Journal: Molecular genetics and metabolism reports

Article Title: A neuropathological cell model derived from Niemann-Pick disease type C patient-specific iPSCs shows disruption of the p62/SQSTM1-KEAP1-NRF2 Axis and impaired formation of neuronal networks.

doi: 10.1016/j.ymgmr.2021.100784

Figure Lengend Snippet: Fig. 4. NPC patient-derived neurons show reduced neuronal network density. (A) Protocol for differentiation of iPSCs-derived NSCs into neurons. (B) qPCR analysis of neuronal markers in neurons. Run data were analyzed by the ΔΔCt method; cDNA from qPCR Human Reference Total RNA was used as a calibrator and β-ACTIN expression was used for normalization. Data are expressed as fold increases compared with levels in 201B7. *P < 0.05, **P < 0.01, and ***P < 0.001 (ANOVA followed by Tukey’s multiple comparisons test; N = 4, mean ± SEM). (C) Representative images of immunostaining for neuronal markers. Membrane-permeabilized neurons were stained with anti-TUJ1 antibody (green), anti-MAP2 antibody (white), and DAPI (blue). Scale bar = 100 μm. (D) Representative analysis images of TUJ1-positive neurites and DAPI-positive nuclei (scale bar = 200 μm). Neuronal network density was determined as TUJ1-positive %area divided by the number of DAPI-positive cell nuclei (the two latter variables were quantified using FIJI). **P < 0.01, ***P < 0.001 (ANOVA followed by Tukey’s multiple comparisons test; N = 4, mean ± SEM).

Article Snippet: From this total RNA, 500 ng was used for reverse transcription, which was achieved using ReverTra Ace qPCR RT Master Mix with gDNA Remover (TOYOBO Co. Ltd., Osaka, Japan).

Techniques: Derivative Assay, Expressing, Immunostaining, Membrane, Staining