Reconstructing and comparing signal transduction networks from single-cell protein quantification data.

ABSTRACT:

Motivation

Signal transduction networks regulate many essential biological processes and are frequently aberrated in diseases such as cancer. A mechanistic understanding of such networks, and how they differ between cell populations, is essential to design effective treatment strategies. Typically, such networks are computationally reconstructed based on systematic perturbation experiments, followed by quantification of signaling protein activity. Recent technological advances now allow for the quantification of the activity of many (signaling) proteins simultaneously in single cells. This makes it feasible to reconstruct or quantify signaling networks without performing systematic perturbations.

Results

Here, we introduce single-cell modular response analysis (scMRA) and si

SUBMITTER: Stohn T 

PROVIDER: S-EPMC12797212 | biostudies-literature | 2026 Jan

REPOSITORIES: biostudies-literature