Sang Woo Seo
Affiliations: | 2003-2012 | Chemical Engineering | Pohang University of Science and Technology (POSTECH), Pohang, Gyeongsangbuk-do, South Korea |
| 2013-2015 | Bioengineering | University of California, San Diego, La Jolla, CA | |
| 2016- | Chemical Engineering | Seoul Nation University, Seoul, Seoul, South Korea |
Website:
https://sites.google.com/site/cbesnuseolab/homeGoogle:
"Sang Woo Seo"Parents
Sign in to add mentor| Gyoo Yeol Jung | grad student | 2012 | POSTECH |
| Bernhard O. Palsson | post-doc | 2013-2015 | UCSD |
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Publications
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| Han YH, Kim HJ, Kim K, et al. (2024) Synthetic translational coupling system for accurate and predictable polycistronic gene expression control in bacteria. Metabolic Engineering. 88: 148-159 |
| Woo S, Han YH, Lee HK, et al. (2024) Generation of a Vibrio-based platform for efficient conversion of raffinose through Adaptive Laboratory Evolution on a solid medium. Metabolic Engineering. 86: 300-307 |
| Byun G, Yang J, Seo SW. (2023) CRISPRi-mediated tunable control of gene expression level with engineered single-guide RNA in Escherichia coli. Nucleic Acids Research |
| Park JY, Lee SM, Ebrahim A, et al. (2023) Model-driven experimental design workflow expands understanding of regulatory role of Nac in . Nar Genomics and Bioinformatics. 5: lqad006 |
| Choe D, Kim U, Hwang S, et al. (2022) Revealing Causes for False-Positive and False-Negative Calling of Gene Essentiality in Escherichia coli Using Transposon Insertion Sequencing. Msystems. e0089622 |
| Woo S, Lim HG, Han YH, et al. (2022) A Vibrio-based microbial platform for accelerated lignocellulosic sugar conversion. Biotechnology For Biofuels and Bioproducts. 15: 58 |
| Kim S, Jin SH, Lim HG, et al. (2021) Synthetic cellular communication-based screening for strains with improved 3-hydroxypropionic acid secretion. Lab On a Chip |
| Seok JY, Han YH, Yang JS, et al. (2021) Synthetic biosensor accelerates evolution by rewiring carbon metabolism toward a specific metabolite. Cell Reports. 36: 109589 |
| 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 |