Skin-iDISCO+: An optimized tissue-clearing and labeling protocol for morphometric analysis of human cutaneous vasculature
Year: 2024
Type: article
Abstract: Tissue clearing enables deep imaging of long biological structures using light microscopy approaches. Protocols such as iDISCO are not currently available for human skin. Here, we present Skin-iDISCO + , a tissue-clearing and labeling protocol for morphometric analysis of human cutaneous vasculature. We describe steps for processing and pre-treating tissue, immunostaining, clearing, and imaging using confocal and light-sheet fluorescence microscopy. We then detail procedures for the reconstruction of networks and the extraction of morphometric parameters of the skin vasculature. For complete details on the use and execution of this protocol, please refer to Renier et al. 1 • Protocol for efficient decolorization of skin pigments • Faster protocol while limiting architectural and molecular deformations of biopsies • Validated antibody panel revealing every cellular component of human vasculature • Semi-automated analysis pipeline for the study of morphometric parameters of vessels Publisher’s note: Undertaking any experimental protocol requires adherence to local institutional guidelines for laboratory safety and ethics. Tissue clearing enables deep imaging of long biological structures using light microscopy approaches. Protocols such as iDISCO are not currently available for human skin. Here, we present Skin-iDISCO + , a tissue-clearing and labeling protocol for morphometric analysis of human cutaneous vasculature. We describe steps for processing and pre-treating tissue, immunostaining, clearing, and imaging using confocal and light-sheet fluorescence microscopy. We then detail procedures for the reconstruction of networks and the extraction of morphometric parameters of the skin vasculature.
Source: STAR Protocols
Institutions: Inserm, BoRdeaux Institute of onCology, Bordeaux Imaging Center
Language: English
Subfield: Biophysics
Domain: Life Sciences
Open Access status: gold
Estimated APC paid: $1,500
Funder: Conseil Régional Aquitaine
Award: G4772001100
OpenAlex ID: W4405631330
