Peter Johannes Wild

Lipocalin-2-expressing red pulp macrophages link ischemic stroke to systemic immune reprogramming in mice and humans

Splenic Lcn2 is induced biphasically after mouse stroke and localizes to red pulp macrophages; recombinant LCN2 induces T cell and monocyte hyporesponsiveness and monocyte phagocytosis-ROS uncoupling, with human spleen support.

Single-cell integration and multi-modal profiling reveals phenotypes and spatial organization of neutrophils in colorectal cancer

The paper integrates single-cell data from CRC patients to identify immune subtypes and neutrophil phenotypes, revealing their spatial organization and tumor-induced changes.

ProxiCapture Reveals Context-Dependent CRBN Interactome Landscape of Molecular Glue Degraders

ProxiCapture identifies context-dependent CRBN interactors of molecular glues across diverse cell types and tissues, revealing a comprehensive atlas of pomalidomide targets.

Exosomal cargo genes as biomarkers and potential mediators of exosome-driven cell communication in Pleural Mesothelioma

The paper characterizes exosomal RNA cargo in pleural mesothelioma, identifies potential biomarkers, and explores their role in cell communication and prognosis.

Convergent network effects along the axis of gene expression during prostate cancer progression

The paper investigates how genomic alterations affect molecular networks in prostate cancer by integrating genomic, transcriptomic, and proteomic data from 105 samples, identifying a sub-network predictive of tumor aggressiveness and recurrence.

Rapid proteotyping reveals cancer biology and drug response determinants in the NCI-60 cells

This study rapidly generates proteomic data for NCI-60 cancer cell lines and identifies drug response determinants by integrating proteomic, genetic, and transcriptomic data.

Automated Gleason grading of prostate cancer tissue microarrays via deep learning

This study develops a deep learning model to automate Gleason grading of prostate cancer tissue microarrays, achieving agreement with pathologists and expert-level patient stratification.

Multi-region proteome analysis quantifies spatial heterogeneity of prostate tissue biomarkers

This study quantifies spatial proteome heterogeneity in prostate tissues using multi-region analysis and identifies biomarker variability across benign and malignant tissues.