| mCherry contains a fluorescent protein isoform that interferes with its reporter function M Fages-Lartaud, L Tietze, F Elie, R Lale, MF Hohmann-Marriott Frontiers in Bioengineering and Biotechnology 10, 892138, 2022 | 22 | 2022 |
| Mechanisms governing codon usage bias and the implications for protein expression in the chloroplast of Chlamydomonas reinhardtii M Fages‐Lartaud, K Hundvin, MF Hohmann‐Marriott The Plant Journal 112 (4), 919-945, 2022 | 10 | 2022 |
| The development of polydimethysiloxane/ZnO–GO antifouling coatings X Zhang, E Årstøl, M Nymark, M Fages-Lartaud, Ø Mikkelsen Journal of Cluster Science 33 (6), 2407-2417, 2022 | 8 | 2022 |
| A universal approach to gene expression engineering R Lale, L Tietze, M Fages-Lartaud, J Nesje, I Onsager, K Engelhardt, ... Synthetic Biology 7 (1), ysac017, 2022 | 8 | 2022 |
| Overview of tRNA modifications in chloroplasts M Fages-Lartaud, MF Hohmann-Marriott Microorganisms 10 (2), 226, 2022 | 5 | 2022 |
| Standard Intein Gene Expression Ramps (SIGER) for protein-independent expression control M Fages-Lartaud, Y Mueller, F Elie, G Courtade, MF Hohmann-Marriott ACS Synthetic Biology 12 (4), 1058-1071, 2023 | 1 | 2023 |
| High-resolution mapping of Sigma Factor DNA Binding Sequences using Artificial Promoters, RNA Aptamers and Deep Sequencing EA Khan, C Rückert-Reed, GS Dahiya, L Tietze, M Fages-Lartaud, ... bioRxiv, 2024.10. 18.619134, 2024 | | 2024 |
| From Context to Code: Rational De Novo DNA Design and Predicting Cross-Species DNA Functionality Using Deep Learning Transformer Models GS Dahiya, TI Bakken, M Fages-Lartaud, R Lale bioRxiv, 2023.10. 15.562386, 2023 | | 2023 |
| Method for engineering artificial bidirectional promoters M Fages-Lartaud, W Prone, Y Mueller, R Lale | | 2022 |
| Insights into codon usage bias and development of synthetic biology tools for advancing gene and pathway expression in microorganisms M Fages-Lartaud NTNU, 2022 | | 2022 |
