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通过调控网络获取骨关节炎相关分子特征基因。

Obtain osteoarthritis related molecular signature genes through regulation network.

机构信息

Department of Spinal Surgery, The Second Xiangya Hospital of Central South University, Hunan 410011, PR China.

出版信息

Mol Med Rep. 2012 Jan;5(1):177-83. doi: 10.3892/mmr.2011.595. Epub 2011 Sep 22.

DOI:10.3892/mmr.2011.595
PMID:21946934
Abstract

Osteoarthritis (OA), also known as degenerative joint disease or osteoarthrosis, is the most common form of arthritis. OA occurs when cartilage in the joints wears down over time. We used the GSE1919 series to identify potential genes that correlated to OA. The aim of our study was to obtain a molecular signature of OA through the regulation network based on differentially expressed genes. From the result of regulation network construction in OA, a number of transcription factors (TFs) and pathways closely related to OA were linked by our method. Peroxisome proliferator-activated receptor γ also arises as hub nodes in our transcriptome network and certain TFs containing CEBPD, EGR2 and ETS2 were shown to be related to OA by a previous study.

摘要

骨关节炎(OA),也称为退行性关节病或骨关节炎,是最常见的关节炎形式。OA 是由于关节软骨随时间磨损引起的。我们使用 GSE1919 系列来鉴定与 OA 相关的潜在基因。我们研究的目的是通过基于差异表达基因的调控网络获得 OA 的分子特征。从 OA 调控网络构建的结果来看,我们的方法将一些与 OA 密切相关的转录因子(TFs)和途径联系起来。过氧化物酶体增殖物激活受体γ(PPARγ)也成为我们转录组网络中的枢纽节点,先前的研究表明,包含 CEBPD、EGR2 和 ETS2 的某些 TF 与 OA 有关。

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Gene Expression Microarray Data Identify Hub Genes Involved in Osteoarthritis.基因表达微阵列数据鉴定出参与骨关节炎的枢纽基因。
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Medicine (Baltimore). 2019 Jul;98(27):e16240. doi: 10.1097/MD.0000000000016240.