Christian F. Krebs

SCALE identifies multi-scale functional domains in spatial transcriptomics data using neural graph learning and entropy-based search, achieving state-of-the-art performance on simulated and biological datasets.

This study uses spatial transcriptomics to show that immune and renal cell interactions drive glomerular crescent formation in RPGN through PDGF and TGF-β signaling to PECs.

The paper develops an in situ hybridization method to analyze T cell clonality in kidney biopsies and finds spatial clustering of clonally related T cells near antigen-presenting cells.

This study shows that the ISR/eIF2α pathway regulates cytokine mRNA translation in Trm cells, limiting their activity in homeostasis but enabling rapid response during inflammation or autoimmunity.

This paper introduces NichePCA, a PCA-based method for spatial domain identification that performs competitively with ten state-of-the-art methods across six spatial transcriptomic datasets.

This study uses single-cell RNA sequencing to identify a mechanosensitive MRTF-SRF pathway in early diabetic nephropathy, validated in human datasets and ex vivo experiments.

This paper introduces cscGANs for generating realistic single cell RNA-seq data to augment sparse datasets, improving analysis outcomes and reducing experimental costs.