portrait2

Tian Hong

Assistant Professor

Department of Biochemistry and Cellular and Molecular Biology (BCMB)

National Institute for Mathematical and Biological Synthesis (NIMBioS)

E-mail: hongtian@utk.edu

Education & Training

Postdoctoral Scholar  Department of Mathematics, Center for Complex Biological Systems, UC Irvine

Ph.D.  Genetics, Bioinformatics and Computational Biology, Virginia Tech

M.S.    Bioinformatics, Nanyang Technological University, Singapore

B.S.     Biological Sciences, Nanyang Technological University, Singapore


Research

Tian Hong is a computational biologist with a broad interest in understanding complex biological processes using systems approach. He has developed a series of models for T cell differentiation. He is currently focusing on plasticity and heterogeneity of epithelial cells during development and cancer progression. He is also interested in identifying common performance objectives of biological circuits.

Theme: Plasticity and heterogeneity of living cells. Gene regulatory networks.

Biological problems: Dynamics of development, immune response and cancer progression. Spatial patterning of tissues.

Approaches: Bioinformatic analysis. Mathematical modeling of biomolecules and cells.


Publications

Li C, Hong T, Webb C, Karner H, Sun S, Nie Q. A self-enhanced transport feedback mechanism for X chromosome inactivation. Sci Rep 2016, 6:31517 [link] [pdf]

Ta CH, Nie Q, Hong T *. Controlling stochasticity in epithelial-mesenchymal transition through multiple intermediate cellular states. Discrete Continuous Dyn Syst Ser B 2016, 21(7): 2275-2291 (* corresponding author) [link] [pdf]

Li C, Hong T, Nie Q. Quantifying the landscape and kinetic paths for epithelial–mesenchymal transition from a core circuit. Phys Chem Chem Phys 2016, 18: 17949-17956 [link] [pdf]

Hong T, Watanabe K, Ta CH, Villarreal-Ponce A, Nie Q, Dai X. An Ovol2-Zeb1 Mutual Inhibitory Circuit Governs Bidirectional and Multi-step Transition between Epithelial and Mesenchymal States. PLoS Comput Biol 2015, 11(11): e1004569 [link] [pdf]

Hong T, Fung ES, Zhang L, Huynh G, Monuki ES, Nie Q. Semi-adaptive response and noise attenuation in BMP signaling. J R Soc Interface 2015, 12 (107): 20150258 [link] [pdf]

Hong T, Oguz C, Tyson JJ. A mathematical framework for understanding four-dimensional heterogeneous differentiation of CD4+ T cells. Bull Math Biol 2015, 77 (6): 1046-1064 [link] [pdf]

Chen Z, Barbi J, Bu S, Yang HY, Li Z, Gao Y, Jinasena D, Fu J, Lin F, Chen C, Zhang J, Yu N, Li X, Shan Z, Nie J, Gao Z, Hong T, Li Y, Yao Z, Zheng Y, Park BV, Pan Z, Zhang J, Dang E, Li Z, Wang H, Luo W, Li L, Semenza GL, Zheng SG, Loser K, Tsun A, Greene MI, Pardoll DM, Pan F, Li B. The ubiquitin ligase Stub1 negatively modulates regulatory T cell suppressive activity by promoting degradation of the transcription factor Foxp3. Immunity 2013, 39(2):272-85 [link] [pdf]

Jensen RV, DePasquale, SM, Harbolick EA, Hong T, Kernell AL, Kruchko DH, Modise T, Smith CE, McCarter LL, Stevens AM. Complete Genome Sequence of Pre-pandemic Vibrio parahaemolyticus BB22OP. Genome Announcements 2013, 1 [link] [pdf]

Hong T, Xing J, Li L, Tyson JJ. A simple theoretical framework for understanding heterogeneous differentiation of CD4+ T cells. BMC Syst Biol 2012, 6: 66 [link] [pdf]

Lin X, Hong T, Mu Y, Torres J. Identification of residues involved in water versus glycerol selectivity in aquaporins by differential residue pair co-evolution. Biochim Biophys Acta 2012, 1818(3):907-14 [link] [pdf]

Hong T, Xing J, Li L, Tyson JJ. A mathematical model for the reciprocal differentiation of T helper 17 cells and induced regulatory T cells. PLoS Comput Biol 2011, 7(7):e1002122 [link] [pdf]