Automated E-FRET microscope for dynamical live-cell FRET imaging

被引:15
|
作者
Zhang, C. [1 ,2 ]
Liu, Y. [1 ,2 ]
Sun, H. [1 ,2 ]
Lin, F. [1 ,2 ]
Ma, Y. [1 ,2 ]
Qu, W. [1 ,2 ]
Chen, T. [1 ,2 ]
机构
[1] South China Normal Univ, Coll Biophoton, Guangzhou 510631, Guangdong, Peoples R China
[2] South China Normal Univ, MOE Lab Laser Life Sci, Guangzhou 510631, Guangdong, Peoples R China
基金
中国国家自然科学基金;
关键词
Biochemical signal transduction; FRET; microscope; system design; QUANTIFICATION; TRANSLOCATION; EFFICIENCY;
D O I
10.1111/jmi.12783
中图分类号
TH742 [显微镜];
学科分类号
摘要
Acceptor-sensitised 3-cube fluorescence resonance energy transfer (FRET) imaging (also termed as E-FRET imaging) is a popular fluorescence intensity-based FRET quantification method. Here, an automated E-FRET microscope with user-friendly interfaces was set up for dynamical online quantitative live-cell FRET imaging. This microscope reduces the time of a quantitative E-FRET imaging from 12 to 3 s. After locating cells, calibration of the microscope and E-FRET imaging of the cells can be performed automatically by clicking 'Capture' button on interfaces. E-FRET imaging was performed on the microscope for living cells expressing different FRET tandem constructs. Dynamical E-FRET imaging on the microscope for live cells coexpressing CFP-Bax and YFP-Bax treated by staurosporine (STS) revealed three Bax redistribution stages: Bax translocation from cytosol to mitochondria within 10 min, membrane insertion with conformational change on mitochondrial membrane within about 30 min, and subsequent oligomerisation within about 10 min. Because of excellent user-friendly interface and stability, the automated E-FRET microscope is a convenient tool for quantitative FRET imaging of living cell. Lay Description Acceptor-sensitised 3-cube fluorescence resonance energy transfer (FRET) imaging (also termed as E-FRET) is a popular fluorescence intensity-based FRET quantification methods. E-FRET measurements are currently performed manually, and a complete FRET measurement takes about 12 s. E-FRET measurement necessitates not only a skilled operator and specialised equipment but also expertise in the interpretation of FRET signals, a considerable challenge in the application of FRET technology in living cells. Furthermore, manual E-FRET microscope is hard to perform dynamical quantitative FRET measurement, the ever-increasing applications in mapping the biochemical signal transduction within cells. Here, an automated E-FRET microscope with user-friendly interfaces was set up for dynamical online quantitative live-cell FRET imaging. This microscope reduces the time of a quantitative E-FRET imaging from 12 to 3 s. After locating cells, calibration of the microscope and E-FRET imaging of the cells can be performed automatically by clicking 'Capture' button on interfaces. Because of excellent user-friendly interface and stability, the automated E-FRET microscope is a convenient tool for quantitative FRET imaging of living cell.
引用
收藏
页码:45 / 54
页数:10
相关论文
共 50 条
  • [21] Live Cell Imaging of Src/FAK Signaling by FRET
    Seong, Jihye
    Lu, Shaoying
    Wang, Yingxiao
    CELLULAR AND MOLECULAR BIOENGINEERING, 2011, 4 (02) : 138 - 147
  • [22] Live Cell Imaging of Src/FAK Signaling by FRET
    Jihye Seong
    Shaoying Lu
    Yingxiao Wang
    Cellular and Molecular Bioengineering, 2011, 4 : 138 - 147
  • [23] PII Protein-Derived FRET Sensors for Quantification and Live-Cell Imaging of 2-Oxoglutarate
    Lueddecke, Jan
    Francois, Liliana
    Spaet, Philipp
    Watzer, Bjoern
    Chilczuk, Tomasz
    Poschet, Gernot
    Hell, Ruediger
    Radlwimmer, Bernhard
    Forchhammer, Karl
    SCIENTIFIC REPORTS, 2017, 7
  • [24] PII Protein-Derived FRET Sensors for Quantification and Live-Cell Imaging of 2-Oxoglutarate
    Jan Lüddecke
    Liliana Francois
    Philipp Spät
    Björn Watzer
    Tomasz Chilczuk
    Gernot Poschet
    Rüdiger Hell
    Bernhard Radlwimmer
    Karl Forchhammer
    Scientific Reports, 7
  • [25] Methods for automating the analysis of live-cell single-molecule FRET data
    Meszaros, Jozsef
    Geggier, Peter
    Manning, Jamie J.
    Asher, Wesley B.
    Javitch, Jonathan A.
    FRONTIERS IN CELL AND DEVELOPMENTAL BIOLOGY, 2023, 11
  • [26] programmably engineered FRET-nanoflare for ratiometric live-cell ATP imaging with anti-interference capability
    Wu, Hongyu
    Zhang, Chengwen
    Zhu, Fulin
    Zhu, Yu
    Lu, Xinhui
    Wan, Ying
    Su, Shao
    Chao, Jie
    Wang, Lianhui
    Zhu, Dan
    CHEMICAL COMMUNICATIONS, 2023, 59 (27) : 4047 - 4050
  • [27] Live-Cell Imaging of Physiologically Relevant Metal Ions Using Genetically Encoded FRET-Based Probes
    Bischof, Helmut
    Burgstaller, Sandra
    Waldeck-Weiermair, Markus
    Rauter, Thomas
    Schinagl, Maximilian
    Ramadani-Muja, Jeta
    Graier, Wolfgang E.
    Malli, Roland
    CELLS, 2019, 8 (05)
  • [28] Visualization of intracellular calcium transport between cells using high frequency ultrasound and FRET live-cell imaging
    Rho, Sunghoon
    Hwang, Gyoyeon
    Kim, Jihun
    Moon, Sunho
    Yoon, Sangpil
    PROCEEDINGS OF THE 2020 IEEE INTERNATIONAL ULTRASONICS SYMPOSIUM (IUS), 2020,
  • [29] Application of FRET Biosensors and Computational Analysis for Live Cell Imaging
    Lu, Shaoying
    Wang, Yingxiao
    FLUORESCENCE IN VIVO IMAGING BASED ON GENETICALLY ENGINEERED PROBES: FROM LIVING CELLS TO WHOLE BODY IMAGING IV, 2009, 7191
  • [30] Add and Go: FRET Acceptor for Live-Cell Measurements Modulated by Externally Provided Ligand
    Gavrikov, Alexey S.
    Bozhanova, Nina G.
    Baranov, Mikhail S.
    Mishin, Alexander S.
    INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES, 2022, 23 (08)