Veena Afzal

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 14,000 human craniofacial enhancers across developmental stages and shows 56% are conserved in mice, providing cell type- and stage-specific activity profiles.

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.

The paper quantifies the mouse embryo transcriptome from E10.5 to birth using whole-tissue and single-cell RNA-seq, identifying key gene expression patterns and cell types.

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.

The paper uses single nucleus ATAC-seq to analyze chromatin accessibility in mouse forebrain development, identifying cell-type-specific regulatory sequences and transcriptional regulators.

This study shows that heterozygous Chd8 mutation in mice causes macrocephaly and widespread transcriptional changes in neurodevelopmental networks, similar to human CHD8 mutations.