Bright Molecular Strain Probe Templates for Reporting Protein-Protein Interactions

被引:0
|
作者
Kim, Sung-Bae [1 ]
Furuta, Tadaomi [2 ]
Kamiya, Genta [3 ]
Kitada, Nobuo [3 ]
Paulmurugan, Ramasamy [4 ]
Maki, Shojiro A. [3 ]
机构
[1] Natl Inst Adv Ind Sci & Technol, Environm Management Res Inst EMRI, Tsukuba 3058569, Japan
[2] Tokyo Inst Technol, Sch Life Sci & Technol, Yokohama 2268501, Japan
[3] Univ Electrocommun, Grad Sch Informat & Engn, Dept Engn Sci, Chofu 1828585, Japan
[4] Stanford Univ, Mol Imaging Program Stanford, Biox Program, Sch Med, Palo Alto, CA 94304 USA
基金
日本学术振兴会;
关键词
molecular strain probe; protein-protein interactions; Renilla luciferase; artificial luciferase; bioluminescence; template; FRAGMENT COMPLEMENTATION; ARTIFICIAL LUCIFERASES; ASSAYS; CELLS;
D O I
10.3390/s23073498
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
Imaging protein-protein interactions (PPIs) is a hot topic in molecular medicine in the postgenomic sequencing era. In the present study, we report bright and highly sensitive single-chain molecular strain probe templates which embed full-length Renilla luciferase 8.6-535SG (RLuc86SG) or Artificial luciferase 49 (ALuc49) as reporters. These reporters were deployed between FKBP-rapamycin binding domain (FRB) and FK506-binding protein (FKBP) as a PPI model. This unique molecular design was conceptualized to exploit molecular strains of the sandwiched reporters appended by rapamycin-triggered intramolecular PPIs. The ligand-sensing properties of the templates were maximized by interface truncations and substrate modulation. The highest fold intensities, 9.4 and 16.6, of the templates were accomplished with RLuc86SG and ALuc49, respectively. The spectra of the templates, according to substrates, revealed that the colors are tunable to blue, green, and yellow. The putative substrate-binding chemistry and the working mechanisms of the probes were computationally modeled in the presence or absence of rapamycin. Considering that the molecular strain probe templates are applicable to other PPI models, the present approach would broaden the scope of the bioassay toolbox, which harnesses the privilege of luciferase reporters and the unique concept of the molecular strain probes into bioassays and molecular imaging.
引用
收藏
页数:16
相关论文
共 50 条
  • [41] Exploring protein-protein interactions with phage display
    Sidhu, SS
    Fairbrother, WJ
    Deshayes, K
    CHEMBIOCHEM, 2003, 4 (01) : 14 - 25
  • [42] Investigating the dynamics of protein-protein interactions in plants
    Zhang, Youjun
    Chen, Moxian
    Liu, Tieyuan
    Qin, Kezhen
    Fernie, Alisdair R.
    PLANT JOURNAL, 2023, 114 (04) : 965 - 983
  • [43] Technologies for the identification and validation of protein-protein interactions
    Pichlerova, Karoline
    Hanes, Jozef
    GENERAL PHYSIOLOGY AND BIOPHYSICS, 2021, 40 (06) : 495 - 522
  • [44] Targeting Protein-Protein Interactions in the HIF System
    Wilkins, Sarah E.
    Abboud, Martine I.
    Hancock, Rebecca L.
    Schofield, Christopher J.
    CHEMMEDCHEM, 2016, 11 (08) : 773 - 786
  • [45] Computational Methods for the Prediction of Protein-Protein Interactions
    Xia, Jun-Feng
    Wang, Shu-Lin
    Lei, Ying-Ke
    PROTEIN AND PEPTIDE LETTERS, 2010, 17 (09) : 1069 - 1078
  • [46] Protein-Protein Interactions and Prediction: A Comprehensive Overview
    Sowmya, Gopichandran
    Ranganathan, Shoba
    PROTEIN AND PEPTIDE LETTERS, 2014, 21 (08) : 779 - 789
  • [47] Optical Methods in the Study of Protein-Protein Interactions
    Masi, Alessio
    Cicchi, Riccardo
    Carloni, Adolfo
    Pavone, Francesco Saverio
    Arcangeli, Annarosa
    INTEGRINS AND ION CHANNELS: MOLECULAR COMPLEXES AND SIGNALING, 2010, 674 : 33 - 42
  • [48] Cold spots are universal in protein-protein interactions
    Gurusinghe, Sagara N. S.
    Oppenheimer, Ben
    Shifman, Julia M.
    PROTEIN SCIENCE, 2022, 31 (10)
  • [49] Methods for the detection and analysis of protein-protein interactions
    Berggard, Tord
    Linse, Sara
    James, Peter
    PROTEOMICS, 2007, 7 (16) : 2833 - 2842
  • [50] A Discontinuous Potential Model for Protein-Protein Interactions
    Shao, Qing
    Hall, Carol K.
    FOUNDATIONS OF MOLECULAR MODELING AND SIMULATION, 2016, : 1 - 20