The <i>Escherichia coli</i> baby cell column: a novel cell synchronization method provides new insight into the bacterial cell cycle
Bibliographic record
Abstract
We describe a new method for synchronizing bacterial cells. Cells that have transiently expressed an inducible mutant 'sticky' flagellin are adhered to a volume of glass beads suspended in a chromatography column though which growth medium is pumped. Following repression of flagellin synthesis, newborn cells are eluted from the column in large quantities exceeding that of current baby machine techniques by approximately 10-fold. Eluted cultures of 'baby cells' are highly synchronous as determined by analysis of DNA replication, cell division and other events, over time after elution from the column. We also show that use of 'minutes after elution' as a time metric permits much greater temporal resolution among sequential chromosomal events than the commonly used metric of cell size (length). The former approach reveals the existence of transient intermediate stages that are missed by the latter approach. This finding has two important implications. First, at a practical level, the baby cell column is a particularly powerful method for temporal analysis. Second, at a conceptual level, replication-related events are more tightly linked to cell birth (i.e. cell division) than to absolute cell mass.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.002 |
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".