Fig. 1

Pancancer expression pattern and prognostic value of RNF8. A The Pancancer normalized tissue samples were downloaded from UCSC Pan-cancer data hub. The expression of RNF8 in cancers was visualized by R package “ggplot2” and Wilcoxon rank-sum test was performed to compare the mean between cancer tissues and normal tissues. B Kaplan–Meier survival analysis was performed based on cancer types, The R package “survival” and “survminer” were used and the optimal cutoff of RNF8 expression was obtained using function “surv_cutpoint”. The data in each cancer was collected and visualized in scatterplot using Log₁₀(Hazard Ratio) as the x-axis and − Log₁₀(P value) as the y-axis. C Pancancer expression data and survival results were collected and visualized in scatterplot using Log₁₀(P value-survival) as the y-axis and − Log₁₀(P value-expression) as the y-axis. D Heatmap showed the correlation between RNF8 expression and clinical parameters. E Graphical representation of the workflow in identifying RNF8-interacting proteins. The RNF8-interacting proteins complexes were obtained by two different co-IP methods (co-IP using anti-Flag antibody, the elution was then used to perform another round of co-IP using anti-HA antibody; co-IP using anti-RNF8 antibody), SDS-PAGE gel electrophoresis and silver staining were performed to select the specific band. F The specific bands were sent to liquid-mass spectrometry (LC–MS) for analysis. **P < 0.01, ***P < 0.001