Martin Enge

The paper analyzes subclonal gene dosage effects in cancer using DNTR-seq, finding additive and compensatory transcriptional impacts and identifying transient clonality in ovarian and soft tissue sarcomas.

This study shows ALK R1275Q mutation sustains an immature SCP-like cell state during sympathoadrenal commitment, increasing susceptibility to MYCN-driven neuroblastoma initiation.

This study integrates chromatin accessibility and transcriptomics data from ovarian tumor-infiltrating adaptive NK cells to identify key transcription factors and their regulatory networks.

This paper presents a T cell gene correction pipeline using CRISPR/Cas9 and HDR to correct monogenic mutations in IEI models, achieving up to 80% bi-allelic editing with no detectable off-target effects.

The paper analyzes single-cell transcriptome and chromatin accessibility data to uncover transcription factor networks governing pancreatic endocrine cell lineage specification.

This study uses allele-resolved single-cell multi-omics to reveal the dynamics and transcriptional kinetics of X-chromosome upregulation in mouse development.

Smart3-ATAC enables joint analysis of mRNA and chromatin accessibility in single cells with higher yield than existing droplet multiome methods.

DNTR-seq jointly profiles whole genome and mRNA in single cells, enabling subclone detection and gene editing analysis in leukemia samples with high sensitivity and low bias.

The paper develops CIM-seq to profile cell interactions in mouse intestinal tissues, revealing distinct stem cell niche architectures in small intestine and colon.

The paper develops a tool to analyze spatial gene expression correlations in tissue sections, applied to human fetal pancreas development.

This study uses single-cell RNA-seq to analyze human pancreatic cells across age, identifying transcriptional instability and age-related mutational signatures linked to oxidative stress.