Thomas Boudier

Modulation of SARS-CoV-2 spike binding to ACE2 throughconformational selection

This study uses single-molecule techniques to show that SARS-CoV-2 spike protein RBD dynamics modulate ACE2 binding through conformational selection without affecting unbinding.

Pre-plasma cells proliferate and differentiate at the germinal center-medulla interface of antigen-draining lymph nodes

The paper tracks GC-derived B cells in lymph nodes to identify PrePC cells and their transition to plasma cells, revealing spatial and transcriptional changes during differentiation.

CardioVinci: building blocks for virtual cardiac cells using deep learning

CardioVinci uses deep learning to automate the analysis of 3D cardiac ultrastructure changes from large EM imaging datasets.

Orphan nuclear receptors promote alternative lengthening of telomeres (ALT) through ALT-associated PML bodies

This study shows that orphan nuclear receptors promote the ALT telomere maintenance mechanism by forming APBs and enabling telomeric DNA synthesis.

EM-net: Deep learning for electron microscopy image segmentation

EM-net is a deep learning model for electron microscopy image segmentation that outperforms existing methods with smaller ground-truth datasets.

EM-stellar: benchmarking deep learning for electron microscopy image segmentation

EM-stellar benchmarks deep learning methods for EM image segmentation, showing performance varies with image properties and no method consistently outperforms others.