4.8 Article

Harnessing α-L-fucosidase for in vivo cellular senescence imaging

Journal

CHEMICAL SCIENCE
Volume 12, Issue 29, Pages 10054-10062

Publisher

ROYAL SOC CHEMISTRY
DOI: 10.1039/d1sc02259h

Keywords

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Funding

  1. National Research Foundation of Korea [2018R1A3B1052702, 2019M3E5D1A01068998, 2020H1D3A1A02080172, 2020R1A6A3A01100551, 2020R1A6A3A01100558, 2019R1A6A1A10073079]
  2. National Research Foundation of China [21788102]
  3. Department of Biotechnology, New Delhi (Ramalingaswami Fellowship 2019) [BT/RLF/Re-entry/59/2018]
  4. Robert A. Welch Foundation [F-0018]
  5. National Research Foundation of Korea [2020R1A6A3A01100551, 2020H1D3A1A02080172, 2019R1A6A1A10073079, 2020R1A6A3A01100558, 2019M3E5D1A01068998] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)

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The study showed that QM-NH alpha fuc proved effective in detecting various types of cellular senescence, including replicative, ROS, UVA, and drug-induced senescence, as well as identifying senescent cells lacking beta-gal expression. Additionally, the non-invasive real-time senescence tracking provided by QM-NH alpha fuc was validated in an in vivo senescence model. The results suggest that QM-NH alpha fuc could emerge as a useful tool for investigating senescence processes in biological systems.
Precise detection of cellular senescence may allow its role in biological systems to be evaluated more effectively, while supporting studies of therapeutic candidates designed to evade its detrimental effect on physical function. We report here studies of alpha-l-fucosidase (alpha-fuc) as a biomarker for cellular senescence and the development of an alpha-fuc-responsive aggregation induced emission (AIE) probe, termed QM-NH alpha fuc designed to complement more conventional probes based on beta-galactosidase (beta-gal). Using QM-NH alpha fuc, the onset of replicative-, reactive oxygen species (ROS)-, ultraviolet A (UVA)-, and drug-induced senescence could be probed effectively. QM-NH alpha fuc also proved capable of identifying senescent cells lacking beta-gal expression. The non-invasive real-time senescence tracking provided by QM-NH alpha fuc was validated in an in vivo senescence model. The results presented in this study lead us to suggest that the QM-NH alpha fuc could emerge as a useful tool for investigating senescence processes in biological systems.

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