Suppr超能文献

噬菌体展示筛选鉴定高亲和力 TAG-72 结合肽。

Identification of a high affinity TAG-72 binding peptide by phage display selection.

机构信息

University of Massachusetts Medical School, Worcester, Massachusetts, USA.

出版信息

Cancer Biol Ther. 2011 Jan 1;11(1):22-31. doi: 10.4161/cbt.11.1.13797.

Abstract

PURPOSE

Phage display was used to select novel peptides that specifically bind the TAG-72 antigen and with properties suitable for imaging TAG-72 positive cancers.

RESULTS

After three rounds of selection against TAG-72 and using two different elution conditions including a long elution, the consensus sequences FRERCDKHPQKCTKFL and DPRHCQKRVLPCPAWL were expressed on phages G3-15 and T3-15 respectively. ELISA, fluorescence-activated cell sorting analysis and fluorescence microscopy provided evidence that both phages specifically bound TAG-72 in vitro. Both peptides are stable in 37oC serum. By a cell binding competition assay, the IC50 for T3-15 was measured as 0.29 nM and therefore 36-fold higher affinity than G3-15 at 10.32 nM. The biodistribution in mice carrying LS-174T tumors in one thigh were similar for both 99mTc-peptides at 30 min, but at 90 min the 99mTc-T3-15 peptide accumulated almost three times higher in the tumor. The SPECT/CT images were consistent with the biodistribution results.

PROCEDURES

The f88-4/Cys6 phage library and two different elution conditions were used to identify two new higher affinity binding peptides for the TAG-72 antigen. One, was a single brief elution with pH 2.2 glycine buffer, and the second began with the glycine elution but was followed with a longer elution with Tris buffered saline (TBS) at pH 7.4. The phages that bound TAG-72 were evaluated by fluorescence-activated cell sorting analysis using TAG-72 positive LS-174T cells and confirmed by immunofluorescence imaging. The consensus peptides displayed on the selected phages were synthesized and conjugated with NHS-MAG3 for radiolabeling with 99mTc. The IC50 for TAG-72 binding was evaluated by cell binding competition in vitro while binding affinity was evaluated in vivo by necropsy and SPECT/CT imaging in a tumor mouse model.

CONCLUSION

We have identified a peptide with a sub nanomolar inhibition constant for the TAG-72 antigen that may have application in cancer imaging.

摘要

目的

利用噬菌体展示技术筛选能够特异性结合 TAG-72 抗原且具有适用于成像 TAG-72 阳性癌症的特性的新型肽。

结果

经过三轮针对 TAG-72 的筛选,并使用包括长洗脱在内的两种不同洗脱条件,共识序列 FRERCDKHPQKCTKFL 和 DPRHCQKRVLPCPAWL 分别在噬菌体 G3-15 和 T3-15 上表达。ELISA、荧光激活细胞分选分析和荧光显微镜检查提供了证据表明,这两种噬菌体都能在体外特异性结合 TAG-72。这两种肽在 37°C 血清中都很稳定。通过细胞结合竞争测定,T3-15 的 IC50 为 0.29 nM,因此比 G3-15 的 10.32 nM高 36 倍。在携带 LS-174T 肿瘤的小鼠中,两种 99mTc-肽在 30 分钟时的生物分布相似,但在 90 分钟时,99mTc-T3-15 肽在肿瘤中的积累量几乎高出三倍。SPECT/CT 图像与生物分布结果一致。

程序

使用 f88-4/Cys6 噬菌体文库和两种不同的洗脱条件,鉴定出两种针对 TAG-72 抗原的新型高亲和力结合肽。一种是 pH 2.2 甘氨酸缓冲液的单一短暂洗脱,另一种是从甘氨酸洗脱开始,但随后用 pH 7.4 的 Tris 缓冲盐水(TBS)进行更长时间的洗脱。通过用 TAG-72 阳性 LS-174T 细胞进行荧光激活细胞分选分析评估与 TAG-72 结合的噬菌体,并通过免疫荧光成像进行确认。在选定的噬菌体上展示的共识肽被合成并与 NHS-MAG3 缀合,用于用 99mTc 标记。通过体外细胞结合竞争评估 TAG-72 结合的 IC50,通过肿瘤小鼠模型的尸检和 SPECT/CT 成像评估体内结合亲和力。

结论

我们已经确定了一种对 TAG-72 抗原具有亚纳摩尔抑制常数的肽,它可能在癌症成像中有应用。

相似文献

3
Evidence of specificity of radiolabeled phage display peptides for the TAG-72 antigen.
Cancer Biother Radiopharm. 2007 Aug;22(4):564-72. doi: 10.1089/cbr.2006.307.
4
A new TAG-72 cancer marker peptide identified by phage display.通过噬菌体展示鉴定出的一种新型TAG-72癌症标志物肽。
Cancer Lett. 2008 Dec 8;272(1):122-32. doi: 10.1016/j.canlet.2008.07.009. Epub 2008 Aug 23.
10
(99m)Tc-labeled SWL specific peptide for targeting EphA2 receptor.用于靶向 EphA2 受体的(99m)锝标记的 SWL 特异性肽。
Nucl Med Biol. 2014 Jul;41(6):450-6. doi: 10.1016/j.nucmedbio.2014.03.020. Epub 2014 Mar 29.

本文引用的文献

2
A new TAG-72 cancer marker peptide identified by phage display.通过噬菌体展示鉴定出的一种新型TAG-72癌症标志物肽。
Cancer Lett. 2008 Dec 8;272(1):122-32. doi: 10.1016/j.canlet.2008.07.009. Epub 2008 Aug 23.
5
Evidence of specificity of radiolabeled phage display peptides for the TAG-72 antigen.
Cancer Biother Radiopharm. 2007 Aug;22(4):564-72. doi: 10.1089/cbr.2006.307.

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验