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MR molecular imaging of tumors based on an optimal hTERT promoter tyrosinase expression system

The early diagnosis and treatment of tumors is of vital significance to increase patient survival. Therefore, we constructed a lentiviral vector expressing tyrosinase (TYR) driven by an optimized human telomerase reverse transcriptase (hTERT) promoter or a cytomegalovirus(CMV) promoter in the hopes...

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Autores principales: Li, Chuan, Hu, Chang-Jiang, Tang, Bo, Yong, Xin, Luo, Gang, Wu, Yu-Yun, Wang, Su-Min, Yu, Song-Tao, Yang, Shi-Ming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Impact Journals LLC 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5173149/
https://www.ncbi.nlm.nih.gov/pubmed/27283901
http://dx.doi.org/10.18632/oncotarget.9888
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author Li, Chuan
Hu, Chang-Jiang
Tang, Bo
Yong, Xin
Luo, Gang
Wu, Yu-Yun
Wang, Su-Min
Yu, Song-Tao
Yang, Shi-Ming
author_facet Li, Chuan
Hu, Chang-Jiang
Tang, Bo
Yong, Xin
Luo, Gang
Wu, Yu-Yun
Wang, Su-Min
Yu, Song-Tao
Yang, Shi-Ming
author_sort Li, Chuan
collection PubMed
description The early diagnosis and treatment of tumors is of vital significance to increase patient survival. Therefore, we constructed a lentiviral vector expressing tyrosinase (TYR) driven by an optimized human telomerase reverse transcriptase (hTERT) promoter or a cytomegalovirus(CMV) promoter in the hopes of performing noninvasive and real-time tumor-specific imaging. First, hTERT-TYR and CMV-TYR were constructed to infect cancer cell lines (telomerase-negative cell line: U2OS; telomerase-positive cell lines: SGC-7901, SW480 and HepG2). Subsequently, stable tyrosinase-expressing cell lines were sorted by flow cytometry out of these infected cancer cell lines. Then, the mRNA and protein levels of tyrosinase were analyzed. Thetyrosinase activity, melanin production and ferric ion adsorption were measured followed by an MR scan. Consequently the results showed that tyrosinase was only expressed in telomerase-positive tumor cells infected by hTERT-TYR, whereas tyrosinase was expressed in both telomerase-negative and telomerase-positive tumor cells infected by CMV-TYR. Finally, we performed in vivo tumor MR using a clinical 3T MR scanner and found increased signals at T1W1 from telomerase-positive cells infected by hTERT-TYR, which revealed that MR scanning could distinguish cells with hTERT -positive cells from hTERT-negative cells infected with the optimized lentivirus. The mechanism underlying this effect is that tyrosinase promotes melanin production and ferric ion adsorption only in hTERT-expressing cells. Taken together, these data show that this optimized hTERT promoter-driving tyrosinase expression system might be a useful diagnostic tool for the detection of tumors using MR imaging.
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spelling pubmed-51731492016-12-23 MR molecular imaging of tumors based on an optimal hTERT promoter tyrosinase expression system Li, Chuan Hu, Chang-Jiang Tang, Bo Yong, Xin Luo, Gang Wu, Yu-Yun Wang, Su-Min Yu, Song-Tao Yang, Shi-Ming Oncotarget Research Paper The early diagnosis and treatment of tumors is of vital significance to increase patient survival. Therefore, we constructed a lentiviral vector expressing tyrosinase (TYR) driven by an optimized human telomerase reverse transcriptase (hTERT) promoter or a cytomegalovirus(CMV) promoter in the hopes of performing noninvasive and real-time tumor-specific imaging. First, hTERT-TYR and CMV-TYR were constructed to infect cancer cell lines (telomerase-negative cell line: U2OS; telomerase-positive cell lines: SGC-7901, SW480 and HepG2). Subsequently, stable tyrosinase-expressing cell lines were sorted by flow cytometry out of these infected cancer cell lines. Then, the mRNA and protein levels of tyrosinase were analyzed. Thetyrosinase activity, melanin production and ferric ion adsorption were measured followed by an MR scan. Consequently the results showed that tyrosinase was only expressed in telomerase-positive tumor cells infected by hTERT-TYR, whereas tyrosinase was expressed in both telomerase-negative and telomerase-positive tumor cells infected by CMV-TYR. Finally, we performed in vivo tumor MR using a clinical 3T MR scanner and found increased signals at T1W1 from telomerase-positive cells infected by hTERT-TYR, which revealed that MR scanning could distinguish cells with hTERT -positive cells from hTERT-negative cells infected with the optimized lentivirus. The mechanism underlying this effect is that tyrosinase promotes melanin production and ferric ion adsorption only in hTERT-expressing cells. Taken together, these data show that this optimized hTERT promoter-driving tyrosinase expression system might be a useful diagnostic tool for the detection of tumors using MR imaging. Impact Journals LLC 2016-06-07 /pmc/articles/PMC5173149/ /pubmed/27283901 http://dx.doi.org/10.18632/oncotarget.9888 Text en Copyright: © 2016 Li et al. http://creativecommons.org/licenses/by/2.5/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Paper
Li, Chuan
Hu, Chang-Jiang
Tang, Bo
Yong, Xin
Luo, Gang
Wu, Yu-Yun
Wang, Su-Min
Yu, Song-Tao
Yang, Shi-Ming
MR molecular imaging of tumors based on an optimal hTERT promoter tyrosinase expression system
title MR molecular imaging of tumors based on an optimal hTERT promoter tyrosinase expression system
title_full MR molecular imaging of tumors based on an optimal hTERT promoter tyrosinase expression system
title_fullStr MR molecular imaging of tumors based on an optimal hTERT promoter tyrosinase expression system
title_full_unstemmed MR molecular imaging of tumors based on an optimal hTERT promoter tyrosinase expression system
title_short MR molecular imaging of tumors based on an optimal hTERT promoter tyrosinase expression system
title_sort mr molecular imaging of tumors based on an optimal htert promoter tyrosinase expression system
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5173149/
https://www.ncbi.nlm.nih.gov/pubmed/27283901
http://dx.doi.org/10.18632/oncotarget.9888
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