Justin Tan

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2019 University of California, San Diego, La Jolla, CA 
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"Justin Tan"
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Rychel K, Tan J, Patel A, et al. (2023) Laboratory evolution, transcriptomics, and modeling reveal mechanisms of paraquat tolerance. Cell Reports. 42: 113105
Phaneuf PV, Yurkovich JT, Heckmann D, et al. (2020) Causal mutations from adaptive laboratory evolution are outlined by multiple scales of genome annotations and condition-specificity. Bmc Genomics. 21: 514
Tan J, Sastry AV, Fremming KS, et al. (2020) Independent component analysis of E. coli's transcriptome reveals the cellular processes that respond to heterologous gene expression. Metabolic Engineering
Yang L, Mih N, Anand A, et al. (2019) Cellular responses to reactive oxygen species are predicted from molecular mechanisms. Proceedings of the National Academy of Sciences of the United States of America
Fang X, Sastry A, Mih N, et al. (2017) Global transcriptional regulatory network for Escherichia coli robustly connects gene expression to transcription factor activities. Proceedings of the National Academy of Sciences of the United States of America
Ebrahim A, Brunk E, Tan J, et al. (2016) Multi-omic data integration enables discovery of hidden biological regularities. Nature Communications. 7: 13091
Du B, Zielinski DC, Kavvas ES, et al. (2016) Evaluation of rate law approximations in bottom-up kinetic models of metabolism. Bmc Systems Biology. 10: 40
Yang L, Tan J, O'Brien EJ, et al. (2015) Systems biology definition of the core proteome of metabolism and expression is consistent with high-throughput data. Proceedings of the National Academy of Sciences of the United States of America
Chen P, Torralba M, Tan J, et al. (2015) Supplementation of saturated long-chain fatty acids maintains intestinal eubiosis and reduces ethanol-induced liver injury in mice. Gastroenterology. 148: 203-214.e16
Latif H, Szubin R, Tan J, et al. (2014) A streamlined ribosome profiling protocol for the characterization of microorganisms. Biotechniques. 58: 329-32
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