Fig. 5: Immunohistochemistry staining and quantitative analysis of amyloid plaque burden in APP-PS1 mice vs WT. | Nature Communications

Fig. 5: Immunohistochemistry staining and quantitative analysis of amyloid plaque burden in APP-PS1 mice vs WT.

From: Discovery of NIRF theranostic probes targeting amyloid-β and cholinesterases in Alzheimer’s disease models

Fig. 5: Immunohistochemistry staining and quantitative analysis of amyloid plaque burden in APP-PS1 mice vs WT.

a Representative tile-scan images of brain sections from wild-type (WT) mice at 13 months showed no amyloid plaque deposition, as confirmed by OC and I-43 staining. Panel a1 shows a magnified view of the boxed region in panel a. Brain sections from APP-PS1 mice at 6 and 13 months, respectively, showing progressive increase in plaque density with age, confirmed by colocalized staining with OC and I-43. Panels b1, and c1, are magnified views of boxed regions in b and c, respectively. Scale bars: 500 μm (ac); 100 μm (a1c1). d Statistical correlation plots, wherein the (d1) plot represents the measurement of plaque-associated signals in brain sections stained with I-43 and OC, were generated from the ImageJ quantification tool. Statistical data in the bar graph are mean ± SD, n = 10 independent biological samples; ordinary one-way ANOVA followed by Dunnett’s post hoc test; ****P < 0.0001 and *P = 0.0431. d2 Integrated Fl intensity of I-43 in both 6- and 13-month age groups of APP-PS1 mice and statistical difference of data set are mean ± SD determined using two-tailed paired t-test (n = 8; **P = 0.0066). e, f Z-stack projection images (up to ~60 μm depth) from APP-PS1 brain sections (13 months old) stained with I-43 alone (e) or dual-stained with I-43 and OC (f). The e1 and f1 images are color-coded projections of (e and f), respectively, measuring the fluorescence signal strength of I-43 associated with amyloid plaques, ranging from the upper layers to deeper tissue layers, using λex/em = 633/700 nm. These projection images are derived using Zeiss Zen (v3.10.103) software, a free software tool for analyzing confocal fluorescence imaging data. Source data are provided as a Source Data file.

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