FB2026_03 , released September 17, 2026
Reference Report
Open Close
Reference
Citation
Deshpande, P., Gogia, N., Chimata, A.V., Singh, A. (2021). Unbiased automated quantitation of ROS signals in live retinal neurons of Drosophila using Fiji/ImageJ.  BioTechniques 71(2): 416--424.
FlyBase ID
FBrf0250124
Publication Type
Research paper
Abstract
Numerous imaging modules are utilized to study changes that occur during cellular processes. Besides qualitative (immunohistochemical) or semiquantitative (Western blot) approaches, direct quantitation method(s) for detecting and analyzing signal intensities for disease(s) biomarkers are lacking. Thus, there is a need to develop method(s) to quantitate specific signals and eliminate noise during live tissue imaging. An increase in reactive oxygen species (ROS) such as superoxide (O2•-) radicals results in oxidative damage of biomolecules, which leads to oxidative stress. This can be detected by dihydroethidium staining in live tissue(s), which does not rely on fixation and helps prevent stress on tissues. However, the signal-to-noise ratio is reduced in live tissue staining. We employ the Drosophila eye model of Alzheimer's disease as a proof of concept to quantitate ROS in live tissue by adapting an unbiased method. The method presented here has a potential application for other live tissue fluorescent images.
PubMed ID
PubMed Central ID
PMC10288391 (PMC) (EuropePMC)
Associated Information
Comments
Associated Files
Other Information
Secondary IDs
    Language of Publication
    English
    Additional Languages of Abstract
    Parent Publication
    Publication Type
    Journal
    Abbreviation
    BioTechniques
    Title
    BioTechniques
    Publication Year
    1983-
    ISBN/ISSN
    0736-6205
    Data From Reference
    Genes (3)
    Human Disease Models (1)