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Liu F, Hu H, Deng M, Xiang Z, Guo Y, Guan X, Li D, Hu Q, Lei W, Peng H, Chu J. A Bright Monomeric Near-Infrared Fluorescent Protein with an Excitation Peak at 633 nm for Labeling Cellular Protein and Reporting Protein-Protein Interaction. ACS Sens 2022; 7:1855-1866. [PMID: 35775925 DOI: 10.1021/acssensors.2c00286] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
Bright monomeric near-infrared fluorescent proteins (NIR-FPs) are useful as markers for labeling proteins and cells and as sensors for reporting molecular activities in living cells and organisms. However, current monomeric NIR-FPs are dim under excitation with common 633/635/640 nm lasers, limiting their broad use in cellular/subcellular level imaging. Here, we report a bright monomeric NIR-FP with maximum excitation at 633 nm, named mIFP663, engineered from Xanthomonas campestris pv Campestris phytochrome (XccBphP). mIFP663 has high molecular brightness with a large extinction coefficient (86,600 M-1 cm-1) and a decent quantum yield (19.4%), and high cellular brightness that is 3-6 times greater than those of spectrally similar NIR-FPs in HEK293T cells in the presence of exogenous BV. Moreover, we demonstrate that mIFP663 is able to label critical cellular and viral proteins without perturbing subcellular localization and virus replication, respectively. Finally, with mIFP663, we engineer improved bimolecular fluorescence complementation (BiFC) and new bioluminescent resonance energy transfer (BRET) systems to detect protein-protein interactions in living cells.
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Affiliation(s)
- Feng Liu
- Guangdong Provincial Key Laboratory of Biomedical Optical Imaging Technology & Center for Biomedical Optics and Molecular Imaging & CAS Key Laboratory of Health Informatics, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China
| | - Huimin Hu
- State Key Laboratory of Virology, Wuhan Institute of Virology, Center for Biosafety Mega-Science, Chinese Academy of Sciences, Wuhan 430071, China.,Savaid Medical School, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Mengying Deng
- Guangdong Provincial Key Laboratory of Biomedical Optical Imaging Technology & Center for Biomedical Optics and Molecular Imaging & CAS Key Laboratory of Health Informatics, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China
| | - Zongqin Xiang
- Department of Neurosurgery, the First Affiliated Hospital, Jinan University, Guangzhou, Guangdong 510630, China
| | - Yuting Guo
- National Laboratory of Biomacromolecules, CAS Center for Excellence in Biomacromolecules, Institute of Biophysics, Chinese Academy of Sciences, Beijing 100101, China
| | - Xinmeng Guan
- Guangdong Provincial Key Laboratory of Biomedical Optical Imaging Technology & Center for Biomedical Optics and Molecular Imaging & CAS Key Laboratory of Health Informatics, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China
| | - Dong Li
- National Laboratory of Biomacromolecules, CAS Center for Excellence in Biomacromolecules, Institute of Biophysics, Chinese Academy of Sciences, Beijing 100101, China
| | - Qinxue Hu
- State Key Laboratory of Virology, Wuhan Institute of Virology, Center for Biosafety Mega-Science, Chinese Academy of Sciences, Wuhan 430071, China.,Institute for Infection and Immunity, St George's, University of London, London SW17 0RE, United Kingdom
| | - Wenliang Lei
- Guangdong-Hong Kong-Macau Institute of CNS Regeneration, Jinan University, Guangzhou, Guangdong 510630, China
| | - Hongjuan Peng
- Department of Pathogen Biology, Guangdong Provincial Key Laboratory of Tropical Disease Research, School of Public Health, Southern Medical University, Guangzhou 510515, China
| | - Jun Chu
- Guangdong Provincial Key Laboratory of Biomedical Optical Imaging Technology & Center for Biomedical Optics and Molecular Imaging & CAS Key Laboratory of Health Informatics, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China.,Shenzhen Institute of Synthetic Biology, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China.,Shenzhen-Hong Kong Institute of Brain Science, Shenzhen Fundamental Research Institutions, Shenzhen 518055, China
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Bradley LH, Bricken ML, Randle C. Expression, purification, and characterization of proteins from high-quality combinatorial libraries of the mammalian calmodulin central linker. Protein Expr Purif 2010; 75:186-91. [PMID: 20732425 DOI: 10.1016/j.pep.2010.08.007] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2010] [Revised: 08/11/2010] [Accepted: 08/14/2010] [Indexed: 11/28/2022]
Abstract
Combinatorial libraries offer an attractive approach towards exploring protein sequence, structure and function. Although several strategies introduce sequence diversity, the likelihood of identifying proteins with novel functions is increased when the library of genes encodes for folded and soluble structures. Here we present the first application of the binary patterning approach of combinatorial protein library design to the unique central linker region of the highly-conserved protein, calmodulin (CaM). We show that this high-quality approach translates very well to the CaM protein scaffold: all library members over-express and are functionally diverse, having a range of conformations in the presence and absence of calcium as determined by circular dichroism spectroscopy. Collectively, these data support that the binary patterning approach, when applied to the highly-conserved protein fold, can yield large collections of folded, soluble and highly-expressible proteins.
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Affiliation(s)
- Luke H Bradley
- Department of Anatomy & Neurobiology and the Morris K. Udall Center of Parkinson's Disease Research Excellence, University of Kentucky College of Medicine, Lexington, KY 40536, USA.
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Quirk S, Zhong S, Hernandez R. De novoidentification of binding sequences for antibody replacement molecules. Proteins 2009; 76:693-705. [DOI: 10.1002/prot.22382] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
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