Jared Churko

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• Vercelli, D., Nikolich-Zugich, J., Kraft, M., Anderson, D., Churko, J., Ezeh, P., Malone, S. P., Hahn, S., Conway, M. Y., VanLinden, S. R., Pivniouk, D., Michael, A., Uhrlaub, J. L., DeVries, A., Pivniouk, O., & Pivniouk, V. I. (2021). The OM-85 bacterial lysate inhibits SARS-CoV-2 infection of epithelial cells by downregulating SARS-CoV-2 receptor expression. The Journal of Allergy and Clinical Immunology. doi:10.1016/j.jaci.2021.11.019
• Churko, J. M. (2018). Linking Clinical Parameters and Genotype in Dilated Cardiomyopathy. Circulation. Heart failure, 11(11), e005459.
• Churko, J. M., Garg, P., Treutlein, B., Venkatasubramanian, M., Wu, H., Lee, J., Wessells, Q. N., Chen, S. Y., Chen, W. Y., Chetal, K., Mantalas, G., Neff, N., Jabart, E., Sharma, A., Nolan, G. P., Salomonis, N., & Wu, J. C. (2018). Defining human cardiac transcription factor hierarchies using integrated single-cell heterogeneity analysis. Nature communications, 9(1), 4906.
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  Human induced pluripotent stem cell-derived cardiomyocytes (hiPSC-CMs) have become a powerful tool for human disease modeling and therapeutic testing. However, their use remains limited by their immaturity and heterogeneity. To characterize the source of this heterogeneity, we applied complementary single-cell RNA-seq and bulk RNA-seq technologies over time during hiPSC cardiac differentiation and in the adult heart. Using integrated transcriptomic and splicing analysis, more than half a dozen distinct single-cell populations were observed, several of which were coincident at a single time-point, day 30 of differentiation. To dissect the role of distinct cardiac transcriptional regulators associated with each cell population, we systematically tested the effect of a gain or loss of three transcription factors (NR2F2, TBX5, and HEY2), using CRISPR genome editing and ChIP-seq, in conjunction with patch clamp, calcium imaging, and CyTOF analysis. These targets, data, and integrative genomics analysis methods provide a powerful platform for understanding in vitro cellular heterogeneity.