850
Views
2
CrossRef citations to date
0
Altmetric
Cancer Biology

Transcriptome analysis of FuZheng XiaoJi prescription inhibiting the proliferation of colorectal cancer

, , , , , , & show all
Pages 719-729 | Received 20 Apr 2021, Accepted 16 Jun 2021, Published online: 17 Aug 2021

Figures & data

Figure 1. Proliferation of FZXJP-treated HT-29 cells and SW620 cells using the CCK-8 assay. HT29 cells and SW620 cells were treated with 0.5, 1, 2, 4, 8, and 16 mg mL−1 FZXJP; FZXJP, FuZheng XiaoJi Decoction; **P < 0.01, compared with 0 mg mL−1.

Figure 1. Proliferation of FZXJP-treated HT-29 cells and SW620 cells using the CCK-8 assay. HT29 cells and SW620 cells were treated with 0.5, 1, 2, 4, 8, and 16 mg mL−1 FZXJP; FZXJP, FuZheng XiaoJi Decoction; **P < 0.01, compared with 0 mg mL−1.

Figure 2. Results of differential expression analysis. (A) the heatmap of DEGs; horizontal axis represents six samples, vertical axis represents genes; (B) the volcano plot of DEG.

Figure 2. Results of differential expression analysis. (A) the heatmap of DEGs; horizontal axis represents six samples, vertical axis represents genes; (B) the volcano plot of DEG.

Figure 3. Results of functional enrichment analysis. (A) The top 20 GO function terms for DEGs. BP, biological process; CC, cellular component; MF, molecular function; (B) KEGG pathways for DEGs; M, metabolize; OS, organisms system; EIP, environmental information processing. Vertical axis represents the enriched GO terms and KEGG pathways, respectively; horizontal axis represents the significant value; the smaller PDR represent more significant value of the GO terms and KEGG pathways.

Figure 3. Results of functional enrichment analysis. (A) The top 20 GO function terms for DEGs. BP, biological process; CC, cellular component; MF, molecular function; (B) KEGG pathways for DEGs; M, metabolize; OS, organisms system; EIP, environmental information processing. Vertical axis represents the enriched GO terms and KEGG pathways, respectively; horizontal axis represents the significant value; the smaller PDR represent more significant value of the GO terms and KEGG pathways.

Figure 4. Protein-protein interaction network. Light gray nodes represent up-regulated genes, and dark gray nodes represent down-regulated genes; node size represents the degree of each node.

Figure 4. Protein-protein interaction network. Light gray nodes represent up-regulated genes, and dark gray nodes represent down-regulated genes; node size represents the degree of each node.

Table 1. The 61 genes with degree > 5 in the PPI network.

Figure 5. The regulatory network. (A) The miRNA-gene regulatory network; (B) The transcription factor-gene regulatory network; (C) The miRNA-gene-transcription factor regulatory network. Light grey nodes represent up-regulated genes, and dark grey nodes represent down-regulated genes; rhombus represents transcription factors; hexagon represents miRNAs.

Figure 5. The regulatory network. (A) The miRNA-gene regulatory network; (B) The transcription factor-gene regulatory network; (C) The miRNA-gene-transcription factor regulatory network. Light grey nodes represent up-regulated genes, and dark grey nodes represent down-regulated genes; rhombus represents transcription factors; hexagon represents miRNAs.

Figure 6. The expression of DEGs determined by RT-qPCR. The expression of EGR1, KLHL11, UBA7, IRF1, HERC6, and IFI35 in HT-29 cells (negative control) and FZXJP-treated HT-29 cells (drug treatment). **P < 0.01, compared with negative control.

Figure 6. The expression of DEGs determined by RT-qPCR. The expression of EGR1, KLHL11, UBA7, IRF1, HERC6, and IFI35 in HT-29 cells (negative control) and FZXJP-treated HT-29 cells (drug treatment). **P < 0.01, compared with negative control.
Supplemental material

Supplemental Material

Download Zip (1.2 MB)

Data availability statement

The data that support the findings of this study are available in NCBI BioProject repository [https://www.ncbi.nlm.nih.gov/bioproject/PRJNA746620] with accession number PRJNA746620.