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Resources » Paper

Wang C et al. (2021) Cytometry A "Innovative fluorescent probes for in vivo visualization of biomolecules in living Caenorhabditis elegans."

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  • Comments on Wang C et al. (2021) Cytometry A "Innovative fluorescent probes for in vivo visualization of biomolecules in living Caenorhabditis elegans." (0)

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    PMID:
    Status:
    Publication type:
    Review
    WormBase ID:
    WBPaper00061102

    Wang C, Xia C, Zhu Y, & Zhang H (2021). Innovative fluorescent probes for in vivo visualization of biomolecules in living Caenorhabditis elegans. Cytometry A. doi:10.1002/cyto.a.24325

    Caenorhabditis elegans (C. elegans) as a well-established multicellular model organism has been widely used in the biological field for half a century. Its numerous advantages including small body size, rapid life cycle, high-reproductive rate, well-defined anatomy, and conserved genome, has made C. elegans one of the most successful multicellular model organisms. Discoveries obtained from the C. elegans model have made great contributions to research fields such as development, aging, biophysics, immunology, and neuroscience. Because of its transparent body and giant cell size, C. elegans is also an ideal subject for high resolution and high-throughput optical imaging and analysis. During the past decade, great advances have been made to develop biomolecule-targeting techniques for noninvasive optical imaging. These novel technologies expanded the toolbox for qualitative and quantitative analysis of biomolecules in C. elegans. In this review, we summarize recently developed fluorescent probes or labeling techniques for visualizing biomolecules at the cellular, subcellular or molecular scale by using C. elegans as the major model organism or designed specifically for the applications in C. elegans. Combining the technological advantages of the C. elegans model with the novel fluorescent labeling techniques will provide new horizons for high-efficiency quantitative optical analysis in live organisms.

    We thank Huimin Zhang for curating this paper through ACKnowledge (Author Curation to Knowledgebase) 👍

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