Teresa W. Lo

OmniSegger is an updated image analysis pipeline for bacterial cells that improves robustness to cell morphology and supports multiple imaging modalities, providing quantitative cellular analyses.

The paper develops a mathematical model to show that fitness maximization leads to protein overabundance, a transcriptional floor, and balanced transcription-translation load.

The paper investigates protein overabundance in Acinetobacter baylyi by analyzing proliferation dynamics of essential-gene knockouts, finding that most essential proteins are overabundant and that overabundance increases as expression levels decrease.

The paper identifies a conserved minimum transcription level of one message per cell cycle for essential genes across E. coli, yeast, and human, linking it to noise robustness.