Katy Vandereyken

This paper develops a modular click-chemistry strategy to modify CRISPR RNPs without disrupting their formation, enhancing DNA accessibility and enabling genome imaging.

LipoGrid quantifies lipidomic and transcriptomic changes across 143 gene knockouts, revealing gene-lipid relationships and compensatory feedback mechanisms.

SubCellSpace identifies and characterizes subcellular mRNA localization patterns in spatial transcriptomics data using a computational framework.

The paper identifies cis-acting genetic variants affecting enhancer function in Parkinson's Disease using multi-omics data and develops models to predict their regulatory impact.

This paper introduces MIMA, a deep learning framework for multi-omics integration and batch correction, which effectively removes batch effects and preserves biological information across modalities.

This paper benchmarks multimodal single-cell data integration methods to improve kidney reference atlas quality by identifying adaptive states and rare cell types.

The paper uses single-cell RNA sequencing to identify five distinct mast cell subsets in the human colon, revealing layer-specific distribution and functional profiles.

The paper identifies club-like cells in the prostate tumor microenvironment that contribute to androgen deprivation therapy resistance through immune suppression.

This study uses single-cell genome-and-transcriptome sequencing to analyze the impact of chromosome instability on cellular states and development in human preimplantation embryos.