Project description:In order to explore the mechanism of HJ-23, we used RNA-seq technology to extract and analyze the total RNA of cells treated with DMSO and HJ-23, and analyzed the RNA data.
Project description:In order to explore the mechanism of HJ-4, we used RNA-seq technology to extract and analyze the total RNA of cells treated with DMSO and HJ-4, and analyzed the RNA data.
Project description:Colorectal cancer (CRC) is one of the most prevalent and lethal malignancies worldwide. The epithelial-mesenchymal transition (EMT) plays a critical role in tumor invasion and metastasis. Piperine, a natural alkaloid, has demonstrated antitumor activity; however, its low bioavailability limits clinical application. HJJ_3_5, a novel piperine derivative synthesized and validated by our research group, exhibits potent antitumor effects against colorectal cancer cells. In addition to its strong cytotoxicity, HJJ_3_5 disrupts key metastatic processes, including DNA replication, cell migration, invasion, and adhesion, showcasing its multifaceted mechanism of action. In vivo, HJJ_3_5 shows significant efficacy in the CAM model, effectively inhibiting tumor growth and angiogenesis, underscoring its potential as a powerful anti-cancer agent. At the molecular level, comprehensive transcriptomic analysis reveals that HJJ_3_5 significantly downregulates the EMT pathway. Notably, machine learning algorithms identify six core EMT-related genes (COL12A1, PJA2, VCAN, MEF2C, DPYD, and DDR2) as pivotal drivers of cancer progression, with their expression strongly associated with poor clinical outcomes. Single-cell RNA sequencing further reveals that these genes are predominantly expressed in fibroblasts and myofibroblasts, key players in the EMT process and metastasis. These findings position HJJ_3_5 as a promising therapeutic candidate, offering a targeted and potent approach to halting the relentless progression of colorectal cancer.
Project description:For the understanding intrinsic cancer cell signatures and the surrounding microenviroment, we provide single-cell 3' RNA sequencing dataon 63,689 cells from 23 CRC patients with 23 primary colorectal cancer and 10 matched normal mucosa samples. Analysis of primary colorectal cancer and normal mucosa samples depicts a comprehensive cellular landscape of colorectal cancer and potential cellular interaction, which would be a valuable resource for the development of therapeutic strategies.