Journal: Advanced Science
Article Title: Identification of Potent siRNA Delivery Peptides Using Computer Modeling
doi: 10.1002/advs.202308345
Figure Lengend Snippet: The cytotoxicity test of candidate peptides. a) Comparison of cytotoxicity of each nano‐vector by MTT assay ( n = 3, data are presented as means ± SDs, and the significant differences were analyzed by one‐way ANOVA with Tukey's multiple comparisons test. * p < 0.05; ** p < 0.01). b) Morphological changes in the cells treated with various vectors; Scale bars: 25 µm. c–f) C57BL/6 mice were injected with various cationic peptides ( n = 3). Hematoxylin‐eosin (HE) staining (c), TUNEL staining (d), and immunofluorescence staining of MPO+ (e) and Gr‐1 + cells (f) in representative mouse lung sections 24 h after injection are presented. g) Histogram of (c–f). ( n = 3, data are presented as means ± SDs, and the significant differences were analyzed by two‐tailed unpaired t‐test. ns, not significant, * p < 0.05, ** p < 0.01, *** p < 0.001, **** p < 0.0001). h) Comparison of the characteristics of predicted peptides. The number of dots represents the score.
Article Snippet: The slides were immersed with primary antibodies against Gr‐1 (BD Biosciences, 1:50), MPO (Proteintech, 1:50), KI67 (Abcam, 1:50), F4/80 (CST, 1:50), and CD206 (CST, 1:50) at 4°C pass the night and then incubated 1 h with secondary antibodies at RT.
Techniques: Comparison, Plasmid Preparation, MTT Assay, Injection, Staining, TUNEL Assay, Immunofluorescence, Two Tailed Test