Extracellular matrix gene expression signatures as cell type and cell state identifiers

Area of Science:

• Developmental Biology
• Genomics
• Extracellular Matrix Biology

Background:

• Cell type classification relies on transcriptomic signatures.
• The utility of specific gene functional groups, like the core matrisome, for cell type delineation is underexplored.

Purpose of the Study:

• To assess the core matrisome's capability in distinguishing cell types within embryonic single-cell RNA sequencing data.
• To compare the predictive power of core matrisome genes against random gene subsets and transcription factors.

Main Methods:

• Analysis of embryonic single-cell RNA sequencing (scRNA-seq) datasets.
• Evaluation of core matrisome gene expression for cell type clustering.
• Comparative analysis with random gene sets and transcription factor signatures.
• Cross-species analysis to assess evolutionary conservation.

Main Results:

• Core matrisome genes, despite representing <2% of the transcriptome, successfully recapitulate cell type-specific clustering.
• Core matrisome gene expression outperforms random gene subsets and matches/exceeds transcription factor predictive power.
• Matrisome signature's predictive power increases with cell differentiation and is conserved across species.

Conclusions:

• The core matrisome provides a robust signature for cell type identification in embryonic development.
• Each cell type generates a unique, progressively refined extracellular matrix signature (matreotype).
• Matreotype signatures are evolutionarily conserved, highlighting their fundamental role in cell identity.