Characterization of Patterned Microbial Growth Dynamics in Aqueous Two-Phase Polymer Scaffolds
Bibliographic record
Abstract
High Resolution Image Download MS PowerPoint Slide Microbial growth confinement using liquid scaffolds based on an aqueous two-phase system (ATPS) is a promising technique to overcome the challenges in microbial–mammalian co-culture in vitro . To better understand the potential use of the ATPS in studying these complex interactions, the goal of this research was to characterize the effects of bacteria loading and biofilm maturation on the stability of a polyethylene glycol (PEG) and dextran (DEX) ATPS. Two ATPS formulations, consisting of 5% PEG/5% DEX and 10% PEG/10% DEX (w/v), were prepared. To test the containment limits of each ATPS formulation, Escherichia coli MG1655 overnight cultures were resuspended in DEX at optical densities (ODs) of 1, 0.3, 0.1, 0.03, and 0.01. Established E. coli colonies initially seeded at lower densities were contained within the DEX phase to a greater extent than E. coli colonies initially seeded at higher densities. Furthermore, the 10% PEG/10% DEX formulation demonstrated longer containment time of E. coli compared to the 5% PEG/5% DEX formulation. E. coli growth dynamics within the ATPS were found to be affected by the initial bacterial density, where colonies of lower initial seeding densities demonstrate more dynamic growth trends compared to colonies of higher initial seeding densities. However, the addition of DEX to the existing ATPS during the growth phase of the bacterial colony does not appear to disrupt the growth inertia of E. coli . We also observed that microbial growth can disrupt ATPS stability below the physical carrying capacity of the DEX droplets. In both E. coli and Streptococcus mutans UA159 colonies, the ATPS interfacial tensions are reduced, as suggested by the loss of fluorescein isothiocyanate (FITC)–DEX confinement and contact angel measurements, while the microbial colony remained well defined. In general, we observed that the stability of the ATPS microbial colony is proportional to polymer concentrations and inversely proportional to seeding density and culture time. These parameters can be combined as part of a toolset to control microbial growth in a heterotypic co-culture platform and should be considered in future work involving mammalian–microbial cell interactions.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".