Publications
Journal articles
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Chen, X., He, C., Zhang, Q., & Wang, X. (2024). Modularized design and construction of tunable microbial consortia with flexible topologies. ACS Synthetic Biology 2024 13 (1), 183-194. https://doi.org/10.1021/acssynbio.3c00420
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He, C., Han, L., Harris, D. C., Wang, X., & Kuang, Y. (2023). Reaction-diffusion modeling of E. Coli colony growth based on nutrient distribution and agar dehydration. Bulletin of Mathematical Biology, 85(7), 61. https://doi.org/10.1007/s11538-023-01163-2
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Harris, D. C., He, C., Preul, M., Kostelich, E., & Kuang, Y. (2023). Critical patch size of a two-population reaction-diffusion model describing brain tumor growth. SIAM Journal on Applied Mathematics, S249-S268. https://doi.org/10.1137/22M1509631
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He, C., Zhou, P., & Nie, Q. (2023). exFINDER: Identify external communication signals using single-cell transcriptomics data. Nucleic Acids Research, gkad262. https://doi.org/10.1093/nar/gkad262
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Han, L., He, C., Dinh, H., Fricks, J., & Kuang, Y. (2022). Learning Biological Dynamics From Spatio-Temporal Data by Gaussian Processes. Bulletin of Mathematical Biology, 84(7), 1-20. https://doi.org/10.1007/s11538-022-01022-6
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Phan, T., He, C., Loladze, I., Prater, C., Elser, J., & Kuang, Y. (2022). Dynamics and growth rate implications of ribosomes and mRNAs interaction in E. coli. Heliyon, 8(7), e09820. https://doi.org/10.1016/j.heliyon.2022.e09820
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Melendez-Alvarez, J., He, C., Zhang, R., Kuang, Y., & Tian, X. J. (2021). Emergent Damped Oscillation Induced by Nutrient-Modulating Growth Feedback. ACS Synthetic Biology, 10(5), 1227-1236. https://doi.org/10.1021/acssynbio.1c00041
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Han, L., He, C., & Kuang, Y. (2020). Dynamics of a model of tumor-immune interaction with time delay and noise. Discrete & Continuous Dynamical Systems-S, 13(9), 2347. https://doi.org/10.1021/acssynbio.1c00041
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He, C., Bayakhmetov, S., Harris, D. C., Kuang, Y., & Wang, X. (2020). A Predictive Reaction-Diffusion Based Model of E. coli Colony Growth Control. IEEE Control Systems Letters, 5(6), 1952-1957. https://doi.org/10.1109/LCSYS.2020.3046612
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Han, L., Eikenberry, S., He, C., Johnson, L., Preul, M. C., Kostelich, E. J., & Kuang, Y. (2019). Patient-specific parameter estimates of glioblastoma multiforme growth dynamics from a model with explicit birth and death rates. Mathematical biosciences and engineering: MBE, 16(5), 5307. https://doi.org/10.3934/mbe.2019265
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Phan, T., He, C., Martinez, A., & Kuang, Y. (2019). Dynamics and implications of models for intermittent androgen suppression therapy. Mathematical Biosciences and Engineering, 16(1), 187-204. https://doi.org/10.3934/mbe.2019010
Under review
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Phan, T. A. Q., Avila, A. U., Origer, N., He, C., Aleman, E., Shao, H., Jin, S., Oo, P. S., Nhan, E., Ma D., Digman, M. A., Lawson, D. A., Nie, Q., & Downing, T. L. Adhesome signaling mediates stemness acquisition through dynamic regulation of cell communication and fate trajectories. (Under 2nd round revision for Nature Communication)
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Wu, F., He, C., Fang, X., Baez, J., Ohnmacht, T., Zhang, Q., ... & Wang, X. A synthetic biology approach to sequential stripe patterning and somitogenesis. bioRxiv, 825406. https://www.biorxiv.org/content/10.1101/825406v2.abstract (Under revision for Science)
Preprints
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He, C., Luo S., & Nie, Q. Organ-organ communication through single cells.
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He, C., Simpson, C., Cossentino, I., Zhang, B., Tkachev, S., Eddins, D. J., Kosters, A., Yang, J., Levy, T., Possemato, A., Gregoretti, I., Ghosn, E. E. B., Colonna, M., Rikova, K., Nie, Q., & Orlova, D. Cell signaling networks discovery from multi-modal data.
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He, C., Tucker, R. T., Eshghi, S., Rovira, M., Mularoni, L., Nie, Q., & Parsons, M. Cell signaling networks discovery from multi-modal data.
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He, C., Subramanian, A., Nayak, P., Miller, C., Tatarakis, D., Nie, Q., & Schilling, F. T. Identification of the transition states in zebrafish neural crest development via single-cell analysis.
Thesis
He, C. (2021). Spatial-Temporal Patterning and Dynamics of E. Coli Growth with Nutrient Variation (Doctoral dissertation, Arizona State University).
Patent
Wu, F., Bayakhmetov, S., He, C., Zhang, Q., Chen, X., Kuang, Y., & Wang, X. (2022). U.S. Patent Application No. 17/382,305.