Martin Meier‐Schellersheim

The paper develops a rule-based model of TLR4 signaling in mouse macrophages, identifies a missing negative feedback checkpoint involving TANK and IKKε, and validates its role in restraining inflammation.

CountASAP converts ASAPseq FASTQ data into count matrices for downstream analysis.

This study compares the early single-cell transcriptional responses to live attenuated and inactivated Yellow Fever vaccines in mice, identifying distinct kinetic patterns and differential gene expression.

The paper shows macrophages use TLR4 memory and IL-10 susceptibility gating to adjust inflammation based on pathogen dynamics.

The paper compares different computational methods for simulating cellular biochemistry and identifies discrepancies in results, emphasizing the need for critical evaluation of models.