Supplementary Materials for "APLP2 as a Molecular Link Between Immune Regulation and Bone Metabolism in Hepatocellular Carcinoma Evidence from scRNA-Seq and Functional Validation"
Description
Fig. S1: Presents the metrics used for quality control in single-cell datasets. Fig. S2: The assessment of transcriptional regulatory networks using SCENIC highlighted ten key transcription factors associated with hepatocellular carcinoma: JUN, JUND, NFIC, ATF3, FOSB, RUNX3, REL, ETS1, and JUNB . Fig. S3: A positive correlation has been detected between APLP2 and SQSTM1(r = -0.31 ); Fig. S4: An inverse relationship was identified for C1S and RTEL1(r = -0.55); Fig. S5: CAT revealed a negative relationship with COL1A1(r = -0.44); Fig. S6: CFB showed a negative association with RTEL1(r = -0.54); Fig. S7: PDIA6 was noted to have a negative relationship with RTEL1(r = -0.32); Fig. S8: SERPINC1 exhibited a negative correlation with RTEL1(r = -0.45); Fig. S9: SLC2A2 demonstrated the strongest negative correlation with RTEL1(r = -0.58). Fig. S10: Observations indicated that the genes SERPINC1, PDIA6, SLC2A2, CFB, CAT, APLP2, and C1S exhibited enhanced activity in multiple pathways related to immune metabolism, encompassing coagulation, peroxisomal metabolism, adipogenesis, bile acid metabolism, oxidative phosphorylation, and the metabolism of xenobiotics. Supplement: The primer sequences utilized in the experiments.