EMBO/SourceData huggingface dataset:
Figure 4D-E - Percentage of (D) total IWAT SVF cells and (E) IWAT MΦ expressing ChAT-eGFP in reporter mice with genetic deletion combinations of β-ARs 1, 2 and 3 following treatment with veh (white bar: n = 7) or 1 mg/kg NE (black bars: from left to right, n = 7, 5, 4, 5, 4, 7) for 2 h.F - LC/MS-MS quantification of acetylcholine levels secreted by SVF cells derived from IWAT of β2WT and β2KO mice treated with veh or 1 mg/kg Form for 2 h (n = 3).M - Left: BMDMs were treated for 2 h with veh or pan β-AR agonist (100 μM NE), β2-AR antagonist (5 μM butoxamine, Buto) or a combination of NE and β2 antagonist (Buto) (n = 6). Chat mRNA expression was measured by qPCR and normalized to levels of Tbp using the 2-ΔΔCt method. Right: Total number of ChAT-eGFP+ BMDMs. ChAT-eGFP BMDMs were treated for 2 h with veh or pan β-AR agonist (100 μM NE), β2-AR antagonist (5 μM butoxamine, Buto) or a combination of NE and β2-AR antagonist (Buto) (n = 4). An equal number of events (50,000) were analyzed by flow cytometry.N - Left: Bicompartmental co-culture system with media alone (Ctrl) or WT SVF cells isolated from IWAT in the upper compartment (transwell insert) and freshly isolated IWAT explants from β-less mice in the lower compartment. Cells were co-cultured for 4 h in the presence or absence of β2-AR agonist (2.5 μM Form). 150 μM rivastigmine was added to the media to prevent degradation of Ach. Right: qPCR analyses of Chat and Ucp1 mRNA levels in β‑less explants following co-culture with media (n = 4), vehicle (n = 10) or β2-AR agonist (n = 10) treated SVF cells. mRNA expression was measured by qPCR and normalized to levels of Tbp using the 2-ΔΔCt method.
Figure 1(D, E) Change in pO2 of osteoclasts in the mice upon exposure to various concentration of oxygen from 21% to 14% pO2. Magnified PLIM images of osteoclasts under different peripheral oxygen saturation (SpO2, D). The pO2 of each osteoclast in these mice was plotted (E, n = 47 from three mice for each SpO2). Scale bar, 20 μm.(F) Effect of physioxia (5% pO2) or physiological hypoxia (2% pO2) on osteoclastogenesis. TRAP-stained cells (left panel) and the number of TRAP-positive cells with more than three nuclei (right). Scale bar, 100 μm.
Figure 3(A) Protein expression of HIF-1α, HIF-2α, Blimp1, NFATc1, Ctsk and TRAP in control and Hif1aRank-/-; Hif2aRank-/- BMMs stimulated with RANKL and cultured under different conditions of oxygen concentration for 2 days.(B) Effect of physioxia (5% pO2) or physiological hypoxia (2% pO2) on the formation of osteoclast from control and Hif1aRank-/-; Hif2aRank-/- BMMs. TRAP-stained cells (left panel) and the number of TRAP-positive cells with more than three nuclei (right). Scale bar, 100 μm.(C) Expression of osteoclastogenic and canonical HIF-target genes in wild-type control and Hif1aRank-/-; Hif2aRank-/- BMMs under conditions of 5% or 2% oxygen.
Figure 4(A) Representative intravital image of calvarial bone marrow of Rosa26GO-ATeam/+; Tg(Acp5-tdTomato) male mice showing osteoclasts (left, tdTomato fluorescence) and FLIM image for ATP changes (middle and right, fluorescence lifetime of EGFP). The FRET efficiencies of each osteoclast were plotted from the mice upon exposure to low oxygen atmosphere (14% pO2) or ambient air (right, n = 11 from three mice for each SpO2).(B) Representative intravital image of calvarial bone marrow of Tg(Acp5-tdTomato) male mice showing osteoclasts (left, tdTomato fluorescence) and NAD(P)H autofluorescence lifetime images (middle and right). Average of autofluorescence lifetime of each osteoclast was plotted from the mice upon exposure to low oxygen concentration (14% pO2) or ambient air (right, n = 64 from three mice for each SpO2).
Figure 5(B) μCT analysis of the femurs of 10-week-old control (n = 6), Tet2Rank-/- (n = 5), Tet3Rank-/- (n = 5), Tet2Rank-/-; Tet3aRank+/- (n = 6), Tet2Rank+/-; Tet3aRank-/- (n = 6) and Tet2Rank-/-; Tet3aRank-/- (n = 4) male mice (axial view of the metaphyseal region). (C) Histological analysis of the proximal tibias of 10-week-old control, Tet2Rank-/-, Tet3Rank-/-, Tet2Rank-/-; Tet3aRank+/-, Tet2Rank+/-; Tet3aRank-/- and Tet2Rank-/-; Tet3aRank-/- male mice (TRAP staining [red, osteoclasts]).(E) Effect of Tet2 and Tet3 double deficiency on osteoclastogenesis. TRAP-stained cells (left panel) and the number of TRAP-positive cells with more than three nuclei (right). (n = 6 (control), n = 10 (Tet2Rank-/-; Tet3aRank+/-), n = 3 (Tet2Rank+/-; Tet3aRank-/-) and n = 4 (Tet2Rank-/-; Tet3aRank-/-) biological replicates
Figure 6(B) MeDIP-qPCR analysis to validate regions that are hypermethylated in Tet2Rank-/-; Tet3aRank+/- BMMs stimulated with RANKL for 2 days. (C) Gene expression of TET target candidates in BMMs stimulated with RANKL for 2 days.(E) Bisulfate sequencing analysis of selected region of the second intron of the Prdm1 gene in control and Tet2Rank-/-; Tet3aRank+/- BMMs stimulated with RANKL for 2 days. (F) Effect of retroviral NFATc1 expression on osteoclastogenesis of control and Tet2Rank-/-; Tet3aRank+/- BMMs stimulated with RANKL for 3 days. TRAP-stained cells (left panel) and the number of TRAP-positive cells with more than three nuclei (right). (G) Bisulfate sequencing analysis of the selected region of the second intron of the Prdm1 gene in BMMs stimulated with RANKL and culture under 5% and 2% oxygen for 3 days. (H) Effect of retroviral NFATc1 expression on osteoclastogenesis of BMMs stimulated with RANKL and culture under 5% and 2% oxygen for 5 days. Control and Tet2Rank-/-; Tet3aRank+/- BMMs stimulated with RANKL for 3 days. TRAP-stained cells (left panel) and the number of TRAP-positive cells with more than three nuclei (right).
Figure 1(A) Representative micrographs of human skin sections stained with hematoxylin-eosin (H&E) (left) and anti-IL-38 antibody (right) from normal patients (n = 11) and tumors of cSCC patients (n = 13). Scale bars represent 100 μm. The graph shows the quantification of mean IL-38 expression per high-powered field in tissues. (B) Relative expression of IL-38 in human normal tissues (n = 9) and cSCC (n = 18) were analyzed using Geo Datasets (GSE98767). Error bars represent the mean ± SD. All data are biological replicates. *p < 0.05; **p < 0.01; ***p < 0.001; p values were calculated using Student's t test.(C and D) The dorsal hair of normal C57/BL6 mice were shaved and treated with DMBA/TPA twice a week for 32 weeks to induce skin tumors. (C) Representative micrographs of mouse normal skin (n = 6) and tumor (n = 6) sections stained with anti-IL-38 antibody. The graph shows the quantification of mean IL-38 expression per high-powered field in tissues. Scale bars represent 100 μm. (D) Relative expression levels of Il-38 in normal skin (n = 5) and tumors (n = 5) of mice were quantified using qPCR. Error bars represent the mean ± SD. All data are biological replicates. *p < 0.05; **p < 0.01; ***p < 0.001; p values were calculated using Student's t test.(F) Representative western blot bands indicating IL-38 in mouse normal skin (n = 3) and DMBA/TPA-induced tumors (n = 3). The graph shows the quantification of mean IL-38 expression in tissues. Error bars represent the mean ± SD. All data are biological replicates. *p < 0.05; **p < 0.01; ***p < 0.001; p values were calculated using Student's t test.
Figure 2(B) Representative photographs of Il-38f/f (n = 12) and K14Cre/+-Il-38f/f mice (n = 8) treated with DMBA/TPA for 32 weeks. White triangles indicate the tumors on the back of mice. (C Average tumor number (C) per mouse from Il-38f/f (n = 12) and K14Cre/+-Il-38f/f mice (n = 8) treated with DMBA/TPA.. Error bars represent the mean ± SD (C) All data are biological replicates. *p < 0.05; **p < 0.01; ***p < 0.001; p values were calculated using Student's t test (C
Figure 3(A) Representative immunohistochemical staining micrographs of γH2AX in the skin of Il-38f/f (n = 5) and K14Cre/+-Il-38f/f (n = 5) mice after treated with DMBA for 24h. Red triangles indicate the γH2AX+ positive cells. Scale bars represent 100 μm. The graph shows the number of γH2AX+ cells per high-powered field. Data information: Error bars represent the mean ± SD. All data are biological replicates. *p < 0.05; **p < 0.01; ***p < 0.001; p values were calculated using Student's t test.
Figure 4(A The dorsal hair of normal C57/BL6 mice were shaved and treated with DMBA/TPA twice a week for 3 weeks to induce the skin inflammation. (A) Representative micrograph sections stained with hematoxylin-eosin (H&E) from the skin of Il-38f/f (n = 5) and K14Cre/+-Il-38f/f mice (n = 5) Scale bars represent 100 μm. The graph shows average epidermal thickness.B) The dorsal hair of normal C57/BL6 mice were shaved and treated with DMBA/TPA twice a week for 3 weeks to induce the skin inflammation. (B) Representative micrograph sections stained with anti-Ki67 antibody from the skin of Il-38f/f (n = 6) and K14Cre/+-Il-38f/f mice (n = 6). Scale bars represent 100 μm. The graph shows average numbers of Ki67+ cells per high-powered field.(G and H) Representative images of the scratch assay (left) and wound closure rate (right) of A431 cells (n = 5) after overexpression (G) or knockdown (H) of IL-38. Error bars represent the mean ± SD. All data are biological replicates. *p < 0.05; **p < 0.01; ***p < 0.001; p values were calculated using Student's t test. NC, Negative control; LV, Lentivirus; Oe, Overexpression.(I and J) Representative western blot bands indicating cyclin E and cyclin A in A431 cells after IL-38 overexpression (I) or knockdown (J). NC, Negative control; LV, Lentivirus; Oe, Overexpression.
Figure 5(A and B) Pull-down assay of IL-38 (1-152 aa) (A) or IL-38 (20-152 aa) (B) with IL-1Rrp2-Fc, IL-1RAPL1-Fc, IL1RAcp-Fc, and IgG-Fc fusion proteins.(C) Cell extracts prepared from 293T cells transfected with a mock mammalian expression vector (left) or an expression vector encoding IL-1Rrp2 (right) were probed using anti-phospho-JNK, anti-JNK, or anti-β-actin antibodies after stimulation with IL-38 (200 ng/ml) or IL-36β (200 ng/ml) at different times.(D) Cell extracts prepared from 293T cells transfected with an expression vector encoding IL-1Rrp2 were probed using anti-phospho-JNK, anti-JNK, or anti-β-actin antibodies after stimulation with IL-38 at different concentrations.(F) Cell extracts prepared from 293T cells transfected with HA-tagged full-length or deletion mutants of IL-1Rrp2, were probed using anti-HA or anti-β-actin antibodies. Oe, overexpression.(G) Cell extracts prepared from 293T cells transfected with full-length or deletion mutants of IL-1Rrp2 were probed using anti-phospho-JNK, anti-JNK, or anti-β-actin antibodies after stimulation with IL-38 (200 ng/ml) at different times.
Figure 6Representative images of the scratch assay (left) and wound closure rate (right) of A431 cells (n = 5) treated with recombinant IL-38 (200 ng/mL) (F) after IL-1Rrp2 interference. Error bars represent the mean ± SD. All data are biological replicates. ns, not significant; *p < 0.05; **p < 0.01; ***p < 0.001; p values were calculated using one-way ANOVA , F
Figure 7Representative images of the scratch assay (left) and wound closure rate (right) of A431 cells (n = 5) treated with recombinant IL-38 (200 ng/mL) (F) after JNK interference. Error bars represent the mean ± SD. All data are biological replicates. ns, not significant; *p < 0.05; **p < 0.01; ***p < 0.001; p values were calculated using one-way ANOVA , F
Figure 1B-J: Representative immunofluorescences of the cell types composing the WT and Mecp2 null cultures differentiated from NPCs. Antibodies against Tuj1, Gfap and Olig2 were used to recognize neurons, astrocytes and oligodendrocytes. In D, G and J the percentage of cells positive (mean ± SEM) for each marker was counted over the total of DAPI positive cells (100%). No difference between genotypes was highlighted (Two-way ANOVA); the variation through time resulted significant for the levels of Tuj1 and Gfap (Two-way ANOVA: F(1,16)=9.542, p-value<0.05 and F(1,10)=68.95, p-value<0.0001 respectively). Sample size: n ≥3 wells obtained from two independent preparations; for each well 10 random fields were acquired. Scale bars: 30 µm.P: Scatter plots describing the transcriptional levels of selected differentially expressed genes in WT and Mecp2 null cultures differentiated from NPCs and analysed at DIV3 and DIV14. For each gene Two-way ANOVA and Šidák multiple comparison test were used to assess difference between genotypes at the two selected time points (*p<0.05, **p<0.01, ***p<0.001, ****p<0.0001). Values are represented as mean ± SEM. Sample size: ≥5 samples obtained from two independent preparations.
Figure 2H-K: Raster plots (H and I) and their quantitation under basal conditions and upon 100µM 4-AP exposure. The magnitude of the response after stimulation is expressed either as fold change (J) or as the averaged maximal values reached after 4-AP exposure (K). Dotted line in J represents untreated controls (set to 1). Values are represented as mean ± SEM. Student's t-test, *: p-value<0.05. Sample size n=8 wells deriving from three independent preparations.L: Wt and null neurons counterstained with an antibody against Tuj1 and DAPI at different time points. The binary mask is representative of a neuron used to study morphology. Scale bars: 30 µm. M-Q: Each graph represents a different morphological parameter analysed at selected time point. Two-way ANOVA indicated both a significant time effect ((F 4,20)=282,5 and p<0,0001 for the number of intersections; (F 4,26)=104,5 and p<0,0001 for the total dendritic length; (F 4,20)=58,51 and p<0,0001 for the maximal dendritic length; (F 3,22)=38,32 and p<0,0001 for polarization) and genotype effect ((F 1,20)=25,1 and p<0,0001 for the number of intersections; (F 4,26)=16,0 and p=0.005 for the total dendritic length; (F 1,20)=17,24 and p=0,005 for the maximal dendritic length; (F 1,22)=18,76 and p<0.003 for polarization). Bonferroni multiple comparison test was used to assess difference between wt and null neurons at each analysed time point. The dotted line in panel P represents the cut-off above which a culture is defined polarized (Horton et al, 2006). Values are represented as mean ± SEM; *: p-value<0.05; **: p-value<0.01; ****: p-value<0.0001. Sample size: n≥3 wells deriving from three independent preparations; for each well we measured at least 15 cells.
Figure 3B,C: Five morphological parameters were measured in untreated and treated null neurons at DIV14. One-way ANOVA indicated a significant treatment effect for the maximal dendritic length (F=6,306;p=0,0039), total dendritic length (F=4,880;p=0,0126), number of intersections (F=10,70; p=0,0003) and soma area (F=7,721;p=0,0015). Tukey's multiple comparison test was used to assess differences between null neurons and early and late treated neurons. *: p-value<0.05; **: p-value<0.01; ***: p-value<0.001. The variation of each of the selected parameters is summarized in the radar plot (C). Sample size (panels B,C): n≥18 wells for ctrl group and n≥10 wells for the treatment groups deriving from three independent preparations; for each well we measured at least 15 cells. Each point is representative of a single well. Values are represented as mean ± SEM.Bar graphs represent the expression values (mean ± SEM) of 27 genes, selected for their downregulation in null samples at DIV 14 (p-value <0,07; see Appendix Figure S2), after CX546 administration in the two different time windows (early in G and late in H). One-way ANOVA followed by Dunnett's multiple comparison test was used to compare the expression of each gene between Mecp2 null early and late treated samples and their corresponding untreated controls (set to 1, red dotted line). *: p-value<0.05; **: p-value<0.01, ***: p-value<0.001, ****: p-value<0.0001. Sample size: n≥8 wells deriving from two independent preparations. Each point is representative of a single well.
Figure 4F,G: Violin plots represent the average values of MQAE intensity for early (F) or late (G) treated null neurons and their relative controls. One-way ANOVA followed by Tukey's multiple comparison test was used to compare null control neurons and null treated neurons to wt neurons. ***: p<0.001; ****: p <0.0001. The central line of the violin plot is the median while the two dotted lines represent the upper and lower quartiles. Sample size: n≥300 cells from five different embryos per genotype.I,J: In I One-way ANOVA was used to compare the expression of 9 neuronal genes between Mecp2 null primary neurons (set to 100), null neurons treated with CX546 from DIV1 to DIV4 and null neurons treated with CX546 and Nifedipine from DIV1 to DIV4. * refers to differences between Mecp2 null untreated neurons and Mecp2 null neurons treated with CX546 (*: p-value<0.05; **: p-value<0.01; ***: p-value<0.001); # refers to differences between Mecp2 null neurons treated with CX546 and null neurons treated with both CX546 and Nifedipine (#: p-value<0.05; ##: p-value<0.01). Panel J shows the ratio between the expression level of Kcc2 and Nkcc1 (expressed as 2-∆ct). Box plot shows the median (central band), the lower and upper quartiles (boxes) and the max and min values (whiskers) from at least 3 wells obtained from four different embryos. One-way ANOVA was used to compare the effects of the different treatments on null neurons compared to the untreated ones. **: p-value<0.01. Sample size: n≥3 wells from four different embryos.
Figure 5B: Kaplan Mayer test shows an improved lifespan of Mecp2 null CX546 treated animals compared to Mecp2 null control animals. Sample size: wt=11, ko=16, ko treated with CX546=11. Gehan-Breslow-Wilcoxon test was used to compare the two groups. **: p-value<0.01.F,G: Line graph (F) shows mice motor learning assessed on the accelerating rotarod during three consecutive trials. Two-way ANOVA indicated a significant effect of time (F(2,21)=5,490 and p=0,0121) and genotype (F(2,33)=16,33 and p<0.0001). Bonferroni multiple comparison test highlighted a significant increase in the latency to fall between trial 1 and trial 3 only for null mice treated with CX546. *: p-value<0.05; **: p-value<0.01. The scatter plot (G) shows latency to fall (in seconds) on the accelerating rotarod in the last trial. One-way ANOVA was used to compare ko mice and ko treated mice to the wt group. The Tukey's multiple comparison test highlighted a significant reduction in the latency to fall between wt and ko but not between wt and ko treated with Ampakine; **: p-value<0.01. Values are represented as average ± SEM. Sample size: n=6 wt treated with vehicle and n=14 ko (6 treated with vehicle and 8 treated with CX546). Each dot represents a single animal.
Figure 1A, B After grown in nutrient rich medium to log phase, wild-type (WT) cells were treated with rapamycin (10 μM) or subject to nitrogen starvation (SD-N) for 3 h and 16 h and degradation of autophagic marker GFP-Atg8 was detected. The cycloheximide (CHX, 100 μg/mL,) or thiolutin (10 μg/mL) was simultaneously used to block protein synthesis or gene transcription.Yeast cells were treated with thiolutin (10 μg/mL) together with rapamycin or nitrogen starvation in different order for 3 h, 6h and 16 h and degradation of autophagic marker GFP-Atg8 was detected.Yeast cells were treated with thiolutin (10 μg/mL) together with rapamycin or nitrogen starvation in different order for 3 h, 6h and 16 h and degradation of autophagic marker GFP-Atg8 was detected.
Figure 2B N-terminally GFP-tagged 50Q was checked for its autophagic degradation in indicated yeast cells by GFP processing assays after 1, 4 and 16 h starvation. Yeast cells with ATG1 deletion were used as positive controls.H Vacuole localization and degradation of endocytosis substrate GFP-Sna3 in WT, atg1∆ and rpb9∆ cells. Scale bars: 5 μm.I Carboxypeptidases Y (Cpy1), a vacuolar-resident hydrolases, was analyzed for its transporting to vacuoles by the secretory pathway in WT, atg1∆ and rpb9∆ cells.
Figure 3E-I Overexpression of ATG1 could partially restore autophagy in rpb9∆ cells. ATG1, ATG9, ATG13, ATG17 and ATG5 were overexpressed in rpb9∆ yeast cells, GFP-50Q was checked for its autophagic degradation by GFP processing assays after 1, 4 and 16 h starvation.
Figure 4B Indicated Rpb9 truncates and mutants were expressed in rpb9∆ cells and autophagic degradation of GFP-50Q was checked by GFP-processing assays.
Figure 5E Purified GST-Gcn4 and His-Rpb9 proteins from E. coli cells were mixed and GST pulldown assays were performed.F-G Neither overexpression of Gcn4 in rpb9∆ yeast cells nor overexpression of Rpb9 in gcn4∆ yeast cells can restore autophagy. Gcn4 or Rpb9 were overexpressed in rpb9∆ or gcn4∆ yeast cells respectively and autophagic degradation of GFP-50Q was detected.
Figure 6C Rpb9 orthologs from complex eukaryotic species could restore autophagy in rpb9∆ yeast cells. Indicated Rpb9 orthologs were expressed in rpb9∆ yeast cells and autophagic degradation of GFP-50Q was detected.D N-terminal Zinc finger domain and linker region of Rpb9 orthologs from different species could restore autophagy defects in rpb9∆ yeast cells. Indicated truncates of Rpb9 orthologs were expressed in rpb9∆ yeast cells and autophagic degradation of GFP-50Q was detected.
Figure 1A. Glioma tumour micro arrays (grade II-IV gliomas) were stained to visualise MDGI (red). Samples from the epileptic brain served as a negative control. Scale bar 100 µm.B. Overall survival of grade II and III glioma patients (n = 76) was significantly better when none/low MDGI (blue line) was detected compared to patients with moderate/high MDGI (red line) expression (P = 0.007). The cumulative survival rates were estimated by using the Kaplan-Meier method.C. Analysis of the association of MDGI mRNA expression with glioma patient survival using the GlioVis data portal. In the TCGA GBMLGG dataset (n = 667), patients with low MDGI expression (green line; n = 333, events = 101, median = 67,5) show significantly better survival than patients with high MDGI (red line; n = 334, events = 138, median = 41.5) expression (P = 2e-04). HR = 0.62 (0.48 - 0.8). The cumulative survival rates were estimated by using the Kaplan-Meier method.D. In glioblastoma samples, highest MDGI expression was observed in the mesenchymal subtype (M) compared to the classical (Cl) or pro-neural (PN) ones. However, it did not reach the statistical significance. GlioVis data portal, TCGA GBM dataset, n = 156. Pairwise t-test with corrections for multiple testing, p-values with Bonferroni correction.E. MDGI expression was high in the leading edge of the tumour (LE) and in infiltrating tumour cells (IT) in the IVY_Gap dataset (n = 122) where the gene expression profile in different anatomical structures of glioblastomas was analysed. LE, leading edge; IT, infiltrating tumour cells; CT, cellular tumour (cells within the tumour mass); PC, pseudopalisading cells; MP, microvascular proliferation. Numbers in the graph depict the P values: Pairwise t-test with corrections for multiple testing, p-values with Bonferroni correction.F. Western blot analysis shows MDGI expression in human glioma cells including patient-derived spheroids (S24, ZH161, ZH305, BT3, BT11, BT12, BT13), patient-derived adherent cells (BT5 and BT5R), and long-term cell lines (U87MG, LN229, LN308). Numbers above the lanes show the relative expression of MDGI compared to the levels of β-tubulin that served as loading control in each cell line. Representative Western blot image of 3 separate experiments is shown.G. High MDGI and HIF-1α expression in the patient-derived glioblastoma spheroids decreased significantly when cells were cultured in medium containing 10 % of serum (FBS) for seven days. Numbers show the relative expression of MDGI and HIF-1α compared to the levels of β-tubulin. Expression in the serum-free medium was set as 1. Representative Western blot image of 2 separate experiments is shown.H. MDGI expression in adherent glioma cell lines and in glioma cell spheroids after 24h culture under hypoxia (1 % O2) or normoxia (21 % O2). Numbers show the relative MDGI expression compared to the levels of β-tubulin. Expression under normoxia was set as 1. Representative Western blot image of 3 separate experiments is shown.