| Engineering microbial biofuel tolerance and export using efflux pumps MJ Dunlop, ZY Dossani, HL Szmidt, HC Chu, TS Lee, JD Keasling, ... Molecular systems biology 7 (1), 487, 2011 | 592 | 2011 |
| Engineering microbes for tolerance to next-generation biofuels MJ Dunlop Biotechnology for biofuels 4, 1-9, 2011 | 347 | 2011 |
| Regulatory activity revealed by dynamic correlations in gene expression noise MJ Dunlop, RS Cox III, JH Levine, RM Murray, MB Elowitz Nature genetics 40 (12), 1493-1498, 2008 | 267 | 2008 |
| Heterogeneity in efflux pump expression predisposes antibiotic-resistant cells to mutation I El Meouche, MJ Dunlop Science 362 (6415), 686-690, 2018 | 200 | 2018 |
| DeLTA: Automated cell segmentation, tracking, and lineage reconstruction using deep learning JB Lugagne, H Lin, MJ Dunlop PLoS computational biology 16 (4), e1007673, 2020 | 186 | 2020 |
| A model for improving microbial biofuel production using a synthetic feedback loop MJ Dunlop, JD Keasling, A Mukhopadhyay Systems and synthetic biology 4, 95-104, 2010 | 152 | 2010 |
| Stochastic expression of a multiple antibiotic resistance activator confers transient resistance in single cells I El Meouche, Y Siu, MJ Dunlop Scientific reports 6 (1), 19538, 2016 | 136 | 2016 |
| Multiple functions of a feed-forward-loop gene circuit ME Wall, MJ Dunlop, WS Hlavacek Journal of molecular biology 349 (3), 501-514, 2005 | 99 | 2005 |
| A synthetic three-color scaffold for monitoring genetic regulation and noise RS Cox, MJ Dunlop, MB Elowitz Journal of biological engineering 4, 1-12, 2010 | 90 | 2010 |
| Microsecond fingerprint stimulated Raman spectroscopic imaging by ultrafast tuning and spatial-spectral learning H Lin, HJ Lee, N Tague, JB Lugagne, C Zong, F Deng, J Shin, L Tian, ... Nature communications 12 (1), 3052, 2021 | 86 | 2021 |
| Bacterial persistence induced by salicylate via reactive oxygen species T Wang, I El Meouche, MJ Dunlop Scientific reports 7 (1), 43839, 2017 | 76 | 2017 |
| Trade-offs in improving biofuel tolerance using combinations of efflux pumps WJ Turner, MJ Dunlop ACS synthetic biology 4 (10), 1056-1063, 2015 | 74 | 2015 |
| DeLTA 2.0: A deep learning pipeline for quantifying single-cell spatial and temporal dynamics OM O’Connor, RN Alnahhas, JB Lugagne, MJ Dunlop PLoS computational biology 18 (1), e1009797, 2022 | 63 | 2022 |
| Core competencies for undergraduates in bioengineering and biomedical engineering: findings, consequences, and recommendations JA White, DP Gaver, RJ Butera, B Choi, MJ Dunlop, KJ Grande-Allen, ... Annals of biomedical engineering 48, 905-912, 2020 | 60 | 2020 |
| Synthetic feedback loop model for increasing microbial biofuel production using a biosensor ME Harrison, MJ Dunlop Frontiers in microbiology 3, 360, 2012 | 57 | 2012 |
| Distinct timescales of RNA regulators enable the construction of a genetic pulse generator A Westbrook, X Tang, R Marshall, CS Maxwell, J Chappell, DK Agrawal, ... Biotechnology and bioengineering 116 (5), 1139-1151, 2019 | 53 | 2019 |
| Tunable Stochastic Pulsing in the Escherichia coli Multiple Antibiotic Resistance Network from Interlinked Positive and Negative Feedback Loops J Garcia-Bernardo, MJ Dunlop PLoS computational biology 9 (9), e1003229, 2013 | 53 | 2013 |
| Design and selection of a synthetic feedback loop for optimizing biofuel tolerance Y Siu, J Fenno, JM Lindle, MJ Dunlop ACS synthetic biology 7 (1), 16-23, 2018 | 51 | 2018 |
| Light-inducible recombinases for bacterial optogenetics MB Sheets, WW Wong, MJ Dunlop ACS Synthetic Biology 9 (2), 227-235, 2020 | 47 | 2020 |
| Dynamic gene expression and growth underlie cell-to-cell heterogeneity in Escherichia coli stress response NMV Sampaio, CM Blassick, V Andreani, JB Lugagne, MJ Dunlop Proceedings of the National Academy of Sciences 119 (14), e2115032119, 2022 | 44 | 2022 |
Jay KeaslingProfessor of Chemical & Biomolecular Engineering and of Bioengineering, University of California在 lbl.gov 的电子邮件经过验证
