Publications
Jahn M, Crang N, Gynnå AH, Kabova D, Frielingsdorf S, Lenz O, Charpentier E, Hudson EP. The energy metabolism of Cupriavidus necator in different trophic conditions. Appl Environ Microbiol, 2024. DOI: 10.1128/aem.00748-24
Jahn M, Miao R, Shabestary K, Hudson EP. CRISPR interference screens reveal tradeoffs between growth rate and robustness in Synechocystis sp. PCC 6803 across trophic conditions. The Plant Cell, 2023. DOI: 10.1093/plcell/koad208
Janasch M, Crang N, Asplund-Samuelsson J, Sporre E, Bruch M, Gynnå A, Jahn M, Hudson EP. Thermodynamic limitations of PHB production from formate and fructose in Cupriavidus necator. Metabolic engineering, 2022. DOI: 10.1016/j.ymben.2022.08.005
Jahn M, Crang N, Janasch M, Hober A, Forsström B, Kimler K, Mattausch A, Chen Q, Asplund-Samuelsson J, Hudson EP. Protein allocation and utilization in the versatile chemolithoautotroph Cupriavidus necator, eLife, 2021. DOI: 10.7554/elife.69019
Karlsen J, Asplund-Samuelsson J, Jahn M, Vitay D, Hudson EP. Slow Protein Turnover Explains Limited Protein-Level Response to Diurnal Transcriptional Oscillations in Cyanobacteria. Frontiers in Microbiology, 12, 820, 2021. DOI: 10.3389/fmicb.2021.657379
Yao L, Shabestary K, Björk SM, Asplund-Samuelsson J, Joensson HN, Jahn M, Hudson EP. Pooled CRISPRi screening of the cyanobacterium Synechocystis sp PCC 6803 for enhanced industrial phenotypes. Nature Communications. 2020-12. DOI: 10.1038/s41467-020-15491-7
Karlsen J, Asplund-Samuelsson J, Thomas Q, Jahn M, Hudson EP. Ribosome Profiling of Synechocystis Reveals Altered Ribosome Allocation at Carbon Starvation. mSystems. 2018-10-16. DOI: 10.1128/mSystems.00126-18
Jahn M, Vialas V, Karlsen J, Maddalo G, Edfors F, Forsström B, Uhlén M, Käll L, Hudson EP. Growth of Cyanobacteria Is Constrained by the Abundance of Light and Carbon Assimilation Proteins. Cell Reports. 2018-10. DOI: 10.1016/j.celrep.2018.09.040
Shabestary K, Anfelt J, Ljungqvist E, Jahn M, Yao L, Hudson EP. Targeted Repression of Essential Genes To Arrest Growth and Increase Carbon Partitioning and Biofuel Titers in Cyanobacteria. ACS Synthetic Biology. 2018-06-06. DOI: 10.1021/acssynbio.8b00056
Jahn M, Vorpahl C, Hübschmann T, Harms H, Müller S. Copy number variability of expression plasmids determined by cell sorting and Droplet Digital PCR. Microbial cell factories. 2016-12. PMID: 27993152 PMC: PMC5168713 DOI: 10.1186/s12934-016-0610-8
Lieder S, Jahn M, Koepff J, Müller S, Takors R. Environmental stress speeds up DNA replication in Pseudomonas putida in chemostat cultivations. 2016-01. Biotechnology Journal. PMID: 26299279 DOI: 10.1002/biot.201500059
Rödiger S, Burdukiewicz M, Blagodatskikh K, Jahn M, Schierack P. R as an environment for the reproducible analysis of DNA amplification experiments. R Journal. 2015-06-01. ISSN: 2073-4859
Jahn M, Günther S, Müller S. Non-random distribution of macromolecules as driving forces for phenotypic variation. Current Opinion in Microbiology. 2015-06. PMID: 25974411 DOI: 10.1016/j.mib.2015.04.005
Lindmeyer M, Jahn M, Vorpahl C, Müller S, Schmid A, Bühler B. Variability in subpopulation formation propagates into biocatalytic variability of engineered Pseudomonas putida strains. Frontiers in microbiology. 2015. PMID: 26483771 PMC: PMC4589675 DOI: 10.3389/fmicb.2015.01042
Jahn M, Vorpahl C, Türkowsky D, Lindmeyer M, Bühler B, Harms H, Müller S. Accurate determination of plasmid copy number of flow-sorted cells using droplet digital PCR. Analytical Chemistry. 2014-06. PMID: 24842041 DOI: 10.1021/ac501118v
Lieder S, Jahn M, Seifert J, von Bergen M, Müller S, Takors R. Subpopulation-proteomics reveal growth rate, but not cell cycling, as a major impact on protein composition in Pseudomonas putida KT2440. AMB Express. 2014. PMID: 25401072 PMC: PMC4230896 DOI: 10.1186/s13568-014-0071-6
Jahn M, Seifert J, von Bergen M, Schmid A, Bühler B, Müller S. Subpopulation-proteomics in prokaryotic populations. Current Opinion in Biotechnology. 2013-02. PMID: 23153572 DOI: 10.1016/j.copbio.2012.10.017
Jahn M, Mölle A, Rödel G, Ostermann K. Temporal and spatial properties of a yeast multi-cellular amplification system based on signal molecule diffusion. Sensors. 2013. PMID: 24233076 PMC: PMC3871124 DOI: 10.3390/s131114511
Last updated: 2024-10-08