Quantitative profiling of lifespan-dependent cell-cell communication potential reveals dynamic ligand-receptor network shifts across mouse tissues
Boyong Wei, Evan P. Troendle, David A. Simpson, Alan W. Stitt
TL;DR
This study uses single-cell RNA sequencing to track how cell communication changes in mouse organs across different life stages, revealing dynamic shifts in ligand-receptor interactions.
Contribution
The study introduces a new framework and SE score to quantify dynamic ligand-receptor communication changes across lifespan and tissues.
Findings
Dynamic, organ-specific ligand-receptor interaction patterns were observed across development, adulthood, and ageing.
CD44 and ITGB1 showed highly dynamic changes across timepoints and organs, suggesting key roles in age-dependent communication.
A curated dataset of ligand-receptor pairs and their predicted changes was generated for multiple organs and life stages.
Abstract
Cell-to-cell communication (CCC) is a tightly regulated process essential for tissue development and homeostasis, but can become dysregulated during ageing. While CCC is inherently complex and remains incompletely characterised, advances in single-cell RNA sequencing (scRNA-seq) have enabled large-scale, unbiased inference of intercellular interactions which offers broad-spectrum information that complements traditional protein-based assays. Unlike these targeted assays, transcriptomic approaches enable systematic inference and exploration of both known and potentially novel ligand-receptor (LR) interactions. In this study, we applied LIgand-receptor ANalysis frAmework (LIANA), which integrates multiple inference methods to derive consensus CCC predictions, to scRNA-seq data for four mouse organs (liver, lung, heart, and kidney), spanning key life stages: post-natal development,…
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Taxonomy
TopicsSingle-cell and spatial transcriptomics · Gene Regulatory Network Analysis · Pluripotent Stem Cells Research