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For: Li M, Li C, Liu WX, Liu C, Cui J, Li Q, Ni H, Yang Y, Wu C, Chen C, Zhen X, Zeng T, Zhao M, Chen L, Wu J, Zeng R, Chen L. Dysfunction of PLA2G6 and CYP2C44-associated network signals imminent carcinogenesis from chronic inflammation to hepatocellular carcinoma. J Mol Cell Biol 2017;9:489-503. [PMID: 28655161 DOI: 10.1093/jmcb/mjx021] [Cited by in Crossref: 34] [Cited by in F6Publishing: 35] [Article Influence: 11.3] [Reference Citation Analysis]
Number Citing Articles
1 Tang H, Zeng T, Chen L. High-Order Correlation Integration for Single-Cell or Bulk RNA-seq Data Analysis. Front Genet 2019;10:371. [PMID: 31080457 DOI: 10.3389/fgene.2019.00371] [Cited by in Crossref: 6] [Cited by in F6Publishing: 4] [Article Influence: 2.0] [Reference Citation Analysis]
2 Jiang Z, Lu L, Liu Y, Zhang S, Li S, Wang G, Wang P, Chen L. SMAD7 and SERPINE1 as novel dynamic network biomarkers detect and regulate the tipping point of TGF-beta induced EMT. Science Bulletin 2020;65:842-53. [DOI: 10.1016/j.scib.2020.01.013] [Cited by in Crossref: 5] [Cited by in F6Publishing: 2] [Article Influence: 2.5] [Reference Citation Analysis]
3 Liu L, Shao Z, Lv J, Xu F, Ren S, Jin Q, Yang J, Ma W, Xie H, Zhang D, Chen X. Identification of Early Warning Signals at the Critical Transition Point of Colorectal Cancer Based on Dynamic Network Analysis. Front Bioeng Biotechnol 2020;8:530. [PMID: 32548109 DOI: 10.3389/fbioe.2020.00530] [Cited by in Crossref: 3] [Cited by in F6Publishing: 1] [Article Influence: 1.5] [Reference Citation Analysis]
4 Pansare K, Mohanty B, Dhotre R, Pettiwala AM, Parab S, Gupta N, Gera P, Gardi N, Dugge R, Sahu P, Alhans R, Kowtal P, Chaudhari P, Sarin R. Aspirin Inhibition of Group VI Phospholipase A2 Induces Synthetic Lethality in AAM Pathway Down-Regulated Gingivobuccal Squamous Carcinoma. Cells 2021;11:123. [PMID: 35011685 DOI: 10.3390/cells11010123] [Reference Citation Analysis]
5 Fang Z, Chen L. Personalized prediction of human diseases with single-sample dynamic network biomarkers. Biomark Med 2020;14:615-20. [PMID: 32530294 DOI: 10.2217/bmm-2020-0066] [Reference Citation Analysis]
6 Lu L, Jiang Z, Dai Y, Chen L. Low-Grade Dysplastic Nodules Revealed as the Tipping Point during Multistep Hepatocarcinogenesis by Dynamic Network Biomarkers. Genes (Basel). 2017;8. [PMID: 29027943 DOI: 10.3390/genes8100268] [Cited by in Crossref: 9] [Cited by in F6Publishing: 8] [Article Influence: 1.8] [Reference Citation Analysis]
7 Lei X, Fang Z, Chen L, Wu FX. PWCDA: Path Weighted Method for Predicting circRNA-Disease Associations. Int J Mol Sci 2018;19:E3410. [PMID: 30384427 DOI: 10.3390/ijms19113410] [Cited by in Crossref: 36] [Cited by in F6Publishing: 23] [Article Influence: 9.0] [Reference Citation Analysis]
8 Hu B, Guo Y, Shi F, Zou X, Dong J, Pan L, Yu M, Zhou C, Cheng Z, Tang W, Sun H, Chen L. The generation mechanism of spike-and-slow wave discharges appearing on thalamic relay nuclei. Sci Rep 2018;8:4953. [PMID: 29563579 DOI: 10.1038/s41598-018-23280-y] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 0.5] [Reference Citation Analysis]
9 Tang H, Tang Y, Zeng T, Chen L. Gene expression analysis reveals the tipping points during infant brain development for human and chimpanzee. BMC Genomics 2020;21:74. [PMID: 32138647 DOI: 10.1186/s12864-020-6465-8] [Cited by in Crossref: 3] [Cited by in F6Publishing: 2] [Article Influence: 1.5] [Reference Citation Analysis]
10 Guo WF, Zhang SW, Shi QQ, Zhang CM, Zeng T, Chen L. A novel algorithm for finding optimal driver nodes to target control complex networks and its applications for drug targets identification. BMC Genomics 2018;19:924. [PMID: 29363426 DOI: 10.1186/s12864-017-4332-z] [Cited by in Crossref: 17] [Cited by in F6Publishing: 9] [Article Influence: 4.3] [Reference Citation Analysis]
11 Guo J, Liu W, Zeng Z, Lin J, Zhang X, Chen L. Tgfb3 and Mmp13 regulated the initiation of liver fibrosis progression as dynamic network biomarkers. J Cell Mol Med 2021;25:867-79. [PMID: 33269546 DOI: 10.1111/jcmm.16140] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
12 Lu Y, Fang Z, Zeng T, Li M, Chen Q, Zhang H, Zhou Q, Hu Y, Chen L, Su S. Chronic hepatitis B: dynamic change in Traditional Chinese Medicine syndrome by dynamic network biomarkers. Chin Med 2019;14:52. [PMID: 31768187 DOI: 10.1186/s13020-019-0275-4] [Cited by in Crossref: 7] [Cited by in F6Publishing: 5] [Article Influence: 2.3] [Reference Citation Analysis]
13 Otto AC, Gan-Schreier H, Zhu X, Tuma-Kellner S, Staffer S, Ganzha A, Liebisch G, Chamulitrat W. Group VIA phospholipase A2 deficiency in mice chronically fed with high-fat-diet attenuates hepatic steatosis by correcting a defect of phospholipid remodeling. Biochim Biophys Acta Mol Cell Biol Lipids 2019;1864:662-76. [PMID: 30735855 DOI: 10.1016/j.bbalip.2019.01.012] [Cited by in Crossref: 7] [Cited by in F6Publishing: 7] [Article Influence: 2.3] [Reference Citation Analysis]
14 Chen L. Computational systems biology for omics data analysis. J Mol Cell Biol 2019;11:631-2. [PMID: 31509200 DOI: 10.1093/jmcb/mjz095] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.5] [Reference Citation Analysis]
15 Shi J, Zhao J, Li T, Chen L. Detecting direct associations in a network by information theoretic approaches. Sci China Math 2019;62:823-38. [DOI: 10.1007/s11425-017-9206-0] [Cited by in Crossref: 7] [Cited by in F6Publishing: 2] [Article Influence: 1.8] [Reference Citation Analysis]
16 Yu X, Zhang J, Sun S, Zhou X, Zeng T, Chen L. Individual-specific edge-network analysis for disease prediction. Nucleic Acids Res 2017;45:e170. [PMID: 28981699 DOI: 10.1093/nar/gkx787] [Cited by in Crossref: 35] [Cited by in F6Publishing: 29] [Article Influence: 7.0] [Reference Citation Analysis]
17 Sun Y, Li C, Pang S, Yao Q, Chen L, Li Y, Zeng R. Kinase-substrate Edge Biomarkers Provide a More Accurate Prognostic Prediction in ER-negative Breast Cancer. Genomics Proteomics Bioinformatics 2020;18:525-38. [PMID: 33450402 DOI: 10.1016/j.gpb.2019.11.012] [Reference Citation Analysis]
18 He S, Wang H, Hao X, Wu Y, Bian X, Yin M, Zhang Y, Fan W, Dai H, Yuan L, Zhang P, Chen L. Dynamic network biomarker analysis discovers IbNAC083 in the initiation and regulation of sweet potato root tuberization. Plant J 2021;108:793-813. [PMID: 34460981 DOI: 10.1111/tpj.15478] [Reference Citation Analysis]
19 Hu J, Frömel T, Fleming I. Angiogenesis and vascular stability in eicosanoids and cancer. Cancer Metastasis Rev 2018;37:425-38. [PMID: 29808461 DOI: 10.1007/s10555-018-9732-2] [Cited by in Crossref: 9] [Cited by in F6Publishing: 9] [Article Influence: 3.0] [Reference Citation Analysis]
20 Kamimura K. Identification of molecular transition of hepatocellular carcinoma: a novel method to predict the initiation of metastasis. Stem Cell Investig 2019;6:5. [PMID: 30976602 DOI: 10.21037/sci.2019.02.02] [Reference Citation Analysis]
21 Lu Y, Fang Z, Li M, Chen Q, Zeng T, Lu L, Chen Q, Zhang H, Zhou Q, Sun Y, Xue X, Hu Y, Chen L, Su S. Dynamic edge-based biomarker non-invasively predicts hepatocellular carcinoma with hepatitis B virus infection for individual patients based on blood testing. J Mol Cell Biol 2019;11:665-77. [PMID: 30925583 DOI: 10.1093/jmcb/mjz025] [Cited by in Crossref: 6] [Cited by in F6Publishing: 6] [Article Influence: 3.0] [Reference Citation Analysis]
22 Shi Q, Zhang C, Guo W, Zeng T, Lu L, Jiang Z, Wang Z, Liu J, Chen L. Local network component analysis for quantifying transcription factor activities. Methods 2017;124:25-35. [PMID: 28710010 DOI: 10.1016/j.ymeth.2017.06.018] [Cited by in Crossref: 8] [Cited by in F6Publishing: 1] [Article Influence: 1.6] [Reference Citation Analysis]
23 Liu R, Chen P, Chen L, Cowen L. Single-sample landscape entropy reveals the imminent phase transition during disease progression. Bioinformatics 2020;36:1522-32. [DOI: 10.1093/bioinformatics/btz758] [Cited by in Crossref: 17] [Cited by in F6Publishing: 14] [Article Influence: 5.7] [Reference Citation Analysis]
24 Wang J, Li W, Zhou F, Feng R, Wang F, Zhang S, Li J, Li Q, Wang Y, Xie J, Wen T. ATP11B deficiency leads to impairment of hippocampal synaptic plasticity. J Mol Cell Biol 2019;11:688-702. [PMID: 31152587 DOI: 10.1093/jmcb/mjz042] [Cited by in Crossref: 4] [Cited by in F6Publishing: 3] [Article Influence: 2.0] [Reference Citation Analysis]
25 Hu B, Diao X, Zong L, Zhang J, Yu L, Dai H, Chen L. The onset mechanism of Parkinson's beta oscillations: A theoretical analysis. J Theor Biol 2019;470:1-16. [PMID: 30858065 DOI: 10.1016/j.jtbi.2019.03.008] [Reference Citation Analysis]
26 Wu Y, Cao Y, Xu K, Zhu Y, Qiao Y, Wu Y, Chen J, Li C, Zeng R, Ge G. Dynamically remodeled hepatic extracellular matrix predicts prognosis of early-stage cirrhosis. Cell Death Dis 2021;12:163. [PMID: 33558482 DOI: 10.1038/s41419-021-03443-y] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]
27 Kesavan R, Frömel T, Zukunft S, Laban H, Geyer A, Naeem Z, Heidler J, Wittig I, Elwakeel E, Brüne B, Weigert A, Popp R, Fleming I. Cyp2c44 regulates prostaglandin synthesis, lymphangiogenesis, and metastasis in a mouse model of breast cancer. Proc Natl Acad Sci U S A 2020;117:5923-30. [PMID: 32123095 DOI: 10.1073/pnas.1921381117] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]
28 Dai H, Li L, Zeng T, Chen L. Cell-specific network constructed by single-cell RNA sequencing data. Nucleic Acids Res 2019;47:e62. [PMID: 30864667 DOI: 10.1093/nar/gkz172] [Cited by in Crossref: 34] [Cited by in F6Publishing: 26] [Article Influence: 11.3] [Reference Citation Analysis]
29 Li Y, Lu X, Zhang J, Liu Q, Zhou D, Deng X, Qiu Y, Chen Q, Li M, Yang G, Zheng H, Dai J. Significance of Parkinson Family Genes in the Prognosis and Treatment Outcome Prediction for Lung Adenocarcinoma. Front Mol Biosci 2021;8:735263. [PMID: 34616772 DOI: 10.3389/fmolb.2021.735263] [Reference Citation Analysis]
30 Frömel T, Naeem Z, Pirzeh L, Fleming I. Cytochrome P450-derived fatty acid epoxides and diols in angiogenesis and stem cell biology. Pharmacol Ther 2021;:108049. [PMID: 34848204 DOI: 10.1016/j.pharmthera.2021.108049] [Reference Citation Analysis]
31 Liu R, Wang J, Ukai M, Sewon K, Chen P, Suzuki Y, Wang H, Aihara K, Okada-Hatakeyama M, Chen L. Hunt for the tipping point during endocrine resistance process in breast cancer by dynamic network biomarkers. J Mol Cell Biol 2019;11:649-64. [PMID: 30383247 DOI: 10.1093/jmcb/mjy059] [Cited by in Crossref: 31] [Cited by in F6Publishing: 29] [Article Influence: 15.5] [Reference Citation Analysis]
32 Lee SE, Alcedo KP, Kim HJ, Snider NT. Alternative Splicing in Hepatocellular Carcinoma. Cell Mol Gastroenterol Hepatol. 2020;10:699-712. [PMID: 32389640 DOI: 10.1016/j.jcmgh.2020.04.018] [Cited by in Crossref: 9] [Cited by in F6Publishing: 9] [Article Influence: 4.5] [Reference Citation Analysis]
33 Song YD, Li XZ, Wu YX, Shen Y, Liu FF, Gao PP, Sun L, Qian F. Emodin alleviates alternatively activated macrophage and asthmatic airway inflammation in a murine asthma model. Acta Pharmacol Sin 2018;39:1317-25. [PMID: 29417945 DOI: 10.1038/aps.2017.147] [Cited by in Crossref: 13] [Cited by in F6Publishing: 16] [Article Influence: 3.3] [Reference Citation Analysis]
34 Hu B, Shi Q, Guo Y, Diao X, Guo H, Zhang J, Yu L, Dai H, Chen L. The oscillatory boundary conditions of different frequency bands in Parkinson's disease. J Theor Biol 2018;451:67-79. [PMID: 29727632 DOI: 10.1016/j.jtbi.2018.04.040] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 0.8] [Reference Citation Analysis]
35 Yang B, Li M, Tang W, Liu W, Zhang S, Chen L, Xia J. Dynamic network biomarker indicates pulmonary metastasis at the tipping point of hepatocellular carcinoma. Nat Commun 2018;9:678. [PMID: 29445139 DOI: 10.1038/s41467-018-03024-2] [Cited by in Crossref: 64] [Cited by in F6Publishing: 61] [Article Influence: 16.0] [Reference Citation Analysis]
36 Hu J, Zeng T, Xia Q, Huang L, Zhang Y, Zhang C, Zeng Y, Liu H, Zhang S, Huang G, Wan W, Ding Y, Hu F, Yang C, Chen L, Wang W. Identification of Key Genes for the Ultrahigh Yield of Rice Using Dynamic Cross-tissue Network Analysis. Genomics Proteomics Bioinformatics 2020;18:256-70. [PMID: 32736037 DOI: 10.1016/j.gpb.2019.11.007] [Cited by in Crossref: 3] [Cited by in F6Publishing: 2] [Article Influence: 1.5] [Reference Citation Analysis]
37 Ge J, Song C, Zhang C, Liu X, Chen J, Dou K, Chen L. Personalized Early-Warning Signals during Progression of Human Coronary Atherosclerosis by Landscape Dynamic Network Biomarker. Genes (Basel) 2020;11:E676. [PMID: 32575789 DOI: 10.3390/genes11060676] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]
38 Liu X, Chang X, Leng S, Tang H, Aihara K, Chen L. Detection for disease tipping points by landscape dynamic network biomarkers. National Science Review 2019;6:775-85. [DOI: 10.1093/nsr/nwy162] [Cited by in Crossref: 34] [Cited by in F6Publishing: 12] [Article Influence: 8.5] [Reference Citation Analysis]