Maksim V. Plikus

This paper develops a computational model to study how cell size, polarity, and adhesion influence collective migration of epithelial cells in vitro, showing that mixed-size clusters can exhibit straight translation or rotation based on biomechanical interactions.

The paper constructs a scRNA-seq atlas of chronic inflammatory skin diseases by integrating datasets from 27 diseases, identifying shared and disease-specific inflammatory signatures.

This study uses single-cell RNA-sequencing to analyze skin responses to West Nile virus-infected mosquito bites, identifying fibroblasts as key cells restricting viral transmission.

This paper shows that adrenergic signaling coordinates systemic and local stem cell activation after amputation in axolotls, enhancing regeneration.

This study creates a spatial genomics atlas of human skin fibroblasts in health and disease, identifying six major populations and three disease-specific subtypes.

The paper introduces CellChat v2, a tool for analyzing cell-cell communication from single-cell and spatial transcriptomics data, including spatial proximity analysis and expanded ligand-receptor databases.

This paper reports the 3D genome architecture of a 52,000-year-old woolly mammoth using a novel method, revealing conserved epigenetic features across elephantids.

The paper shows that WNT5A and limb development genes are reused in the evolution of flight membranes across mammals.

This paper introduces COMMOT, a method for inferring cell-cell communication in spatial transcriptomics, and demonstrates its effectiveness across multiple datasets and technologies.

CellChat infers communication probabilities between cell groups using a mass-action model and 2,021 curated ligand-receptor interactions (multimeric complexes, cofactors), then compares signaling networks across scRNA-seq datasets.