N. Brenner

Single-cell Growth Rate Variability in Balanced Exponential Growth

This study investigates growth-rate variability in bacteria during balanced exponential growth and presents a theoretical framework explaining it through a collective dynamic attractor.

Identifying Regulation with Adversarial Surrogate

This paper introduces IRAS, a method to identify control objectives in homeostatic systems using adversarial surrogates, showing it works on synthetic and natural data.

Universality of phenotypic distributions in bacteria

The paper identifies universal phenotypic distributions in bacteria by analyzing single-cell data and shows that shape-factors explain the universality of certain traits.

Race to survival during antibiotic breakdown determines the minimal surviving population size

The paper develops a theoretical framework to quantify collective antibiotic resistance in bacterial populations, showing survival depends on the ratio of death and antibiotic removal rates and cooperativity.

Interaction among bacterial cells triggers exit from lag phase

The paper measures how bacterial population size affects lag phase duration and finds that lag time decreases with inoculum size due to cell-cell interactions.

Multiple timescales in bacterial growth homeostasis

The paper identifies sloppy and stiff variables in bacterial growth homeostasis by analyzing single-cell dynamics and reveals a hierarchical buffering mechanism across multiple timescales.

Cephalosporins target quorum sensing and suppress virulence of Pseudomonas aeruginosa in Caenorhabditis elegans infection model

This study shows cephalosporins inhibit quorum sensing and virulence in Pseudomonas aeruginosa, improving survival in C. elegans.

Increased serological response against human herpesvirus 6A is associated with risk for multiple sclerosis

The paper investigates the association between serological responses to HHV-6A and HHV-6B and multiple sclerosis risk, finding increased risk with HHV-6A antibodies and interaction with EBV.

Scale free topology as an effective feedback system

The paper introduces a method to analyze scale-free networks by approximating hubs and studies their impact on network dynamics, finding that outgoing hubs drive convergence while incoming hubs do not.

Coexistence and cooperation in structured habitats

The paper investigates a microbial population dynamics model to show that long mixing timescales and spatial compartmentalization enable coexistence and cooperation through public good dynamics.