Nina Baumgarten

EpiATLAS provides a comprehensive collection of human reference epigenomes to advance epigenomic research and understanding of cellular function and disease.

The paper identifies Parkinson's disease-associated regulatory variants in human dopaminergic neurons and shows they modulate SCARB2 and BAG3 expression.

The paper identifies 1,580 cell type-specific genes and non-coding RNAs associated with coronary artery disease by integrating genetic and epigenetic data from multiple cell types.

The paper identifies the transaminase-omega-amidase pathway as a redox-sensitive metabolic switch in endothelial glutamine metabolism, showing that NIT2 oxidation inhibits its activity and affects angiogenesis.

The paper introduces a statistical method to assess the impact of DNA variations on transcription factor binding, showing improved speed and accuracy over existing approaches.

The paper identifies regulatory SNPs linked to CVDs and shows their impact on non-coding RNA expression and cardiac function in disease models.

This study identifies circPLOD2 as a hypoxia-regulated circRNA that modulates pericyte function by regulating KLF4, affecting proliferation and vascular interactions.

TF-Prioritizer identifies condition-specific transcription factors using multi-modal genomic data and generates an interactive web report.

This study shows that DOT1L regulates specific gene networks in cardiac development and cell cycle withdrawal through H3K79me2 modifications.

This paper introduces a new method to identify gene-specific regulatory elements by integrating epigenomics data and demonstrates its application in prioritizing doxorubicin-resistance genes.

The paper introduces a computational pipeline to interpret CRISPR mutations in non-coding regions using epigenomic data, revealing novel regulatory elements involved in chemoresistance.