1-20 of 656
Sort by
Journal Article
Selina Rust and Lennart Randau
microLife, Volume 6, 2025, uqaf006, https://doi.org/10.1093/femsml/uqaf006
Published: 01 April 2025
Image
Published: 01 April 2025
Figure 4. Influence of different expression systems on colony heterogeneity. (A) Results of EoT assays using different expression plasmids (pCDF, pET, or pRSF). A target plasmid with a matching protospacer was used as a targeting control (T) in combination of each plasmid, while a nontarget plasmid, carrying
Image
Published: 01 April 2025
Figure 2. Type IV-A1 CRISPRi assays result in heterogenous colonies. (A) Plasmids contain genes encoding the Type IV-A1 crRNP proteins (Cas5, Cas6, Cas8, Cas7, and CasDinG) and a minimal CRISPR array (repeat-spacer-repeat). After induction with arabinose and IPTG proteins associate to Type IV-A1 crRNPs with s
Image
Published: 01 April 2025
Figure 1. Imaging chamber SMARTIS. (A) Schematic representation of SMARTIS. The walls of SMARTIS consist of plexiglass in which LED lights are installed. Here, a metal frame serves to attach inner and outer panels made out of PVC or Plexiglas. LED lights are turned on using a switch on the outside, while ligh
Image
Published: 01 April 2025
Figure 3. SMARTIS reveals growth dynamics of cells after an EoT assay. (A) Colony growth on respective plates of different controls after an EoT assay that was performed according to Fig.  1(D) . Plates of a 10 –3 dilution of a NT control and a 10 –1 dilution of a targeting control (T) grew at 37°C and were
Journal Article
microLife, Volume 6, 2025, uqaf004, https://doi.org/10.1093/femsml/uqaf004
Published: 28 March 2025
Image
Published: 13 March 2025
Figure 2. The protein concentration time courses for scenario III (  s −1 ), calculated using dynamic protein capacity. Optimal protein distribution (see Table  1 , column 3) was calculated by random search optimization for the case of constant protein capacity.
Image
Published: 13 March 2025
Figure 3. The basic concept of dynamic optimization. The time courses are for illustratory purposes only and do not represent the current results. t , time; , state variables (in our case, metabolite concentrations); , controls (in our case, enzyme concentrations).
Journal Article
Wassili Dimitriew and Stefan Schuster
microLife, Volume 6, 2025, uqaf005, https://doi.org/10.1093/femsml/uqaf005
Published: 13 March 2025
Image
Published: 13 March 2025
Figure 5. The results of dynamic optimization for parameter sets composed from values obtained by log-normal distribution of kinetic parameters from scenario III. Icl and Ict, concentrations of the corresponding enzymes; , protein capacity; Icl with percentages in the subscript are the areas in which the b
Image
Published: 13 March 2025
Figure 1. Scheme of the proposed model. ITAC and CIS-ACO, host metabolites; ICIT, GLX and ITAC-COA, pathogen metabolites; Icl, Ict and Cad, enzymes; horizontal bar, regulatory influence, which connects ITAC with the glyoxylate shunt.
Image
Published: 13 March 2025
Figure 4. Enzyme concentration time courses obtained as a result of dynamic optimization for scenarios I–III ( and  s −1 , respectively). The boundary effect is clearly seen for all the scenarios. Icl and Ict, concentrations of the corresponding enzymes; C , protein capacity.
Journal Article
ACCEPTED MANUSCRIPT
Harald Brüssow
Published: 10 February 2025
Journal Article
Carole Armal and others
microLife, Volume 6, 2025, uqaf001, https://doi.org/10.1093/femsml/uqaf001
Published: 31 January 2025
Image
Published: 31 January 2025
Figure 1. Picture of the participants of the eighth annual meeting of the Réseau Bactériophage France.
Image
Published: 31 January 2025
Figure 2. Picture of the contest “Build your Phage” with Lego blocks.
Image
Published: 28 January 2025
Journal Article
microLife, Volume 6, 2025, uqae028, https://doi.org/10.1093/femsml/uqae028
Published: 28 January 2025
Image
Published: 23 January 2025
Figure 1. Microbial community composition in the Filicudi oil reservoir from the high-sequencing depth metagenome. For information about taxonomic assignment of eukaryotic MAGs please see the section “Methods” and Figure S2 . The phylogenetic tree of bacterial MAGs was constructed with GTDB-Tk2 (Chaumeil et
Image
Published: 23 January 2025
Figure 4. Plasmids and viruses in the pristine Filicudi reservoir. (A) Length in base pairs (bp) and GC content of predicted plasmids in the Filicudi oil reservoir across all three metagenomes. Colored circles represent plasmid taxonomic units (PTUs) and previously associated host lineages of said PTUs. Auxil