FIGURE

Fig. 6

ID
ZDB-FIG-230122-16
Publication
Gong et al., 2023 - Hyperaminoacidemia induces pancreatic α cell proliferation via synergism between the mTORC1 and CaSR-Gq signaling pathways
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Fig. 6

Synergism of the Gq and mTORC1 pathways is sufficient to induce α cell proliferation.

a Representative images of EdU staining in control, TgαCA-Rheb, TgαGq, and TgαCA-Rheb;TgαGq larvae treated with 1 μM CNO or vehicle for 48 h at 5 dpf. EdU (red)-positive α cells are indicated by arrows (scale bar, 10 μm). b Quantification of α cell numbers in control, TgαCA-Rheb, TgαGq, and TgαCA-Rheb;TgαGq larvae treated with 1 μM CNO or vehicle for 48 h at 5 dpf. (data represent the means ± SD, n = 8, 8, 6, 8, 8, 6, 9, and 11 for each group, respectively). c Quantification of EdU-positive α cell numbers in control, TgαCA-Rheb, TgαGq, and TgαCA-Rheb;TgαGq larvae treated with 1 μM CNO or vehicle for 48 h at 5 dpf (data represent the means ± SD, n = 9 for each group). d Representative images of α cells in control, gcgrDKO, and TgαGq larvae treated with 20 μM CNO or vehicle for 48 h at 5 dpf (scale bar, 10 μm). e Quantification of α cell numbers in control, gcgrDKO and TgαGq larvae treated with 20 μM CNO or vehicle for 48 h at 5 dpf (data represent the means ± SD, n = 9, 9, 9, 9, 5, and 5 for each group, respectively). f Representative images of EdU staining in control, gcgrDKO and TgαGq larvae treated with 20 μM CNO or vehicle for 48 h at 5 dpf. EdU (red)-positive α cells are indicated by arrows (scale bar, 10 μm). g Quantification of EdU-positive α cell numbers in control, gcgrDKO and TgαGq larvae treated with 20 μM CNO or vehicle for 48 h at 5 dpf (data represent the means ± SD, n = 10, 10, 10, 10, 5, and 5 for each group, respectively). *P < 0.05, **P < 0.01, ***P < 0.001, ****P < 0.0001, NS indicates no significant difference (one-way ANOVA, Tukey’s multiple comparisons test, the quantifications represent individual islet sections). Source data are provided as a Source Data file.

Expression Data

Expression Detail
Antibody Labeling
Phenotype Data

Phenotype Detail
Acknowledgments
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