LOX-1 triggers myocardial fibrosis, but its roles and mechanisms in alcoholic cardiomyopathy and the involvement of the downstream signaling pathways had not been fully reported. We planned to explore how LOX-1 facilitated myocardial fibrosis in alcoholic cardiomyopathy. The in vitro and in vivo alcoholic cardiomyopathy model was established by alcohol treatment to rats’ cardiac fibroblasts and rats, respectively. Masson staining was conducted to observe the collagen deposition and the IHC assay was executed to evaluate...

Additional file 11: Figure S2. circPVT1 promotes the migration and invasion of NPC in vitroand metastasis of NPCin vivo. A-B. The expression of circPVT1 were measured in CNE2 and 5-8F cells after transfection with the circPVT1 overexpression vector or circPVT1 siRNA. PVT1 expression was not affected in CNE2 and 5-8F cells after overexpresion or knockdown of circPVT. All experiments were repeated at least three times. Data were represented as mean ± SD. ***, p <...

Additional file 11: Figure S2. circPVT1 promotes the migration and invasion of NPC in vitroand metastasis of NPCin vivo. A-B. The expression of circPVT1 were measured in CNE2 and 5-8F cells after transfection with the circPVT1 overexpression vector or circPVT1 siRNA. PVT1 expression was not affected in CNE2 and 5-8F cells after overexpresion or knockdown of circPVT. All experiments were repeated at least three times. Data were represented as mean ± SD. ***, p <...

Additional file 12: Figure S3. circPVT1 promotes the migration and invasion of NPC cells through binding to β-TrCP. A. The secondary ion flow diagram of β-TrCP identified by mass spectrometry according to the peptide sequence (DFITALPAR) of β -TrCP.B. Schematic diagram of binding sites betweent circPVT1 and β-TrCP using the catRAPID website.The 230-280 nt of circPVT1 was predicted to bind to β-TrCP protein with high interaction score.C. The secondary structure of circPVT1 changed when 230-280...

Additional file 13: Figure S4. The WD40 repeat domain of β-TrCP interacts with circPVT1. A. The functional domain of the of β-TrCP proteins are illustrated (top), including the F-box domain and the WD40 domain. The expressing plasmids for full-length β-TrCP or truncated fragments (F-box and WD40) were constructed and confirmed using anti-Flag antibody. B. Wound healing assay showed that overexpression of β-TrCP inhibited NPC cells migration. Data were represented as mean ± SD. ***, p...

Additional file 14: Figure S5. c-Myc is ubiquitinated substrate of β-TrCP. A. The expression of β-TrCP was examined in CNE2 and 5-8F cells after overexpression or knockdown of circPVT1 using western blotting.B. The β-TrCP binding proteins were identified in CNE2 cells by immunoprecipitation followed by LC-MS/MS.C. The interaction of c-Myc and β-TrCP was predicted by Molecular Docking ( http://hdock.phys.hust.edu.cn/ ). The blue part is the WD40 repeat domain of β-TrCP.D. The expression of c-Myc was...

Additional file 1: Fig. S1 Leaf- related QTLs on 32 linkage groups from a genetic linkage map of paternal parent (P1).

Additional file 2: Fig. S2. Concentration-dependent curves of NA modification on OC cells. The α-2,3Sia (MAL II), α-2,6Sia (SNA), and Gal/GalNAc (PNA) epitopes expression on A2780 (a), OVCAR3 (b), and ID8 (c) cells were detected by FCM respectively after α2-3/α2-6NA modification. Plots represent three individual experiments; error bars are standard deviations (SD).

Additional file 5: Fig. S5. Representative picture of HE staining for mouse ID8 OC. The section for tumors of nonvaccinated mice (a) and mice immunized with unmodified whole-cell ID8 vaccine (b), α2-3NA modified DWCTV (c), and α2-6NA modified DWCTV (d). Scale bars: 100 μm.

Additional file 3: Figure S3. ShRNA Panx 1-AAV or Ctrl-AAV-labeled EGFP-positive cells have a sound co-localization with S100 β-labeled Schwann cells. Enlarged images in lower panel are from the inset boxes of upper panel. Upper panel, scale bar = 50 μm. Lower panel, scale bar = 25 μm. n = 3–4 mice/group.

Additional file 5: Figure S5. The effect of Panx 1-siRNA on the expression of Panx 1 in Schwann cells. A, D, and E. mRNA expression of Panx 1, Panx 2, and Panx 3 after treatment with Panx 1 siRNA. B-C. Gel images and quantification of Panx 1 protein levels after treatment with Panx 1 siRNA. F. Panx 1-specific siRNA decreased Panx 1 mRNA expression levels under LPS treatment in Schwann cells. All data are mean...

Additional file 6: Figure S6. CBX and Panx 1-siRNA do not affect TGF-β mRNA expression in LPS-treated Schwann cells. A-B. Pretreatment with CBX (100 mM) for 2 h or Panx 1 siRNA for 36 h, qPCR was used to determine TGF-β mRNA expression levels in LPS-treated Schwann cells. All data are mean ± SEM. n = 4.

Additional file 5: Figure S5. The effect of Panx 1-siRNA on the expression of Panx 1 in Schwann cells. A, D, and E. mRNA expression of Panx 1, Panx 2, and Panx 3 after treatment with Panx 1 siRNA. B-C. Gel images and quantification of Panx 1 protein levels after treatment with Panx 1 siRNA. F. Panx 1-specific siRNA decreased Panx 1 mRNA expression levels under LPS treatment in Schwann cells. All data are mean...

Supplementary Material 3

Additional file 1: Fig. S1. Screening the mitomycin C concentration for OC cell treatment. Representative images under phase contrast microscopy of OC cells treated with 0, 50, and 100 ng ml-1 mitomycin C for 2 h (a) and 3 h (b) and cultured for 24 h. Scale bars represent 100 μm.

Additional file 2: Fig. S2. Concentration-dependent curves of NA modification on OC cells. The α-2,3Sia (MAL II), α-2,6Sia (SNA), and Gal/GalNAc (PNA) epitopes expression on A2780 (a), OVCAR3 (b), and ID8 (c) cells were detected by FCM respectively after α2-3/α2-6NA modification. Plots represent three individual experiments; error bars are standard deviations (SD).

Supplementary Material 3

Additional file 3: Supplementary Fig. 3. The correlation between risk score and immune cell infiltration was analyzed. A Analysis of the correlation among 22 subtyopes of immune cells. B The TIMER data base was used to analyze the risk scores and six types of immune-infiltrating cells.

Additional file 10: Supplementary Figure S10. Spearman correlation coefficient between 22 immune cells was calculated for CESC (A), OV (B), UCEC (C), and UCS D. Red bubbles indicate positive correlations and blue bubbles indicate negative correlations. The numbers in the bubbles represent the correlation coefficients.

Additional file12: Supplementary Figure S12. Spearman correlation between NRGs expression level and IC50 level of drugs. A Bubble chart for CESC. B Bubble chart for OV. C Bubble chart for UCEC. D Bubble chart for UCS. The bubble color indicates the degree of correlation index. The bubble size indicates the P-value. The correlation with P<0.05 & |Cor|>0.3 were retained to produce the figure.

Additional file 3: Figure S1. Time-dependent ROC analysis for 5-year Mortality. A The cut-off value is 1.0 for men; B. The cut-off value is 0.8 for women.

Additional file 2: Fig. S1. JAK1 overexpression suppresses EC cell growth and migration.

Additional file 3: Fig. S2. JAK1 knockdown elevates the expression of HIF downstream genes in SPEC-2 cells.

Additional file 4: Fig. S3. JAK1 overexpression downregulates the expression of HIF downstream genes in Ishikawa cells.

Additional file 3: Figure S1. Time-dependent ROC analysis for 5-year Mortality. A The cut-off value is 1.0 for men; B. The cut-off value is 0.8 for women.