Pi-Class Glutathione S-transferase (GSTP1)-Selective Fluorescent Probes for Multicolour Imaging with Various Cancer-Associated Enzymes

Pi-Class Glutathione S-transferase (GSTP1)-Selective Fluorescent Probes for Multicolour Imaging with Various Cancer-Associated Enzymes
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DOI:
10.1002/cbic.202200443
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发表时间:
2022-09-29
期刊:
影响因子:
3.2
通讯作者:
Inoue,Hideshi
Inoue,Hideshi
中科院分区:
生物学3区
文献类型:
--
作者:
Fujikawa,Yuuta;Mori,Masaya;Inoue,Hideshi

文献摘要

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与相应的正常对应物相比,Pi类谷胱甘肽S-转移酶(GSTP 1)在多种人类癌症组织中高度表达。因此,GSTP 1是一种潜在的靶酶,用于克服化疗药物的耐药性或可视化特定病变,如癌症。在这里,我们提出了橙子和红色荧光发射探针的选择性GST 1。碳荧光素和TokyoMagenta荧光团用先前描述的GST 1选择性显色化合物修饰,以分别产生橙子和红色荧光探针。在这些探针中,确认了发射橙子荧光的探针Ps‐CF对于检测各种癌细胞中外源或内源表达的GSTP 1具有高度特异性。此外,还证明了Ps-CF适用于使用绿色荧光发射γ-谷氨酰转肽酶(GGT)探针同时检测GSTP 1和另一种癌症相关酶。总之,本研究中开发的荧光探针能够通过同时使用光谱区分的荧光探针来同时检测多种肿瘤标志物,如GST 1和其他癌症相关酶,从而可能扩大癌症检测的范围。
Pi‐class glutathione S‐transferase (GSTP1) is highly expressed in a wide variety of human cancer tissues compared to the corresponding normal counterpart. Therefore, GSTP1 is a potential target enzyme for overcoming resistance to chemotherapeutic agents or visualizing specific lesions such as cancer. Here, we present orange and red fluorescence‐emitting probes selective for GSTP1. Carbofluorescein and TokyoMagenta fluorophores were modified with a previously described GSTP1‐selective chromogenic compound to generate orange and red fluorescence probes, respectively. Of these probes,Ps‐CF, the orange fluorescence‐emitting probe, was confirmed to be highly specific for detecting GSTP1 exogenously or endogenously expressed in various cancer cells. Additionally, it was demonstrated thatPs‐CFis applicable for the simultaneous detection of GSTP1 and another cancer‐associated enzyme by using a green fluorescence emitting γ‐glutamyl transpeptidase (GGT) probe. In conclusion, the fluorescent probes developed in this study enable the simultaneous detection of multiple tumour markers such as GSTP1 with other cancer‐associated enzymes by concurrently using spectrally distinguished fluorescent probes, potentially broadening the scope of cancer detection.