DOI: 10.57760/sciencedb.o00130.03454
title: Based on the transcriptome study and network pharmacology explore the mechanism of action of curcumin intervention leukemia
title: 基于转录组学与网络药理学探讨姜黄素干预白血病的作用机制

description: Objective To explore the mechanism of Curcumin in the intervention of leukemia based on transcriptomics and network pharmacology.Methods (1) Cell proliferation experiment: leukemia MV-4-11 cells were cultured in vitro and divided into DMSO control group (DMSO), 15μM curcumin group (Cur15μM), 20μM curcumin group (Cur20μM). Flow cytometry instrument by CFSE method determination of curcumin on MV-4-11 cell growth 0 h, 24 h, 48 h. (2) Network pharmacology analysis: PubChem database was used to obtain the SMILES number of curcumin, Swiss Target Prediction, SEA, TTD and CTD platforms were used to search the drug targets of curcumin, and Genecards, OMIM, TTD and CTD databases were used to screen the targets related to leukemia. The intersection targets of curcumin-leukemia were further collected. (3) the transcriptome study and analysis of network pharmacology: collect the blank control (NC) group, curcumin (Cur) group of MV - 4-11 cell RNA, makes the transcriptome sequencing, and collect network pharmacology and gene transcription omics differences in common targets. STRING website and Cytoscape software were used to construct the PPI network of intersection targets. David database and wechat were used for enrichment analysis based on GO and KEGG databases, and the core targets and main action pathways of curcumin and anti-leukemia were finally screened out.Results (1) Curcumin significantly inhibited the proliferation of MV-4-11 cells. (2) Network pharmacology analysis identified 1209 drug targets of curcumin and 7702 leukemia-related targets, and 901 targets of curcumin against leukemia after taking the intersection of the two. The top 10 ranked from high to low were AKT1, TP53, TNF, IL6, MYC, IL1B, EGFR, STAT3, ALB and JUN. (3) Transcriptome sequencing showed that 14714 genes were expressed in the curcumin treatment group and 13689 genes were expressed in the NC group. A total of 3064 differentially expressed genes were found, including 2189 up-regulated genes and 875 down-regulated genes. Network pharmacology and transcriptome study intersection targets 182, top ten order from high to low is TNF, IL1B, MYC, propagated, BCL2, EGF, HSP90AA1, ERBB2, CXCL8, HSP90AB1. KEGG enrichment results show that the curcumin anti-leukemia effect targets the main pathways in cancer, PI3K - Akt signaling pathway and MAPK signal pathway.Conclusion The gene expression profile of curcumin on leukemia is obtained in this study, and the molecular mechanism of curcumin inhibiting the proliferation of leukemia cells is elucidated. The main mechanisms are cancer pathway, PI3K-Akt signaling pathway, MAPK signaling pathway, etc., indicating that the inhibition of curcumin on leukemia is multifaceted and multi-level.
description: Objective To explore the mechanism of Curcumin in the intervention of leukemia based on transcriptomics and network pharmacology.Methods (1) Cell proliferation experiment: leukemia MV-4-11 cells were cultured in vitro and divided into DMSO control group (DMSO), 15μM curcumin group (Cur15μM), 20μM curcumin group (Cur20μM). Flow cytometry instrument by CFSE method determination of curcumin on MV-4-11 cell growth 0 h, 24 h, 48 h. (2) Network pharmacology analysis: PubChem database was used to obtain the SMILES number of curcumin, Swiss Target Prediction, SEA, TTD and CTD platforms were used to search the drug targets of curcumin, and Genecards, OMIM, TTD and CTD databases were used to screen the targets related to leukemia. The intersection targets of curcumin-leukemia were further collected. (3) the transcriptome study and analysis of network pharmacology: collect the blank control (NC) group, curcumin (Cur) group of MV - 4-11 cell RNA, makes the transcriptome sequencing, and collect network pharmacology and gene transcription omics differences in common targets. STRING website and Cytoscape software were used to construct the PPI network of intersection targets. David database and wechat were used for enrichment analysis based on GO and KEGG databases, and the core targets and main action pathways of curcumin and anti-leukemia were finally screened out.Results (1) Curcumin significantly inhibited the proliferation of MV-4-11 cells. (2) Network pharmacology analysis identified 1209 drug targets of curcumin and 7702 leukemia-related targets, and 901 targets of curcumin against leukemia after taking the intersection of the two. The top 10 ranked from high to low were AKT1, TP53, TNF, IL6, MYC, IL1B, EGFR, STAT3, ALB and JUN. (3) Transcriptome sequencing showed that 14714 genes were expressed in the curcumin treatment group and 13689 genes were expressed in the NC group. A total of 3064 differentially expressed genes were found, including 2189 up-regulated genes and 875 down-regulated genes. Network pharmacology and transcriptome study intersection targets 182, top ten order from high to low is TNF, IL1B, MYC, propagated, BCL2, EGF, HSP90AA1, ERBB2, CXCL8, HSP90AB1. KEGG enrichment results show that the curcumin anti-leukemia effect targets the main pathways in cancer, PI3K - Akt signaling pathway and MAPK signal pathway.Conclusion The gene expression profile of curcumin on leukemia is obtained in this study, and the molecular mechanism of curcumin inhibiting the proliferation of leukemia cells is elucidated. The main mechanisms are cancer pathway, PI3K-Akt signaling pathway, MAPK signaling pathway, etc., indicating that the inhibition of curcumin on leukemia is multifaceted and multi-level.