BPG is committed to discovery and dissemination of knowledge
Cited by in F6Publishing
For: Frades I, Foguet C, Cascante M, Araúzo-Bravo MJ. Genome Scale Modeling to Study the Metabolic Competition between Cells in the Tumor Microenvironment. Cancers (Basel) 2021;13:4609. [PMID: 34572839 DOI: 10.3390/cancers13184609] [Cited by in Crossref: 5] [Cited by in F6Publishing: 6] [Article Influence: 2.5] [Reference Citation Analysis]
Number Citing Articles
1 Huang YC, Hou MF, Tsai YM, Pan YC, Tsai PH, Lin YS, Chang CY, Tsai EM, Hsu YL. Involvement of ACACA (acetyl-CoA carboxylase α) in the lung pre-metastatic niche formation in breast cancer by senescence phenotypic conversion in fibroblasts. Cell Oncol (Dordr) 2023. [PMID: 36607556 DOI: 10.1007/s13402-022-00767-5] [Reference Citation Analysis]
2 Li Z, Gao C, Ye C, Guo L, Liu J, Chen X, Song W, Wu J, Liu L. Systems engineering of Escherichia coli for high-level shikimate production. Metab Eng 2023;75:1-11. [PMID: 36328295 DOI: 10.1016/j.ymben.2022.10.010] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
3 Chen YJ, Guo X, Liu ML, Yu YY, Cui YH, Shen XZ, Liu TS, Liang L. Interaction between glycolysis‒cholesterol synthesis axis and tumor microenvironment reveal that gamma-glutamyl hydrolase suppresses glycolysis in colon cancer. Front Immunol 2022;13:979521. [PMID: 36569910 DOI: 10.3389/fimmu.2022.979521] [Reference Citation Analysis]
4 Huang Y, Hou M, Tsai Y, Pan Y, Tsai P, Lin Y, Chang C, Tsai E, Hsu Y. Involvement of ACACA (acetyl-CoA carboxylase α) in the lung pre-metastatic niche formation in breast cancer by senescence phenotypic conversion in fibroblasts.. [DOI: 10.21203/rs.3.rs-1930167/v2] [Reference Citation Analysis]
5 Huang Y, Hou M, Tsai Y, Pan Y, Tsai P, Lin Y, Chang C, Tsai E, Hsu Y. Involvement of ACACA (acetyl-CoA carboxylase α) in the lung pre-metastatic niche formation in breast cancer by senescence phenotypic conversion in fibroblasts.. [DOI: 10.21203/rs.3.rs-1930167/v1] [Reference Citation Analysis]
6 Ng RH, Lee JW, Baloni P, Diener C, Heath JR, Su Y. Constraint-Based Reconstruction and Analyses of Metabolic Models: Open-Source Python Tools and Applications to Cancer. Front Oncol 2022;12:914594. [DOI: 10.3389/fonc.2022.914594] [Reference Citation Analysis]
7 Nam S, Lee Y. Genome-Scale Metabolic Model Analysis of Metabolic Differences between Lauren Diffuse and Intestinal Subtypes in Gastric Cancer. Cancers (Basel) 2022;14:2340. [PMID: 35565469 DOI: 10.3390/cancers14092340] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
8 Sung JY, Cheong JH. New Immunometabolic Strategy Based on Cell Type-Specific Metabolic Reprogramming in the Tumor Immune Microenvironment. Cells 2022;11:768. [PMID: 35269390 DOI: 10.3390/cells11050768] [Cited by in Crossref: 7] [Cited by in F6Publishing: 7] [Article Influence: 7.0] [Reference Citation Analysis]