Philipp Putze

The paper shows bacterial invasion and neutrophil immunosuppression drive adenoma progression in a porcine FAP model using single-cell RNA sequencing and spatial transcriptomics.

This study uses an in ovo model to show that the CAM platform supports tumor-stroma coevolution in pancreatic cancer, preserving patient-specific features and enabling functional analysis of stromal interactions.

Cellpin imputes and denoises spatial transcriptomes using a variational autoencoder trained on single-cell RNA-seq, outperforming existing methods without requiring cross-modality alignment.

Phoenix predicts spatially resolved single-cell gene expression from histology, identifying new biomarkers and validating them across cancers and treatment regimens.

This paper generates cross-species single-cell atlases of pancreatic cancer to study progression, therapy response, and immune evasion across human and mouse models.