MOESM4 of Dynamic response of microglia/macrophage polarization following demyelination in mice
Tianci Chu
Yi Zhang
Zhisen Tian
Chuyuan Ye
Mingming Zhu
Lisa Shields
Maiying Kong
Gregory Barnes
Christopher Shields
Jun Cai
10.6084/m9.figshare.10001297.v1
https://springernature.figshare.com/articles/figure/MOESM4_of_Dynamic_response_of_microglia_macrophage_polarization_following_demyelination_in_mice/10001297
Additional file 4: Figure S2. Temporal characteristics of M/M polarization and localization (Arg1+Iba1+ and CD86+Iba1+) following dorsal demyelination models. (A, B) Representative photomicrographs of (A) M2 (Arg1+Iba1+) and (B) M1 (CD86+Iba1+) at the dorsal demyelination area in the CTR, LPC, and LPS groups at 3, 10, and 21 dpi. Dashed white line indicates the margins of the dorsal columns. Representative double labelling is indicated by arrowhead and single labelling is indicated by arrow in the inset for better view. Scale bar, 50 μm for panel figure; 20 μm for inset. (C, D) Quantification of cell densities of (C) M2 (Arg1+Iba1+ cells/mm2) and (D) M1 (CD86+Iba1+ cells/mm2) within the dorsal columns at the lesion site in the three groups at 3, 10, and 21 dpi. Cell density was compared to the CTR group (* p < 0.05, **** p < 0.0001) and the LPC group (× × × × p < 0.0001) at each given time-point; for each group, cell density was compared to 3 dpi (## p < 0.01, #### p < 0.0001) and 10 dpi (++++ p < 0.0001). (E, F) Summary of the proportion of M2 (CD206+Iba1+, Arg1Iba1+) and M1 (CD16/32+Iba1+, CD86+Iba1+) in M/M (Iba1+) within the dorsal columns at the lesion site in (E) LPC and (F) LPS demyelination models at 3, 10, and 21 dpi. The cell proportion was compared to 3 dpi (# p < 0.05, #### p < 0.0001) and 10 dpi (+ p < 0.05, +++ p < 0.001, ++++ p < 0.0001) for each group. Data were collected from three animals per group at each time-point (n = 3 mice).
2019-10-18 09:28:27
Multiple sclerosis
Focal demyelination model
Oligodendrocyte/oligodendrocyte progenitor cells
Microglia/macrophage
Neuroinflammation
Sensorimotor function
Diffusion tensor imaging