应用蛋白质芯片检测白血病细胞株耐药相关蛋白的表达  被引量:3

Protein microarray analysis on the expression of drug resistance-related proteins in leukemic cell line

在线阅读下载全文

作  者:张江[1] 孔佩艳[1] 曾东风[1] 徐葳[1] 王金良[1] 陈幸华[1] 张曦[1] 彭贤贵[1] 王平[1] 刘思恒[1] 曹正怀[2] 

机构地区:[1]第三军医大学新桥医院血液科,重庆400037 [2]第三军医大学新桥医院肿瘤中心

出  处:《免疫学杂志》2010年第4期333-336,共4页Immunological Journal

基  金:重庆市科技攻关计划项目(2009C180);第三军医大学临床科研课题(2007D174)

摘  要:目的利用低密度蛋白质芯片检测白血病细胞株耐药相关蛋白的表达。方法选择与白血病耐药密切相关的11种蛋白为检测指标,制备低密度蛋白质芯片,对人白血病细胞株HL-60、K562、Jurkat及耐药细胞株HL-60/VCR、K562/ADM、人Burkitt淋巴瘤Raji细胞株细胞裂解物进行检测。结果髓系白血病耐药细胞株P-糖蛋白(P-gp)、肺耐药蛋白/主要穹窿蛋白(LRP/MVP)、谷胱甘肽-硫-转移酶-π(GST-π)、血管内皮细胞生长因子(VEGF)、黏附分子淋巴细胞功能相关抗原-1(LFA-1)表达高于非耐药细胞株,而淋巴系白血病细胞株P-糖蛋白及趋化因子受体CXCR4均有高表达。结论检测白血病耐药相关蛋白的蛋白质芯片可发现不同的白血病细胞株的耐药相关蛋白表达的差异,联合检测多种耐药相关蛋白有助于更好的研究白血病的耐药机制。To evaluate the value of low density protein microarray in analyzing the expression of drug resistance related proteins in leukemic cell line,we employed human leukemic cell lines(HL60,K562,HL60/VCR,K562/ADM,and Jurkat) and Burkitt lymphoma cell line Raji in the study.The low density protein microarrays were prepared to detect the content of 11 drug resistance-related proteins in the cell lysates.The study showed that in the myeloid leukemic drug-resistant cell lines,the expression of Pglycoprotein (P-gp),lung resistance protein/major vault protein(LRP/MVP),glutathione-S-transferase-π(GST-π),vascular endothelial growth factor (VEGF),and lymphocyte function-associated antigen-1(LFA-1) were much higher,as compared with non-drug resistant cell lines. Furthermore,in the lymphoblastic leukemic cell lines,P-gp and chemokine receptor CXCR4 were highly expressed.The results show that the protein microarray could find the diversity of drug resistance-related proteins in different leukemic cell lines.Combined detection of more than one drug resistance-related proteins is helpful to study the drug resistance mechanism of leukemia.

关 键 词:蛋白质芯片 多药耐药 白血病细胞株 

分 类 号:R733.7[医药卫生—肿瘤]

 

参考文献:

正在载入数据...

 

二级参考文献:

正在载入数据...

 

耦合文献:

正在载入数据...

 

引证文献:

正在载入数据...

 

二级引证文献:

正在载入数据...

 

同被引文献:

正在载入数据...

 

相关期刊文献:

正在载入数据...

相关的主题
相关的作者对象
相关的机构对象