and genomic processes as well as in carcinogenesis and tumor evolution. Although still in its infancy, the role of lncRNAs in MM is progressively expanding. Besides studies on selected candidates, lncRNAs expression at genome-wide transcriptome level is confined to microarray technologies, thus investigating a limited collection of transcripts. In the present study investigating a cohort of 30 MM patients, a deep RNA-sequencing analysis overwhelmed previous array studies and allowed the most accurate definition of lncRNA transcripts structure and expression, ultimately providing a comprehensive catalogue of lncRNAs specifically associated with the main MM molecular subgroups and genetic alterations. Despite the small number of analyzed samples, the high accuracy of RNA-sequencing approach for complex transcriptome processing led to the identification of 391 deregulated lncRNAs, 67% of which were also detectable and validated by whole-transcript microarrays. In addition, we identified a list of lncRNAs, with potential relevance in MM, co-expressed and in close proximity to genes that might undergo a cis-regulatory relationship.
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spelling pubmed-59200502018-05-01 A compendium of long non-coding RNAs transcriptional fingerprint in multiple myeloma Ronchetti, Domenica Agnelli, Luca Pietrelli, Alessandro Todoerti, Katia Manzoni, Martina Taiana, Elisa Neri, Antonino Sci Rep Article Multiple myeloma (MM) is a clonal proliferation of bone marrow plasma cells characterized by highly heterogeneous genetic background and clinical course, whose pathogenesis remains largely unknown. Long ncRNAs (lncRNAs) are a large class of non-protein-coding RNA, involved in many physiological cellular and genomic processes as well as in carcinogenesis and tumor evolution. Although still in its infancy, the role of lncRNAs in MM is progressively expanding. Besides studies on selected candidates, lncRNAs expression at genome-wide transcriptome level is confined to microarray technologies, thus investigating a limited collection of transcripts. In the present study investigating a cohort of 30 MM patients, a deep RNA-sequencing analysis overwhelmed previous array studies and allowed the most accurate definition of lncRNA transcripts structure and expression, ultimately providing a comprehensive catalogue of lncRNAs specifically associated with the main MM molecular subgroups and genetic alterations. Despite the small number of analyzed samples, the high accuracy of RNA-sequencing approach for complex transcriptome processing led to the identification of 391 deregulated lncRNAs, 67% of which were also detectable and validated by whole-transcript microarrays. In addition, we identified a list of lncRNAs, with potential relevance in MM, co-expressed and in close proximity to genes that might undergo a cis-regulatory relationship. Nature Publishing Group UK 2018-04-26 /pmc/articles/PMC5920050/ /pubmed/29700321 http://dx.doi.org/10.1038/s41598-018-24701-8 Text en © The Author(s) 2018 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Ronchetti, Domenica
Agnelli, Luca
Pietrelli, Alessandro
Todoerti, Katia
Manzoni, Martina
Taiana, Elisa
Neri, Antonino
A compendium of long non-coding RNAs transcriptional fingerprint in multiple myeloma
title A compendium of long non-coding RNAs transcriptional fingerprint in multiple myeloma
title_full A compendium of long non-coding RNAs transcriptional fingerprint in multiple myeloma
title_fullStr A compendium of long non-coding RNAs transcriptional fingerprint in multiple myeloma
title_full_unstemmed A compendium of long non-coding RNAs transcriptional fingerprint in multiple myeloma
title_short A compendium of long non-coding RNAs transcriptional fingerprint in multiple myeloma
title_sort compendium of long non-coding rnas transcriptional fingerprint in multiple myeloma
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5920050/
https://www.ncbi.nlm.nih.gov/pubmed/29700321
http://dx.doi.org/10.1038/s41598-018-24701-8
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