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GeneChip Expression Profiling Reveals the Alterations of Energy Metabolism Related Genes in Osteocytes under Large Gradient High Magnetic Fields

The diamagnetic levitation as a novel ground-based model for simulating a reduced gravity environment has recently been applied in life science research. In this study a specially designed superconducting magnet with a large gradient high magnetic field (LG-HMF), which can provide three apparent gra...

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Autores principales: Wang, Yang, Chen, Zhi-Hao, Yin, Chun, Ma, Jian-Hua, Li, Di-Jie, Zhao, Fan, Sun, Yu-Long, Hu, Li-Fang, Shang, Peng, Qian, Ai-Rong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4312085/
https://www.ncbi.nlm.nih.gov/pubmed/25635858
http://dx.doi.org/10.1371/journal.pone.0116359
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author Wang, Yang
Chen, Zhi-Hao
Yin, Chun
Ma, Jian-Hua
Li, Di-Jie
Zhao, Fan
Sun, Yu-Long
Hu, Li-Fang
Shang, Peng
Qian, Ai-Rong
author_facet Wang, Yang
Chen, Zhi-Hao
Yin, Chun
Ma, Jian-Hua
Li, Di-Jie
Zhao, Fan
Sun, Yu-Long
Hu, Li-Fang
Shang, Peng
Qian, Ai-Rong
author_sort Wang, Yang
collection PubMed
description The diamagnetic levitation as a novel ground-based model for simulating a reduced gravity environment has recently been applied in life science research. In this study a specially designed superconducting magnet with a large gradient high magnetic field (LG-HMF), which can provide three apparent gravity levels (μ-g, 1-g, and 2-g), was used to simulate a space-like gravity environment. Osteocyte, as the most important mechanosensor in bone, takes a pivotal position in mediating the mechano-induced bone remodeling. In this study, the effects of LG-HMF on gene expression profiling of osteocyte-like cell line MLO-Y4 were investigated by Affymetrix DNA microarray. LG-HMF affected osteocyte gene expression profiling. Differentially expressed genes (DEGs) and data mining were further analyzed by using bioinfomatic tools, such as DAVID, iReport. 12 energy metabolism related genes (PFKL, AK4, ALDOC, COX7A1, STC1, ADM, CA9, CA12, P4HA1, APLN, GPR35 and GPR84) were further confirmed by real-time PCR. An integrated gene interaction network of 12 DEGs was constructed. Bio-data mining showed that genes involved in glucose metabolic process and apoptosis changed notablly. Our results demostrated that LG-HMF affected the expression of energy metabolism related genes in osteocyte. The identification of sensitive genes to special environments may provide some potential targets for preventing and treating bone loss or osteoporosis.
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spelling pubmed-43120852015-02-13 GeneChip Expression Profiling Reveals the Alterations of Energy Metabolism Related Genes in Osteocytes under Large Gradient High Magnetic Fields Wang, Yang Chen, Zhi-Hao Yin, Chun Ma, Jian-Hua Li, Di-Jie Zhao, Fan Sun, Yu-Long Hu, Li-Fang Shang, Peng Qian, Ai-Rong PLoS One Research Article The diamagnetic levitation as a novel ground-based model for simulating a reduced gravity environment has recently been applied in life science research. In this study a specially designed superconducting magnet with a large gradient high magnetic field (LG-HMF), which can provide three apparent gravity levels (μ-g, 1-g, and 2-g), was used to simulate a space-like gravity environment. Osteocyte, as the most important mechanosensor in bone, takes a pivotal position in mediating the mechano-induced bone remodeling. In this study, the effects of LG-HMF on gene expression profiling of osteocyte-like cell line MLO-Y4 were investigated by Affymetrix DNA microarray. LG-HMF affected osteocyte gene expression profiling. Differentially expressed genes (DEGs) and data mining were further analyzed by using bioinfomatic tools, such as DAVID, iReport. 12 energy metabolism related genes (PFKL, AK4, ALDOC, COX7A1, STC1, ADM, CA9, CA12, P4HA1, APLN, GPR35 and GPR84) were further confirmed by real-time PCR. An integrated gene interaction network of 12 DEGs was constructed. Bio-data mining showed that genes involved in glucose metabolic process and apoptosis changed notablly. Our results demostrated that LG-HMF affected the expression of energy metabolism related genes in osteocyte. The identification of sensitive genes to special environments may provide some potential targets for preventing and treating bone loss or osteoporosis. Public Library of Science 2015-01-30 /pmc/articles/PMC4312085/ /pubmed/25635858 http://dx.doi.org/10.1371/journal.pone.0116359 Text en © 2015 Wang et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Wang, Yang
Chen, Zhi-Hao
Yin, Chun
Ma, Jian-Hua
Li, Di-Jie
Zhao, Fan
Sun, Yu-Long
Hu, Li-Fang
Shang, Peng
Qian, Ai-Rong
GeneChip Expression Profiling Reveals the Alterations of Energy Metabolism Related Genes in Osteocytes under Large Gradient High Magnetic Fields
title GeneChip Expression Profiling Reveals the Alterations of Energy Metabolism Related Genes in Osteocytes under Large Gradient High Magnetic Fields
title_full GeneChip Expression Profiling Reveals the Alterations of Energy Metabolism Related Genes in Osteocytes under Large Gradient High Magnetic Fields
title_fullStr GeneChip Expression Profiling Reveals the Alterations of Energy Metabolism Related Genes in Osteocytes under Large Gradient High Magnetic Fields
title_full_unstemmed GeneChip Expression Profiling Reveals the Alterations of Energy Metabolism Related Genes in Osteocytes under Large Gradient High Magnetic Fields
title_short GeneChip Expression Profiling Reveals the Alterations of Energy Metabolism Related Genes in Osteocytes under Large Gradient High Magnetic Fields
title_sort genechip expression profiling reveals the alterations of energy metabolism related genes in osteocytes under large gradient high magnetic fields
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4312085/
https://www.ncbi.nlm.nih.gov/pubmed/25635858
http://dx.doi.org/10.1371/journal.pone.0116359
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