FB2026_01 , released March 12, 2026
FB2026_01 , released March 12, 2026
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Fujita, H., Kaneshiro, J., Takeda, M., Sasaki, K., Yamamoto, R., Umetsu, D., Kuranaga, E., Higo, S., Kondo, T., Asano, Y., Sakata, Y., Miyagawa, S., Watanabe, T.M. (2023). Estimation of crossbridge-state during cardiomyocyte beating using second harmonic generation.  Life Sci Alliance 6(7): e202302070.
FlyBase ID
FBrf0256585
Publication Type
Research paper
Abstract
Estimation of dynamic change of crossbridge formation in living cardiomyocytes is expected to provide crucial information for elucidating cardiomyopathy mechanisms, efficacy of an intervention, and others. Here, we established an assay system to dynamically measure second harmonic generation (SHG) anisotropy derived from myosin filaments depended on their crossbridge status in pulsating cardiomyocytes. Experiments utilizing an inheritable mutation that induces excessive myosin-actin interactions revealed that the correlation between sarcomere length and SHG anisotropy represents crossbridge formation ratio during pulsation. Furthermore, the present method found that ultraviolet irradiation induced an increased population of attached crossbridges that lost the force-generating ability upon myocardial differentiation. Taking an advantage of infrared two-photon excitation in SHG microscopy, myocardial dysfunction could be intravitally evaluated in a Drosophila disease model. Thus, we successfully demonstrated the applicability and effectiveness of the present method to evaluate the actomyosin activity of a drug or genetic defect on cardiomyocytes. Because genomic inspection alone may not catch the risk of cardiomyopathy in some cases, our study demonstrated herein would be of help in the risk assessment of future heart failure.
PubMed ID
PubMed Central ID
PMC10215972 (PMC) (EuropePMC)
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Secondary IDs
    Language of Publication
    English
    Additional Languages of Abstract
    Parent Publication
    Publication Type
    Journal
    Abbreviation
    Life Sci Alliance
    Title
    Life science alliance
    ISBN/ISSN
    2575-1077
    Data From Reference
    Genes (1)
    Human Disease Models (2)