Publication

GoogleScholar

  1. Menn, D.J., Sochor P., Goetz, H., Tian, X.-J.*, Wang X.*, Intracellular noise level determines ratio control strategy confined by speed-accuracy tradeoff, (ACS Synthetic Biology). 2019. (*Co-corresponding authors)
  2. M. Singh*X. -J., Tian*,  V. S. Donnenberg,  A. M. Watson,  J. Zhang, L. P. Stabile, S.C. Watkins,  J. Xing and  S. Sant. Targeting temporal dynamics of microenvironmental factors halts tumor migration and alleviates effects of dynamic tumor heterogeneity, Cancer Research.(2019) pii: canres.3151.2018. (*co-first authors)
  3. J Xing*, X. -J., Tian*,  Investigating epithelial-to-mesenchymal transition with integrated computational and experimental approaches. Physical Biology (2019) 16(3):031001. (*Co-corresponding authors)
  4. X. -J., Tian*,  M. V., Ferro, and H., Goetz. Modeling ncRNA-Mediated Circuits in Cell Fate Decision. Methods in molecular biology (Clifton, NJ) 1912 (2019): 411-426. (Corresponding authors)
  5. X.-J., Tian*, D. Zhou*, H. Fu*, R. Zhang, X. Wang, S. Huang, Y. Liu and J. Xing. Trade-off between Quick Repair and Complete Resolution Complicates Recovery from Kidney Injury. arXiv (2018): 1810.03687v03681. (*co-first authors)
  6. J Zhang*, X-J Tian*, Y-J Chen, W Wang, S Watkins, and J Xing, Pathway crosstalk enables cells to interpret TGF-β duration. npj Systems Biology and Applications, 2018. 4:18. (*co-first authors)
  7. Zhou, D., Fu, H., Xiao, L., Mo, H., Zhuo, H., Tian, X.-J, Lin, L., Xing, J., and Liu, Y. Fibroblast-Specific β-catenin Signaling Dictates the Outcome of AKI. JASN, 2018. 29.
  8. Tian, X.-J.*, Zhang, H.*, Sannerud, J., and Xing, J., Achieving diverse and monoallelic olfactory receptor selection through dual-objective optimization design. PNAS, 2016. 113: E2889-98 (*co-first authors, the work solved a decades-long Nobel-Prize-winning puzzle, Reported by 24news outletsPittsburgh’s National Public Radio Station, org, UPI.com, AAAS, DailyMail)
  9. Tian, X.-J.*, Zhang, H., Zhang, J., and Xing, J.* mRNA-miRNA Reciprocal Regulation Enabled Bistable Switch Directs Cell Fate Decision. FEBS Lett, 2016. 590: 3443-55. (*Co-corresponding authors)
  10. Zhang, J., Tian, X.-J., and Xing, J., Signal Transduction Pathways of EMT Induced by TGFβ, SHH, and WNT and Their Crosstalks. J Clin Med, 2016. 5: 41.
  11. Zhang, J.*, Tian, X.-J.*, Zhang, H., Teng, Y., Li, R., Bai, F., Elankumaran, S., and Xing, J., TGFβ-induced epithelial-to-mesenchymal transition proceeds through stepwise activation of multiple feedback loops. Sci Signal, 2014. 7: ra91 (*co-first authors) (Quantitative experimental verification of the predictions from my mathematical model of EMT).
  12. Zhang, H., Tian, X.-J., Mukhopadhyay, A., Kim, K. S., and Xing, J., Statistical mechanics model for the dynamics of collective epigenetic histone modification. Phys Rev Lett, 112: 068101.
  13. Wang, P., Song, C., Zhang, H., Wu, Z., Tian, X.-J., and Xing, J., Epigenetic state network approach for describing cell phenotypic transitions. Interface Focus, 2014. 4: 20130068.
  14. Zhang, Q. H., Tian, X.-J., Liu, F., and Wang, W., A switch-like dynamic mechanism for the initiation of replicative senescence. FEBS Lett, 2014. 588: 4369-74.
  15. Tian, X.-J., Zhang, H., and Xing, J., Coupled reversible and irreversible bistable switches underlying TGFβ-induced epithelial to mesenchymal transition. Biophys J, 105: 1079-89. (First mathematical model of EMT predicted a partial EMT state which is crucial for cancer metastasis and renal fibrosis.).
  16. Hu, Y., Ru, N., Xiao, H., Chaturbedi, A., Hoa, N. T., Tian, X.-J., Zhang, H., Ke, C., Yan, F., Nelson, J., Li, Z., Gramer, R., Yu, L., Siegel, E., Zhang, X., Jia, Z., Jadus, M. R., Limoli, C. L., Linskey, M. E., Xing, J., and Zhou, Y. H., Tumor-specific chromosome mis-segregation controls cancer plasticity by maintaining tumor heterogeneity. PLoS One, 2013. 8: e80898.
  17. Tian, X.-J., Liu, F., Zhang, X. P., Li, J., and Wang, W., A two-step mechanism for cell fate decision by coordination of nuclear and mitochondrial p53 activities. PLoS One, 2012. 7: e38164.
  18. Tian, X.-J., Zhang, X. P., Liu, F., and Wang, W., Interlinking positive and negative feedback loops creates a tunable motif in gene regulatory networks. Phys Rev E, 2009. 80: 011926.
  19. Xing, J., Yu, J., Zhang, H., and Tian, X.-J., Computational modeling to elucidate mechanisms of epigenetic memory, in Epigenetic Technological Applications (Elsevier, Editor: George Zheng), Elsevier (2015).