Publications
Park, J.H., Hothi, P., de Lomana, A.L.G., Pan, M.., Calder, R., Turkarslan, S., Wu, W.J., Lee, H., Patel, A.P., Cobbs, C., Huang, S., Baliga, N.S. Gene regulatory network topology governs resistance and treatment escape in glioma stem-like cells. Sci. Adv.10, eadj7706 (2024).
Park, J.H., Feroze, A.H., Emerson, S.N., Mihalas, A.B., Keene, C.D., Cimino, P.J., de Lomana, A.L.G., Kannan, K., Wu, W.-J., Turkarslan, S., et al. A single-cell based precision medicine approach using glioblastoma patient-specific models. npj Precis. Onc. (2022).
Park J.H., de Lomana ALG, Marzese DM, Juarez T, Feroze A, Hothi P et al. A Systems Approach to Brain Tumor Treatment. Cancers (2021); 13.
Park, J.H., Gorky, J., Ogunnaike, B., Vadigepalli, R., Schwaber, J.S. Investigating the Effects of Brainstem Neuronal Adaptation on Cardiovascular Homeostasis. Front. Neurosci. (2020), 14, 470
O’Sullivan, S.J., Malahias, E., Park, J., Srivastava, A., Reyes, B.A.S., Gorky, J., Vadigepalli, R., Van Bockstaele, E.J., Schwaber, J.S. Single-Cell Glia and Neuron Gene Expression in the Central Amygdala in Opioid Withdrawal Suggests Inflammation With Correlated Gut Dysbiosis. Front. Neurosci. (2019), 13, 665
Juarez TM, Carrillo JA, Achrol AA, Salomon MP, Marzese DM, Park J.H. et al. Understanding the brain tumor microenvironment : Considerations to applying systems biology and immunotherapy. Int J Neurooncology (2018); 1: 25–33.
Park, J., Zhu, H., O’Sullivan, S., Ogunnaike, B.A., Weaver, D.R., Schwaber, J.S., Vadigepalli, R. Single-cell Transcriptional Analysis Reveals Novel Neuronal Phenotypes and Interaction Networks involved In the Central Circadian Clock. Front. Neurosci. (2016), 10.
Park, J., Ogunnaike, B., Schwaber, J., & Vadigepalli, R. (2015). “Identifying Functional Gene Regulatory Network Phenotypes Underlying Single Cell Transcriptional Variability.” Prog. Biophys. Mol. Biol., 117(1), 87–98.
Park, J.*, Brureau, A.*, Kernan, K., Starks, A., Gulati, S., Ogunnaike, B., Schwaber, J., Vadigepalli, R. (2014). “Inputs drive cell phenotype variability.” Genome Research, 24(6), 930–941
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