Xing Weirong, Baylink David, Kapoor Anil, Mohan Subburaman
Musculoskeletal Disease Center, JL Pettis Memorial Veterans Administration Medical Center, Loma Linda University, Loma Linda, CA 92357, USA.
Mol Biotechnol. 2006 Sep;34(1):29-35. doi: 10.1385/MB:34:1:29.
We have previously established mouse genetic models and identified the genetic components of quantitative trait loci (QTL) on mouse chromosomes that contribute to phenotypes such as bone size, bone density, and bone's anabolic response to mechanical loading. However, these regions contain dozens of unknown genes that are needed for functional testing. In this study, we provided a protocol of nucleoporation with high efficiency by using a commercial nucleofection buffer and Gene Pulser to deliver a test gene into bone cells for functional studies. We cloned an osteoblast differentiation-specific gene osterix (Osx) from a mouse bone cDNA library into a pHGCX expression vector and used nucleoporation to deliver pHGCX/ Flag-Osx into the nuclei of MC3T3-E1 cells. We then examined the transfection efficiency, transgene expression, and function. Our results have demonstrated that nucleoporation can deliver a transgene into MC3T3-E1 osteoblast cells with approx 94% transfection efficiency, and express a functional Flag-Osx fusion protein capable of inducing cell differentiation as measured by an increase in alkaline phosphatase (ALP) activity. Therefore, this experimental system provides a rapid, safe, and efficient cell-based model of high-throughput phenotypic screening to identify candidate genes from physically mapped regions that are important for osteoblast differentiation.
我们先前已建立小鼠遗传模型,并确定了小鼠染色体上数量性状基因座(QTL)的遗传成分,这些成分有助于诸如骨骼大小、骨密度以及骨骼对机械负荷的合成代谢反应等表型。然而,这些区域包含数十个功能测试所需的未知基因。在本研究中,我们通过使用商业核转染缓冲液和基因脉冲仪提供了一种高效的核转染方案,用于将测试基因导入骨细胞进行功能研究。我们从小鼠骨cDNA文库中克隆了一个成骨细胞分化特异性基因osterix(Osx),并将其克隆到pHGCX表达载体中,然后使用核转染将pHGCX/Flag-Osx导入MC3T3-E1细胞的细胞核。随后我们检测了转染效率、转基因表达及功能。我们的结果表明,核转染能够以约94%的转染效率将转基因导入MC3T3-E1成骨细胞,并表达一种功能性Flag-Osx融合蛋白,该蛋白能够通过碱性磷酸酶(ALP)活性的增加来诱导细胞分化。因此,该实验系统提供了一种快速、安全且高效的基于细胞的高通量表型筛选模型,用于从物理定位区域中鉴定对成骨细胞分化重要的候选基因。