Fig. 6: Targeting ability of NO-Lip@PAC NMs in GBM model mice.
From: Size-variable self-feedback nanomotors for glioblastoma therapy via mitochondrial mineralization
a Schematic diagram of the assessment of the targeting ability of different samples in a GBM model mouse; In vivo fluorescence imaging of mice injected with (b) PBS, (c) Lip@PAC or (d) NO-Lip@PAC at various time points (n = 5 independent samples). e Quantification of the mean fluorescence intensities of the brain sites from mice in (b–d) at various time points (I: PBS, II: Lip@PLC, III: NO-Lip@PAC, n = 5 independent samples). f Cy5 fluorescence imaging of the brain after intravenous injection of different samples for 24 h (n = 5 independent samples; Scale bar: 1 cm) and (g) the corresponding quantitative analysis (I: Control, II: Lip@PLC, III: NO-Lip@PAC, n = 5 independent samples). h Quantitative analysis of different sample accumulations in major organs, expressed as injected dose per gram of tissue (% ID/g) (n = 5 independent samples). i Representative CLSM images of brain tumors in mice (Blue: nucleus, green: FITC-CD31, red: Cy5-labeled different samples; Scale bar: 500 μm) and (j) red fluorescence distribution curves (I: PBS, II: Lip@PLC, III: NO-Lip@PAC) along selected lines (indicated by white lines in the images). Data in g and h were presented as mean ± SD. Significance was calculated via a two-tailed unpaired Student’s t test in (g, h). Source data are provided as a Source Data file.
