The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
doi: 10.4121/18092750

Chunxiao Wu; Qiquan Yu; Weizhen Shou; Kun Zhang; Yang Li et. al. (2022): Identification of molecular mechanism of the anti-lung cancer effect of Jin Ning Fang using network pharmacology and its experimental verification. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/18092750.v1

Dataset

• Pharmacology and Pharmaceutical Sciences

compounds, functional enrichment analysis, Jin Ning Fang decoction, lung cancer, network pharmacology, PPI network

CC0

RefWorks, BibTeX, Reference Manager, Endnote, DataCite, NLM, DC, CFF

by Chunxiao Wu, Qiquan Yu, Weizhen Shou, Kun Zhang, Yang Li, Wentao Guo, Qi Bao

A549 cells were treated with JNF for 48 h. CCK-8 assay showed that cell viability in JNF was significantly lower than in the control group (100.00 ± 1.47 vs. 82.59 ± 2.81, P < 0.01), suggesting that JNF observably inhibited the proliferation of lung cancer cells. Meanwhile, JNF increased the apoptosis rate in A549 cells compared to that in the control group (0.74 ± 0.03 vs. 2.20 ± 0.14, P < 0.01), indicating that JNF treatment may induce apoptosis in lung cancer cells. Next, the expression level of hub genes identified from pharmacological network was detedcted by qPCR analysis. Result showed that JNF could significantly decrease the expression level of FDPS, PIM1, VCAM1, SLC29A1, NQO1, and ESR1 (all P < 0.05), while JNF markedly increased the mRNA levels of AR and ANPEP (all P < 0.05).

• 2022-01-11 first online, published, posted

4TU.ResearchData

xlsx

Department of Thoracic Surgery, Longhua Hospital Affiliated to Shanghai TCM University