Yaron E. Antebi

The paper shows that EMT in BRCA1 carriers leads to precancerous states through morphological, transcriptomic, and functional changes.

The paper decodes BMP/TGFβ signaling from single-cell transcriptomes by identifying a low-dimensional transcriptional code and training a model to infer ligand concentrations.

The paper investigates how BMP and TGFβ pathways interact asymmetrically, showing that TGFβ inhibits BMP and BMP enhances TGFβ responses, reducing signaling ambiguity.

The paper shows that ligand discrimination can occur at the population level through response heterogeneity in dimeric and heterodimeric receptor systems.

The paper introduces a differential model m6ADyn to predict m6A dynamics by integrating mRNA metabolism and validates its predictions through experimental confirmation.

EasyFlow provides an open-source, user-friendly flow cytometry analysis tool with a GUI, accessible without coding knowledge and supporting both Matlab and Python.

This study shows TGFβ profoundly regulates T-cell size and physiology by modulating gene expression and transcription factor networks, independent of other cytokines.

The paper introduces a method to reconstruct real-time dynamics from single-cell trajectories by estimating cell density, flux, division, and apoptosis rates, validated on mouse thymus data.

The paper develops a mathematical model to show how promiscuous ligand-receptor interactions enable efficient cellular addressing through combinatorial signaling.

The paper investigates how BMP ligands interact combinatorially and context-dependently through receptor expression, revealing equivalence groups and a biochemical model for signaling complex formation.