中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Fusion immunotoxin anti-HER-2-scFv-SEC2 expressed in E-coli with an improved expression vector pASK75-EX: its construction and functioning

文献类型:期刊论文

作者Xu, MK ; Zhang, CG ; Zhang, HW ; Zhou, YF ; Zhang, XE ; Liu, L
刊名PROGRESS IN BIOCHEMISTRY AND BIOPHYSICS
出版日期2006
卷号33期号:8页码:781-788
关键词staphylococcal enterotoxin C2 (SEC2) HER-2 fusion immunotoxin tumor- targeting pASK75
ISSN号1000-3282
通讯作者Zhang, CG, Chinese Acad Sci, Inst Appl Ecol, Shenyang 110016, Peoples R China
中文摘要A tumor-targeting recombinant fusion immunotoxin B-L-SEC2 was constructed by fusing staphylococcal enterotoxin C2 (SEC2) and an anti-HER-2 single-chain Fv B1 through a peptide linker, and expressed in E.coli strain BL21 (DE3) with an improved expression vector pASK75-EX as inclusion body. The denatured inclusion body was purified with Ni-NTA chelate agarose, and then re-natured by dialysis. FACS and MTT assays indicated that the re-natured fusion immunotoxin B-L-SEC2 could target the HER-2 over-expressing breast tumor cell SK-Br-3 in vitro, and inhibit the growth of SK-Br-3.
学科主题Biochemistry & Molecular Biology; Biophysics
收录类别SCI
语种英语
WOS记录号WOS:000240004100011
公开日期2011-09-23
源URL[http://210.72.129.5/handle/321005/54889]  
专题沈阳应用生态研究所_沈阳应用生态研究所_期刊论文
推荐引用方式
GB/T 7714
Xu, MK,Zhang, CG,Zhang, HW,et al. Fusion immunotoxin anti-HER-2-scFv-SEC2 expressed in E-coli with an improved expression vector pASK75-EX: its construction and functioning[J]. PROGRESS IN BIOCHEMISTRY AND BIOPHYSICS,2006,33(8):781-788.
APA Xu, MK,Zhang, CG,Zhang, HW,Zhou, YF,Zhang, XE,&Liu, L.(2006).Fusion immunotoxin anti-HER-2-scFv-SEC2 expressed in E-coli with an improved expression vector pASK75-EX: its construction and functioning.PROGRESS IN BIOCHEMISTRY AND BIOPHYSICS,33(8),781-788.
MLA Xu, MK,et al."Fusion immunotoxin anti-HER-2-scFv-SEC2 expressed in E-coli with an improved expression vector pASK75-EX: its construction and functioning".PROGRESS IN BIOCHEMISTRY AND BIOPHYSICS 33.8(2006):781-788.

入库方式: OAI收割

来源:沈阳应用生态研究所

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