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本研究通过体外生化实验研究细胞色素P450 3A7对维生素D3的羟化作用。根据GenBank报道的序列设计特异引物,扩增cyp3a7的编码区,将cyp3a7的编码区插入到pcDNATM3.1/myc-His(-) A的XhoⅠ/Bam HⅠ,通过测序检测序列的正确性。pcDNA-CYP3A7及pcDNA分别瞬时转染293T细胞,48 h后收集细胞,提取S9组分,用Bradford法测定蛋白质浓度。S9组分经12%SDS-PAGE凝胶电泳和Western blotting检测,用myc抗体作为一抗检测CYP3A7在293T细胞的表达水平。0.6 mg S9组分与1μmol/L维生素D3于37℃孵育30 min,用4倍体积的氯仿甲醇(体积比为3∶1)抽提,有机相在氮气流下吹干,残基用于HPLC分析。结果显示,重组表达CYP3A7的293T细胞的S9组分通过Western blotting检测到了特异的约60 kD的条带,对照样品未检测到特异条带的蛋白质。重组表达CYP3A7的293T细胞S9组分的孵育样品通过HPLC检测到了25-羟基维生素D3,对照样品未检测到25-羟基维生素D3。结果表明重组表达的CYP3A7羟化维生素D3生成25-羟基维生素D3。本研究为进一步探究还有哪些P450参与维生素D3在鸡体内的代谢,为阐明其代谢途径提供理论依据。 相似文献
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Jun Liu Junchen Chen Yadan Zhong Xiaoling Yu Ping Lu Jianqi Feng Xin Zhang Shufeng Ma Chao Yang Bin Yang Zhili Rong 《蛋白质与细胞》2021,12(8):653-660
Dear Editor,
Primary localized cutaneous amyloidosis (PLCA) is a skin-limited disorder characterized by deposition of amyloid material in the superficial dermis.According to clinical characteristics,PLCA is divided into lichen,macular,and nodular amyloidosis.PLCA is found worldwide but has a higher incidence in South America and Southeast Asia,such as in Brazil and China (Chang et al.,2014;Tey et al.,2016). 相似文献
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Shufeng Li Xiaofeng Huang Dapeng Zhang Qilai Huang Guoshun Pei Lixiang Wang Wenhui Jiang Qingang Hu Renxiang Tan Zi-Chun Hua 《PloS one》2013,8(11)
Focal adhesion kinase (FAK) is a non-receptor tyrosine kinase critically involved in cancer metastasis. We found an elevation of FAK expression in highly metastatic melanoma B16F10 cells compared with its less metastatic partner B16F1 cells. Down-regulation of the FAK expression by either small interfering RNA or dominant negative FAK (FAK Related Non-Kinase, FRNK) inhibited the B16F10 cell migration in vitro and invasiveness in vivo. The mechanism by which FAK activity is up-regulated in highly metastatic cells remains unclear. In this study, we reported for the first time that one of the Est family proteins, PEA3, is able to transactivate FAK expression through binding to the promoter region of FAK. We identified a PEA3-binding site between nucleotides −170 and +43 in the FAK promoter that was critical for the responsiveness to PEA3. A stronger affinity of PEA3 to this region contributed to the elevation of FAK expression in B16F10 cells. Both in vitro and in vivo knockdown of PEA3 gene successfully mimicked the cell migration and invasiveness as that induced by FAK down-regulation. The activation of the well-known upstream of PEA3, such as epidermal growth factor, JNK, and ERK can also induce FAK expression. Furthermore, in the metastatic human clinic tumor specimens from the patients with human primary oral squamous cell carcinoma, we observed a strong positive correlation among PEA3, FAK, and carcinoma metastasis. Taking together, we hypothesized that PEA3 might play an essential role in the activation of the FAK gene during tumor metastasis. 相似文献
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Kejian Wang Jiazhi Sun Shufeng Zhou Chunling Wan Shengying Qin Can Li Lin He Lun Yang 《PLoS computational biology》2013,9(11)
Small drug molecules usually bind to multiple protein targets or even unintended off-targets. Such drug promiscuity has often led to unwanted or unexplained drug reactions, resulting in side effects or drug repositioning opportunities. So it is always an important issue in pharmacology to identify potential drug-target interactions (DTI). However, DTI discovery by experiment remains a challenging task, due to high expense of time and resources. Many computational methods are therefore developed to predict DTI with high throughput biological and clinical data. Here, we initiatively demonstrate that the on-target and off-target effects could be characterized by drug-induced in vitro genomic expression changes, e.g. the data in Connectivity Map (CMap). Thus, unknown ligands of a certain target can be found from the compounds showing high gene-expression similarity to the known ligands. Then to clarify the detailed practice of CMap based DTI prediction, we objectively evaluate how well each target is characterized by CMap. The results suggest that (1) some targets are better characterized than others, so the prediction models specific to these well characterized targets would be more accurate and reliable; (2) in some cases, a family of ligands for the same target tend to interact with common off-targets, which may help increase the efficiency of DTI discovery and explain the mechanisms of complicated drug actions. In the present study, CMap expression similarity is proposed as a novel indicator of drug-target interactions. The detailed strategies of improving data quality by decreasing the batch effect and building prediction models are also effectively established. We believe the success in CMap can be further translated into other public and commercial data of genomic expression, thus increasing research productivity towards valid drug repositioning and minimal side effects. 相似文献
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