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通过开放表达分析平台对骨肉瘤MG-63细胞中响应白细胞介素-1α的稳态和活跃翻译的mRNA群体进行同步基因表达分析。

Simultaneous gene expression analysis of steady-state and actively translated mRNA populations from osteosarcoma MG-63 cells in response to IL-1alpha via an open expression analysis platform.

作者信息

Ju Jingfang, Huang Chunli, Minskoff Stacey A, Mayotte Jane E, Taillon Bruce E, Simons Jan F

机构信息

CuraGen Corp., 555 Long Wharf Drive, New Haven, CT 06511, USA.

出版信息

Nucleic Acids Res. 2003 Sep 1;31(17):5157-66. doi: 10.1093/nar/gkg702.

Abstract

Pro-inflammatory cytokines play a key role in various forms of metabolic bone diseases, including osteopenia and osteoporosis. Human MG-63 cells treated with IL-1alpha were used as a model system to identify potential marker genes that are differentially expressed. This study is designed to quantitate gene expression of actively translated mRNAs as compared to the steady-state mRNA population. Both steady-state mRNAs and actively translated mRNAs from control MG-63 cells and MG-63 cells treated with IL-1alpha were isolated and converted to cDNA. The gene expression analysis from these samples was then quantitated with an open expression analysis platform with no requirement for a priori knowledge of sequence information. As a result, many differentially regulated genes were discovered via IL-1alpha treatment. Some of the genes have been described previously as playing important roles in the regulation of inflammation and cell adhesion. These comparisons provided a panoramic overview of gene expression at both the total transcript and post-transcriptional levels. In addition, the quantitation of actively translated mRNAs associated with polysomes also provided a better estimation of protein expression levels. This methodology allows for the identification of genes acutely regulated during translation. Furthermore, the process may aid in the identification of new drug targets or biomarkers.

摘要

促炎细胞因子在包括骨质减少和骨质疏松症在内的各种代谢性骨疾病中起关键作用。用白细胞介素-1α(IL-1α)处理的人MG-63细胞被用作模型系统,以鉴定差异表达的潜在标记基因。本研究旨在定量与稳态mRNA群体相比的活跃翻译mRNA的基因表达。从对照MG-63细胞和用IL-1α处理的MG-63细胞中分离出稳态mRNA和活跃翻译的mRNA,并将其转化为cDNA。然后使用无需序列信息先验知识的开放表达分析平台对这些样品的基因表达分析进行定量。结果,通过IL-1α处理发现了许多差异调节的基因。其中一些基因先前已被描述为在炎症调节和细胞粘附中起重要作用。这些比较提供了总转录本和转录后水平上基因表达的全景概述。此外,与多核糖体相关的活跃翻译mRNA的定量也提供了对蛋白质表达水平的更好估计。这种方法允许鉴定在翻译过程中急性调节的基因。此外,该过程可能有助于鉴定新的药物靶点或生物标志物。

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