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Identification of candidate genes for myeloma-induced osteocyte death based on microarray data

BACKGROUND: The study was aimed to investigate the molecular mechanisms of osteocyte death in multiple myeloma (MM) patients. METHODS: GSE27372 was downloaded from Gene Expression Omnibus, including three HOB-01 (osteocyte cell line) control samples and three HOB-01 samples co-cultured with JJN3 (hu...

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Autor principal: Tian, Honglai
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4942932/
https://www.ncbi.nlm.nih.gov/pubmed/27405725
http://dx.doi.org/10.1186/s13018-016-0411-0
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author Tian, Honglai
author_facet Tian, Honglai
author_sort Tian, Honglai
collection PubMed
description BACKGROUND: The study was aimed to investigate the molecular mechanisms of osteocyte death in multiple myeloma (MM) patients. METHODS: GSE27372 was downloaded from Gene Expression Omnibus, including three HOB-01 (osteocyte cell line) control samples and three HOB-01 samples co-cultured with JJN3 (human MM cell line). After the differentially expressed genes (DEGs) were identified by Student’s t test method, enrichment analyses were performed for them using DAVID software. Using TRANSFAC, TSGene, and tumor-associated gene (TAG) databases, functional annotation was conducted for the DEGs. Additionally, protein-protein interaction (PPI) network and sub-network analyses were performed using STRING database and Cytoscape software. RESULTS: Total 393 DEGs were identified, including 22 transcription factors (e.g., KLF4 and IRF8) and 37 TAGs. Enrichment analysis suggested that EGF, S1PR1, and NPY1R were enriched in the function of circulatory system development. EGF (degree = 31) and EGR1 (degree = 19) had high degrees and interactions in the PPI network. In the sub-network, S1PR1, C3AR1, and NPY1R could interact with each other. CONCLUSIONS: These DEGs might participate in the osteocyte apoptosis induced by myeloma cells. These findings might provide a theoretical basis for a better understanding of the osteolysis in MM patients.
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spelling pubmed-49429322016-07-14 Identification of candidate genes for myeloma-induced osteocyte death based on microarray data Tian, Honglai J Orthop Surg Res Research Article BACKGROUND: The study was aimed to investigate the molecular mechanisms of osteocyte death in multiple myeloma (MM) patients. METHODS: GSE27372 was downloaded from Gene Expression Omnibus, including three HOB-01 (osteocyte cell line) control samples and three HOB-01 samples co-cultured with JJN3 (human MM cell line). After the differentially expressed genes (DEGs) were identified by Student’s t test method, enrichment analyses were performed for them using DAVID software. Using TRANSFAC, TSGene, and tumor-associated gene (TAG) databases, functional annotation was conducted for the DEGs. Additionally, protein-protein interaction (PPI) network and sub-network analyses were performed using STRING database and Cytoscape software. RESULTS: Total 393 DEGs were identified, including 22 transcription factors (e.g., KLF4 and IRF8) and 37 TAGs. Enrichment analysis suggested that EGF, S1PR1, and NPY1R were enriched in the function of circulatory system development. EGF (degree = 31) and EGR1 (degree = 19) had high degrees and interactions in the PPI network. In the sub-network, S1PR1, C3AR1, and NPY1R could interact with each other. CONCLUSIONS: These DEGs might participate in the osteocyte apoptosis induced by myeloma cells. These findings might provide a theoretical basis for a better understanding of the osteolysis in MM patients. BioMed Central 2016-07-12 /pmc/articles/PMC4942932/ /pubmed/27405725 http://dx.doi.org/10.1186/s13018-016-0411-0 Text en © The Author(s). 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided 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 Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Tian, Honglai
Identification of candidate genes for myeloma-induced osteocyte death based on microarray data
title Identification of candidate genes for myeloma-induced osteocyte death based on microarray data
title_full Identification of candidate genes for myeloma-induced osteocyte death based on microarray data
title_fullStr Identification of candidate genes for myeloma-induced osteocyte death based on microarray data
title_full_unstemmed Identification of candidate genes for myeloma-induced osteocyte death based on microarray data
title_short Identification of candidate genes for myeloma-induced osteocyte death based on microarray data
title_sort identification of candidate genes for myeloma-induced osteocyte death based on microarray data
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4942932/
https://www.ncbi.nlm.nih.gov/pubmed/27405725
http://dx.doi.org/10.1186/s13018-016-0411-0
work_keys_str_mv AT tianhonglai identificationofcandidategenesformyelomainducedosteocytedeathbasedonmicroarraydata