Inference of a three-gene network underpinning epidermal stem cell development in Caenorhabditis elegans.

ABSTRACT: Gene regulatory networks are crucial in cellular decision-making, making the inference of their architecture essential for understanding organismal development. The gene network of Caenorhabditis elegans epidermal stem cells, known as seam cells, remains undefined. Here, we integrate experimental data, mathematical modeling, and statistical inference to investigate this network, focusing on three core transcription factors (TFs), namely ELT-1, EGL-18, and CEH-16. We use single-molecule FISH to quantify TF mRNA levels in single seam cells of wild-type and mutant backgrounds across four early larval stages. Using Modular Response Analysis, we predict TF interactions and uncover a repressive interaction between CEH-16 and egl-18 consistent across time points. We validate its sig

SUBMITTER: Brozek A 

PROVIDER: S-EPMC11848479 | biostudies-literature | 2025 Feb

REPOSITORIES: biostudies-literature