Jing Fei Huang


Affiliation: Kunming Institute of Zoology
Country: China


  1. Han F, Li G, Dai S, Huang J. Genome-wide metabolic model to improve understanding of CD4(+) T cell metabolism, immunometabolism and application in drug design. Mol Biosyst. 2016;12:431-43 pubmed publisher
    ..Finally, we applied CD4T1670 to evaluate the side-effects of certain drugs in preclinical experiments. These results suggested that CD4T1670 would be useful in understanding CD4(+) T cells and drug design systematically. ..
  2. He K, Li W, Guan D, Gong M, Ye S, Fang Z, et al. Regulatory network reconstruction of five essential microRNAs for survival analysis in breast cancer by integrating miRNA and mRNA expression datasets. Funct Integr Genomics. 2019;: pubmed publisher
    ..These results may provide new insights into regulatory network-based precision medicine for breast cancer. ..
  3. Li W, Dai S, Zheng J, Liu J, Huang J. Homocysteine Metabolism Gene Polymorphisms (MTHFR C677T, MTHFR A1298C, MTR A2756G and MTRR A66G) Jointly Elevate the Risk of Folate Deficiency. Nutrients. 2015;7:6670-87 pubmed publisher
    ..0107) and a cumulative effects model (p = 0.001). The results of this study have shown that interactions among homocysteine metabolism gene polymorphisms lead to dramatic elevations in the folate deficiency risk. ..
  4. Li W, Lv W, Dai S, Pan M, Huang J. Joint associations of folate, homocysteine and MTHFR, MTR and MTRR gene polymorphisms with dyslipidemia in a Chinese hypertensive population: a cross-sectional study. Lipids Health Dis. 2015;14:101 pubmed publisher
    ..031). Low folate status and homocysteine metabolism gene polymorphisms (MTHTR C677T, MTHFR A1298C, MTR A2756G and MTRR A66G) may have a synergistic effect increased the incidence of dyslipidemia in Chinese hypertensive population. ..
  5. Zhou X, Li G, An S, Li W, Yang H, Guo Y, et al. A new method of identifying glioblastoma subtypes and creation of corresponding animal models. Oncogene. 2018;37:4781-4791 pubmed publisher
    ..In conclusion, we show that the genetic alterations of CDKN2A and TP53 may be used to stratify GBM, and the new animal models matching this stratification method were generated. ..
  6. Dai S, Li G, Gao Y, Huang J. Pharmacophore-Map-Pick: A Method to Generate Pharmacophore Models for All Human GPCRs. Mol Inform. 2016;35:81-91 pubmed publisher
    ..A total of 2386 pharmacophore models for 819 different GPCRs (99?% coverage (819/825)) were generated and are available at http://bsb.kiz.ac.cn/GPCRPMD. ..