Manuel Kaulich

This study identifies functional enhancer dependencies in pediatric AML using an integrative approach, revealing H-ME as an RNA-independent regulator of MYB.

This study maps tRNA expression dynamics across human hematopoiesis using sc-STM-seq and identifies tRNAs linked to stemness, differentiation, and cell lineages.

The paper maps variant, enhancer, and gene function in primary human CD4+ T cells by combining Perturb-seq of regulatory elements and genes, identifying CRE-gene pairs and linking variants to disease-related programs.

The paper investigates how centrosome architecture and m6A-dependent regulation influence p53 surveillance after whole-genome doubling, identifying key molecular mechanisms.

This paper constructs a comprehensive annotated dataset of human E3 ligases and uses a hierarchical classification framework to analyze their functional and structural relationships.

This study identifies ferroptosis as a regulator of lymphatic vessel growth and regression, showing its role in development and injury response through metabolic and lipid pathway mechanisms.

This study uses barcoding and multiome single-cell data to show a unidirectional differentiation hierarchy in B-ALL with an immature population having high leukemogenic potential.

BaCoN improves gene buffering prediction by enhancing correlation-based networks with CRISPR-Cas9 and transcriptomic data from DepMap cell lines.

ReCo automates the generation of read-count tables for CRISPR gRNAs from NGS data, enabling downstream analysis of gRNA-induced phenotypes.

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.