| Literature DB >> 32879761 |
Yan Shao1,2, Jianglei Chen2, Xiao-Rong Li1, Jian-Xing Ma2,3.
Abstract
Purpose: The retina is a commonly used model for angiogenesis research due to its special characteristics. Oxygen-induced retinopathy (OIR) provides a useful model to study ischemia-induced neovascularization (NV) and to develop anti-angiogenic therapeutics. The purpose of this study was to develop a simple, accurate, and less-subjective quantification method for retinal NV in the OIR model.Entities:
Keywords: BrdU; angiogenesis; oxygen-induced retinopathy; retinal neovascularization
Mesh:
Substances:
Year: 2020 PMID: 32879761 PMCID: PMC7442870 DOI: 10.1167/tvst.9.9.4
Source DB: PubMed Journal: Transl Vis Sci Technol ISSN: 2164-2591 Impact factor: 3.283
Figure 1.Detection of BrdU-labeled neovasculature in the OIR mouse retina. (a) The scheme of the OIR mouse model and experimental design. (b) Representative images of immunostaining of the flat-mounted retinas of OIR mice (P12, P14, P16, and P18). Isolectin B4 (lectin)-stained total retinal vascular networks and BrdU-labeled retinal neovasculature. Images were taken using an Olympus fluorescence microscope and converted to 16-bit images using Adobe Photoshop. The gray BrdU positive staining is indicated by yellow arrows. (c–e) High-magnification (60× objective) images of the retinal vascular tufts and neovasculature at different stages of OIR captured under a confocal microscope.
Figure 2.Quantification of NV in the retina of OIR mice using BrdU staining. (a) Lectin (red) and BrdU (green) immunostaining of one petal (five petals each retina) of the flat-mounted retina of the OIR mouse. The dissection edges of each petal are indicated by white arrows. (b) Quantification of BrdU staining (green) area as a percentage of the total vascular networks on each OIR mouse retina (mean ± SEM; n = 5; **P < 0.01, ***P < 0.001), and the quantification method for the BrdU-positive neovasculature. (c) An original image taken under a confocal microscope (60×). (d) The inverted red channel using ImageJ. (e) The inverted green channel using ImageJ. (f) Regions of interest (ROI) created in ImageJ based on vascular network selection. (g) The green fluorescence channel overlapped the ROI created for vascular network selection. (h) The mask created in ImageJ to measure the area of the vascular networks.
Figure 3.Evaluation of the effect of an anti-VEGF antibody on retinal NV in OIR mice. OIR mice received an intravitreal injection of the anti-VEGF antibody (1 μg/eye) at P14, with the same amount of non-specific murine IgG for control. (a) Representative images of immunochemistry staining of lectin and BrdU on the flat-mounted retina of P18 normoxic control (Ctr-P18), OIR mice injected with control IgG (OIR-P18), and OIR mice with the anti-VEGF antibody (OIR-P18-antiVEGF). The images were taken under a fluorescence microscope. The gray BrdU-positive staining is indicated by yellow arrows. (b) Confocal images of one petal of flat-mounted retinas of P18-Ctr, P18-OIR, and OIR-P18-antiVEGF mice stained with lectin and BrdU. (c) Quantification of BrdU-positive NV area as a percentage of total vascular networks (mean ± SEM; n = 5; ***P < 0.001).