Jette Bornholdt

The paper examines how promoter sequence and transcription start site architecture influence expression variability and genetic variant effects in human genes.

The paper identifies widespread transcription initiation at microsatellites across species and develops deep learning models to predict STR-associated transcription and its impact on disease variants.

The paper reassesses the existence of PROMPTs and eRNAs in Arabidopsis thaliana using RNA sequencing in nuclear decay mutants, identifying exosome-sensitive transcripts and antisense RNAs.

This study provides a comprehensive TSS map for fission yeast under various stress and media conditions using CAGE, revealing new insights into gene regulation and promoter diversity.

The paper develops a method to classify human RNAs based on exosome sensitivity and transcription initiation, identifying functional lncRNAs and distinguishing them from unstable transcripts.