Research Paper Volume 15, Issue 11 pp 5007—5031
Machine learning and single cell RNA sequencing analysis identifies regeneration-related hepatocytes and highlights a Birc5-related model for identifying cell proliferative ability
Figure 6. Validation of the regeneration-related signature in external datasets related to PHx. (A) Regeneration-related signature score in the GSE133213 dataset. WT: wild-type mouse. (B) Regeneration-related signature score in the GSE158864 dataset. The data only contained samples at 0-hour and 48-hour after PHx. (C) Regeneration-related signature score in the GSE167034 dataset related to multiple timepoints after PHx surgery. (D) Regeneration-related signature score in the GSE215423 dataset containing samples at 6h, 24h, Day3, Day7 and Day14 after PHx in mice. (E) Regeneration-related signature score in the GSE83598 dataset. Each timepoint after PHx only had one sample. (F) Regeneration-related signature score in the GSE4528 dataset. (G) Expression levels of 17 feature genes in GSE133213 dataset. (H) Expression levels of 17 feature genes in GSE158864 dataset. (I) Expression levels of 17 feature genes in GSE167034 dataset. (J) Expression levels of 17 feature genes in GSE215423 dataset. (K) Expression levels of 17 feature genes in GSE83598 dataset. (L) Expression levels of 17 feature genes in GSE4528 dataset. Undetected genes were not showed. (M) Dot plot revealing the expression levels of 17 genes in DDC model from GSE212692 dataset. LPLC: liver progenitor-like cells; DDC: 3,5-diethoxycarbonyl-1,4-dihydrocollidin.