FIGURE

FIGURE 3

ID
ZDB-FIG-220921-46
Publication
Iribarne et al., 2022 - Different inflammation responses modulate Müller glia proliferation in the acute or chronically damaged zebrafish retina
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FIGURE 3

LPS-activated microglia enhance Müller glia proliferation in NMDA-injured retina and gosh mutant. Three wpf Tg(mpeg1:eGFP) fish with either PBS (AC) or LPS (BD) and injected 3 h slater with either buffer (A,B) or NMDA (CE) and collected 69 h later for immunostaining. Microglia/macrophages are visualized with the transgenic line. LPS-treated control retinas display a significantly greater number of PCNA-positive ONL cells compared to control retinas (A,B,H). LPS-treatment of NMDA-damaged retinas significantly increases the numbers of activated microglia/macrophages and proliferating cells compared to PBS-injected NMDA-injured retinas (C,D,FH). LPS-treatment of NMDA-damaged retinas with ablated microglia/macrophages display significantly fewer microglia/macrophages and PCNA-positive cells (EH). LPS-injected gosh mutant eyes significantly increase microglia/macrophages reactivity and PCNA-labeled INL and ONL cells (K,L,NP). LPS-injected gosh mutant fish with ablated microglia/macrophages possess significantly fewer microglia/macrophages and PCNA-positive cells (MP). Histograms display the quantification of the number of eGFP-positive microglia/macrophages (F) or PCNA-labeled cells (G,H) in 300 μm of the central region of the NMDA-damaged retinas or in the entire section of gosh mutant retinas (NP). Bars and lines indicate mean ± SEM, n = 12–17. Black bars: PBS injection; green bars: LPS injection; green bars with purple fill: LPS and ablated microglia/macrophages. Panels F and N: black dots display total number of mpeg:GFP + cells in the retina, and pink dots show total number of mpeg:GFP + cells in the inner retina. Two-way ANOVA with Tukey’s multiple comparisons test was applied for all the graphs (ns p > 0.05; *p < 0.05; **p < 0.01; ***p < 0.001).

Expression Data

Expression Detail
Antibody Labeling
Phenotype Data

Phenotype Detail
Acknowledgments
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