Efficient cell surface labelling of live zebrafish embryos: wash-free fluorescence imaging for cellular dynamics tracking and nanotoxicity evaluation.
Hao-Ran JiaYa-Xuan ZhuKe-Fei XuGuang-Yu PanXiaoyang LiuYing QiaoFu-Gen WuPublished in: Chemical science (2019)
Imaging the dynamics and behaviors of plasma membranes is at the leading edge of life science research. We report here the development of a universal red-fluorescent probe Chol-PEG-Cy5 for wash-free plasma membrane labelling both in vitro and in vivo. In aqueous solutions, the fluorescence of Chol-PEG-Cy5 is significantly quenched due to the intermolecular resonance energy transfer (RET) between neighbouring Cy5 moieties; however, upon membrane anchoring, the probes undergo lateral diffusion in lipid bilayers, resulting in weakened RET and turn-on fluorescence emission. We demonstrate that Chol-PEG-Cy5 enables rapid, stable and high-quality in vitro cell surface imaging in a variety of mammalian cells. Additionally, with the assistance of three-dimensional (3D) image reconstruction, we achieve for the first time the whole-mount in situ fluorescence imaging of the epidermal cell surfaces of live zebrafish embryos, which cannot be realized by conventional plasma membrane probes due to the presence of the surface-covering mucus barrier. This novel technique encourages us to track the cellular dynamics of the epidermis during embryonic development with 3D visualization. Moreover, we also develop a new method to evaluate the epidermal toxicity of nanomaterials (e.g., gold nanoparticles and graphene oxide nanosheets) toward zebrafish embryos using this fluorescent probe.
Keyphrases
- fluorescence imaging
- energy transfer
- fluorescent probe
- cell surface
- living cells
- quantum dots
- photodynamic therapy
- gold nanoparticles
- drug delivery
- reduced graphene oxide
- high resolution
- public health
- single cell
- oxidative stress
- molecular dynamics simulations
- wound healing
- fatty acid
- mesenchymal stem cells
- stem cells
- machine learning
- bone marrow