Derek H. Janssens

This paper improves CUT&Tag for transcription factors by engineering Tn5 variants, enhancing recovery of TF binding sites in mouse cells and revealing distinct chromatin interaction modes.

The paper introduces CoCUT&Tag, a method to measure co-occupancy of two chromatin features at single-cell resolution, and shows that bivalent chromatin enhances gene activation during hematopoietic differentiation.

The paper integrates 4D Nucleome data to analyze 3D genome structure and function in human cells, revealing chromatin domains, loops, and interactions, and showing how genetic variants affect genome folding.

The paper introduces CUT&TIME, a method to map historical chromatin accessibility in single cells during neurogenesis, revealing early changes in promoter accessibility linked to cell-fate commitment in retinal ganglion cells.

This study identifies INTS12 knockout as a method to enhance HIV latency reversal by overcoming a transcriptional block, improving reactivation in CD4 T cells from HIV-positive individuals.

This study identifies Sema4A as an extrinsic factor that protects myeloid-biased HSCs from inflammatory stress, preserving functional diversity in the hematopoietic stem cell pool.

This study shows KMT2A oncoproteins drive lineage-switching and epigenetic resistance in leukemia by dynamically binding chromatin and persisting as ENL-marked lesions despite therapy.

This study introduces MulTI-Tag, a method to profile multiple chromatin features in single cells, revealing coordinated regulatory patterns and novel histone mark associations.

The paper describes a modified CUT&Tag protocol that profiles both active and repressive regulatory elements in single cells using computational signal deconvolution.

The paper develops an automated CUT&Tag method to profile chromatin occupancy of KMT2A fusion proteins in leukemia samples, revealing epigenomic heterogeneity and therapeutic sensitivity.

This study shows that H3.1 and H3.3 K27M oncohistones affect chromatin landscapes differently in DMG cells, with H3.1K27M leading to loss of H3K27 trimethylation.

The paper introduces an automated CUT&RUN platform to profile chromatin modifications in human cell lines and tumor samples, revealing cell-type specific gene regulatory programs.