An In Vivo Fluorescence Resonance Energy Transfer-Based Imaging Platform for Targeted Drug Discovery and Cancer Therapy
- 1Cancer Center, Faculty of Health Sciences, University of Macau, Macau SAR, China
- 2Department of Biology, School of Life Sciences, Guangdong Provincial Key Laboratory of Computational Science and Material Design, Southern University of Science and Technology, Shenzhen, China
- 3Guangdong Provincial Key Laboratory of Biomedical Imaging and Guangdong Provincial Engineering Research Center of Molecular Imaging, The Fifth Affiliated Hospital, Sun Yat-sen University, Zhuhai, China
- 4Centre of Reproduction, Development and Aging, Faculty of Health Sciences, University of Macau, Macau SAR, China
- 5School of Life and Health Sciences, The Chinese University of Hong Kong, Shenzhen, China
A Corrigendum on:
An in vivo fluorescence resonance energy transfer - based imaging platform for targeted drug discovery and cancer therapy
by Xing F, Ai N, Huang S, Jiang C, Mughal MJ, Ge W, Wang G and Deng C-X (2022). Front. Bioeng. Biotechnol. 10:839078. doi: 10.3389/fbioe.2022.839078
In the published article, there was an error in the author list. The authors Nana Ai, Wei Ge, and Chu-Xia Deng were erroneously excluded. The corrected author list appears below.
“Fuqiang Xing1,2,3, Nana Ai4, Shigao Huang1, Cheng Jiang5, Muhammad Jameel Mughal1, Wei Ge4, Guanyu Wang2,5* and Chu-Xia Deng1*”.
The affiliations list, author contributions, and acknowledgements statements were updated to reflect the addition of these authors.
Author contributions
CD and WG designed the research, and edited the manuscript. FX and NA performed experiments. FX, GW, and SH analyzed the data, and wrote the manuscript. CJ and MJM revised the manuscript. All authors read and approved the final manuscript.
Funding
This work was partly supported by Shenzhen Peacock Plan (KQTD2016053117035204), the National Natural Science Foundation of China (32070681, 61773196), Guangdong Provincial Key Laboratory Fund (2019B030301001), Shenzhen Research Funds (JCYJ20170817104740861), the National Key R&D plan project (2019YFA0906002), Center for Computational Science and Engineering of Southern University of Science and Technology, and Shenzhen Science and Technology Innovation Committee EF040/FHS-DCX/2021/SZSTIC.
Acknowledgments
We would like to acknowledge professor Kathy Luo (Faculty of Health Sciences, University of Macau) for providing C3 plasmid to generate 231-C3, A549-C3, and HepG2-C3 cancer cell lines. The authors apologize for this error and state that this does not change the scientific conclusions of the article in any way. The original article has been updated.
Publisher’s note
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.
Keywords: apoptosis, cancer therapy, drug discovery, FRET technique, xenograft model
Citation: Xing F, Ai N, Huang S, Jiang C, Mughal MJ, Ge W, Wang G and Deng C-X (2022) Corrigendum: An in vivo fluorescence resonance energy transfer-based imaging platform for targeted drug discovery and cancer therapy. Front. Bioeng. Biotechnol. 10:1039177. doi: 10.3389/fbioe.2022.1039177
Received: 07 September 2022; Accepted: 08 September 2022;
Published: 26 September 2022.
Approved by:
Frontiers in Editorial Office, Frontiers Media SA, SwitzerlandCopyright © 2022 Xing, Ai, Huang, Jiang, Mughal, Ge, Wang and Deng. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Guanyu Wang, d2FuZ2d1YW55dUBjdWhrLmVkdS5jbg==; Chu-Xia Deng, Y3hkZW5nQHVtLmVkdS5tbw==