Quan T. Pham

The paper develops a population dynamics model of B and TFH cells in germinal centers, showing reciprocal stimulation regulates their ratio and balances affinity maturation speed with B cell diversity.

The paper identifies hidden enhancers in mouse embryos that are not detected by conventional chromatin profiling methods, highlighting a significant gap in enhancer discovery.

The paper identifies widespread epigenomic changes in idiopathic dilated cardiomyopathy, showing a shift toward fetal-like enhancer states and providing a data resource for further study.

This study shows that deleting TAD boundaries in mice often causes molecular or developmental phenotypes, highlighting their importance for genome function.

This paper develops a cross-organism framework for enhancer prediction using Drosophila STARR-seq data and supervised machine learning, validated in mouse and human with 153 enhancers.

The paper systematically maps chromatin state landscapes during mouse development by profiling histone modifications across 72 tissue-stages, identifying dynamic enhancers and transcriptional regulators.