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Quantitative hypoxia mapping using a self-calibrated activatable nanoprobe
Feng,Xin1,2; Li,Yuhao3; Zhang,Shiyuan1; Li,Changjian4; Tian,Jie1,4,5,6
Source PublicationJournal of Nanobiotechnology
Corresponding AuthorTian,Jie(
AbstractAbstractHypoxia is a distinguished hallmark of the tumor microenvironment. Hypoxic signaling affects multiple gene expressions, resulting in tumor invasion and metastasis. Quantification of hypoxic status although challenging, can be useful for monitoring tumor development and aggressiveness. However, hypoxia-independent factors such as nonspecific binding and heterogenous probe delivery considerably influence the probe signal thereby disenabling reliable quantitative imaging in vivo. In this study, we designed a self-calibrated activatable nanoprobe Cy7-1/PG5-Cy5@LWHA that specifically detects nitroreductase activity upregulated in hypoxic tumor cells. Dual fluorescence emission of the nanoprobe enables ratiometric calibration and eliminates the target-independent interference. In orthotopic and metastatic breast cancer mouse models, Cy7-1/PG5-Cy5@LWHA demonstrated remarkable hypoxia sensing capability in vivo. Moreover, ratiometric processing provided quantitative hypoxia assessment at different tumor developmental stages and facilitated tumor burden assessment in the metastatic lymph nodes. Therefore, our study demonstrates that ratiometric imaging of Cy7-1/PG5-Cy5@LWHA can be a prospective noninvasive tool to quantitatively monitor tumor hypoxia, which would be beneficial for investigating the fundamental role of hypoxia in tumor progression and for evaluating response to novel anti-hypoxia therapeutics. Furthermore, successful detection of metastatic lymph nodes with the proposed imaging approach illustrates its potential clinical application in assessing lymph node status during surgery.Graphical Abstract
KeywordHypoxia Ratiometric imaging Quantitative Breast cancer
WOS IDBMC:10.1186/s12951-022-01341-9
PublisherBioMed Central
Sub direction classification其他
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Document Type期刊论文
Corresponding AuthorTian,Jie
Affiliation1.Chinese Academy of Sciences; CAS Key Laboratory of Molecular Imaging, Beijing Key Laboratory of Molecular Imaging, the State Key Laboratory of Management and Control for Complex Systems, Institute of Automation
2.University of Chinese Academy of Science; School of Artificial Intelligence
3.University of Shanghai for Science and Technology; Institute of Bismuth Science and School of Materials and Chemistry
4.Beihang University; Beijing Advanced Innovation Center for Big Data-Based Precision Medicine, School of Medicine and Engineering
5.Xidian University; Engineering Research Center of Molecular and Neuro Imaging of Ministry of Education, School of Life Science and Technology
6.Key Laboratory of Big Data-Based Precision Medicine (Beihang University), Ministry of Industry and Information Technology
Recommended Citation
GB/T 7714
Feng,Xin,Li,Yuhao,Zhang,Shiyuan,et al. Quantitative hypoxia mapping using a self-calibrated activatable nanoprobe[J]. Journal of Nanobiotechnology,2022,20(1).
APA Feng,Xin,Li,Yuhao,Zhang,Shiyuan,Li,Changjian,&Tian,Jie.(2022).Quantitative hypoxia mapping using a self-calibrated activatable nanoprobe.Journal of Nanobiotechnology,20(1).
MLA Feng,Xin,et al."Quantitative hypoxia mapping using a self-calibrated activatable nanoprobe".Journal of Nanobiotechnology 20.1(2022).
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