P. Francois

Extensive uORF translation from HIV-1 transcripts conditions DDX3 dependency for expression of main ORFs and elicits specific T cell immune responses in infected individuals

The paper characterizes HIV-1 translational landscape, revealing uORF translation and its role in DDX3 dependency and T cell immune responses.

Pre-existing chromatin accessibility and gene expression differences among naïve CD4+ T cells influence effector potential

The paper shows pre-existing transcriptional and chromatin differences in naive CD4+ T cells influence their effector lineage potential.

Proteins with prion-like domains can form viscoelastic condensates that enable membrane remodeling and endocytosis

The paper shows that prion-like domain-containing endocytic coat proteins form viscoelastic condensates that enable actin-independent membrane remodeling and endocytosis in yeast.

Geometric models for robust encoding of dynamical information into embryonic patterns

This study introduces a geometric approach to analyze genetic regime transitions in embryonic patterning, finding that global bifurcations are more robust and preserve dynamical information better than local ones.

RpiRc regulates RsbU to modulate eDNA-dependent biofilm formation and in vivo virulence of Staphylococcus aureus in a mouse model of catheter infection

This study identifies RpiRc as a regulator of eDNA-dependent biofilm formation and virulence in S. aureus, showing reduced biofilm formation and antibiotic tolerance in its mutant.

Attack and defence in cellular decision-making: lessons from machine learning

The paper draws an analogy between machine learning adversarial attacks and cellular decision-making, showing how antagonism and defence mechanisms shape loss landscapes in both systems.

Kinesin-5 forms a stable bipolar spindle in a fast, irreversible snap

The paper shows Kinesin-5 crosslinking drives fast, irreversible pole separation in monopolar spindles, forming a stable bipolar spindle.

Numerical parameter space compression and its application to microtubule dynamic instability

The paper introduces a numerical parameter space compression method to identify essential parameters in computational models, applying it to microtubule dynamic instability and showing it reveals low-dimensional structure.