Guangdong Key Laboratory of Fermentation and Enzyme Engineering, School of Biology and Biological Engineering, South China University of Technology, Guangzhou, 510006, China.
School of Mathematics, South China University of Technology, Guangzhou, 510641, China.
J Transl Med. 2023 Jan 25;21(1):45. doi: 10.1186/s12967-023-03890-5.
Deterioration of normal intestinal epithelial cells is crucial for colorectal tumorigenesis. However, the process of epithelial cell deterioration and molecular networks that contribute to this process remain unclear.
Single-cell data and clinical information were downloaded from the Gene Expression Omnibus (GEO) database. We used the recently proposed dynamic network biomarker (DNB) method to identify the critical stage of epithelial cell deterioration. Data analysis and visualization were performed using R and Cytoscape software. In addition, Single-Cell rEgulatory Network Inference and Clustering (SCENIC) analysis was used to identify potential transcription factors, and CellChat analysis was conducted to evaluate possible interactions among cell populations. Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG), and gene set variation analysis (GSVA) analyses were also performed.
The trajectory of epithelial cell deterioration in adenoma to carcinoma progression was delineated, and the subpopulation of pre-deteriorated epithelial cells during colorectal cancer (CRC) initialization was identified at the single-cell level. Additionally, FOS/JUN were identified as biomarkers for pre-deteriorated epithelial cell subpopulations in CRC. Notably, FOS/JUN triggered low expression of P53-regulated downstream pro-apoptotic genes and high expression of anti-apoptotic genes through suppression of P53 expression, which in turn inhibited P53-induced apoptosis. Furthermore, malignant epithelial cells contributed to the progression of pre-deteriorated epithelial cells through the GDF signaling pathway.
We demonstrated the trajectory of epithelial cell deterioration and used DNB to characterize pre-deteriorated epithelial cells at the single-cell level. The expression of DNB-neighboring genes and cellular communication were triggered by DNB genes, which may be involved in epithelial cell deterioration. The DNB genes FOS/JUN provide new insights into early intervention in CRC.
正常肠上皮细胞的恶化对于结直肠肿瘤发生至关重要。然而,上皮细胞恶化的过程和导致这一过程的分子网络仍不清楚。
从基因表达综合(GEO)数据库下载单细胞数据和临床信息。我们使用最近提出的动态网络生物标志物(DNB)方法来鉴定上皮细胞恶化的关键阶段。使用 R 和 Cytoscape 软件进行数据分析和可视化。此外,还使用单细胞调节网络推断和聚类(SCENIC)分析来鉴定潜在的转录因子,并用 CellChat 分析评估细胞群体之间的可能相互作用。还进行了基因本体论(GO)、京都基因与基因组百科全书(KEGG)和基因集变异分析(GSVA)分析。
描绘了腺瘤到癌进展过程中上皮细胞恶化的轨迹,并在单细胞水平鉴定了结直肠癌(CRC)起始时预先恶化的上皮细胞亚群。此外,鉴定出 FOS/JUN 是 CRC 中预先恶化的上皮细胞亚群的生物标志物。值得注意的是,FOS/JUN 通过抑制 P53 表达,触发 P53 调节的下游促凋亡基因的低表达和抗凋亡基因的高表达,从而抑制 P53 诱导的细胞凋亡。此外,恶性上皮细胞通过 GDF 信号通路促进预先恶化的上皮细胞的进展。
我们展示了上皮细胞恶化的轨迹,并使用 DNB 在单细胞水平上描绘了预先恶化的上皮细胞。DNB 邻近基因的表达和细胞间通讯是由 DNB 基因触发的,这可能与上皮细胞恶化有关。DNB 基因 FOS/JUN 为早期干预 CRC 提供了新的见解。