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Robust Sampling of Defective Pathways in Multiple Myeloma
We present the analysis of defective pathways in multiple myeloma (MM) using two recently developed sampling algorithms of the biological pathways: The Fisher’s ratio sampler, and the holdout sampler. We performed the retrospective analyses of different gene expression datasets concerning different...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6801400/ https://www.ncbi.nlm.nih.gov/pubmed/31546608 http://dx.doi.org/10.3390/ijms20194681 |
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author | Fernández-Martínez, Juan Luis de Andrés-Galiana, Enrique J. Fernández-Ovies, Francisco Javier Cernea, Ana Kloczkowski, Andrzej |
author_facet | Fernández-Martínez, Juan Luis de Andrés-Galiana, Enrique J. Fernández-Ovies, Francisco Javier Cernea, Ana Kloczkowski, Andrzej |
author_sort | Fernández-Martínez, Juan Luis |
collection | PubMed |
description | We present the analysis of defective pathways in multiple myeloma (MM) using two recently developed sampling algorithms of the biological pathways: The Fisher’s ratio sampler, and the holdout sampler. We performed the retrospective analyses of different gene expression datasets concerning different aspects of the disease, such as the existing difference between bone marrow stromal cells in MM and healthy controls (HC), the gene expression profiling of CD34+ cells in MM and HC, the difference between hyperdiploid and non-hyperdiploid myelomas, and the prediction of the chromosome 13 deletion, to provide a deeper insight into the molecular mechanisms involved in the disease. Our analysis has shown the importance of different altered pathways related to glycosylation, infectious disease, immune system response, different aspects of metabolism, DNA repair, protein recycling and regulation of the transcription of genes involved in the differentiation of myeloid cells. The main difference in genetic pathways between hyperdiploid and non-hyperdiploid myelomas are related to infectious disease, immune system response and protein recycling. Our work provides new insights on the genetic pathways involved in this complex disease and proposes novel targets for future therapies. |
format | Online Article Text |
id | pubmed-6801400 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-68014002019-10-31 Robust Sampling of Defective Pathways in Multiple Myeloma Fernández-Martínez, Juan Luis de Andrés-Galiana, Enrique J. Fernández-Ovies, Francisco Javier Cernea, Ana Kloczkowski, Andrzej Int J Mol Sci Article We present the analysis of defective pathways in multiple myeloma (MM) using two recently developed sampling algorithms of the biological pathways: The Fisher’s ratio sampler, and the holdout sampler. We performed the retrospective analyses of different gene expression datasets concerning different aspects of the disease, such as the existing difference between bone marrow stromal cells in MM and healthy controls (HC), the gene expression profiling of CD34+ cells in MM and HC, the difference between hyperdiploid and non-hyperdiploid myelomas, and the prediction of the chromosome 13 deletion, to provide a deeper insight into the molecular mechanisms involved in the disease. Our analysis has shown the importance of different altered pathways related to glycosylation, infectious disease, immune system response, different aspects of metabolism, DNA repair, protein recycling and regulation of the transcription of genes involved in the differentiation of myeloid cells. The main difference in genetic pathways between hyperdiploid and non-hyperdiploid myelomas are related to infectious disease, immune system response and protein recycling. Our work provides new insights on the genetic pathways involved in this complex disease and proposes novel targets for future therapies. MDPI 2019-09-21 /pmc/articles/PMC6801400/ /pubmed/31546608 http://dx.doi.org/10.3390/ijms20194681 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Fernández-Martínez, Juan Luis de Andrés-Galiana, Enrique J. Fernández-Ovies, Francisco Javier Cernea, Ana Kloczkowski, Andrzej Robust Sampling of Defective Pathways in Multiple Myeloma |
title | Robust Sampling of Defective Pathways in Multiple Myeloma |
title_full | Robust Sampling of Defective Pathways in Multiple Myeloma |
title_fullStr | Robust Sampling of Defective Pathways in Multiple Myeloma |
title_full_unstemmed | Robust Sampling of Defective Pathways in Multiple Myeloma |
title_short | Robust Sampling of Defective Pathways in Multiple Myeloma |
title_sort | robust sampling of defective pathways in multiple myeloma |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6801400/ https://www.ncbi.nlm.nih.gov/pubmed/31546608 http://dx.doi.org/10.3390/ijms20194681 |
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