Poster Presentation 47th Lorne Genome Conference 2026

Decoding Fibroblast Plasticity in Skin Regeneration and Fibrosis     (133456)

Muhammad Ahmed 1 2 3 , Heather Russell 3 , Iyer Swaminathan 1 2 , Andrew William Stevenson 1 3 , Fiona Wood 1 3 , Nicole Smith 1 2
  1. ARC Training Centre for Next-Gen Technologies in Biomedical Analysis, School of Molecular Sciences, The University of Western Australia, Crawley, WA, Australia., CRAWLEY, WA, Australia
  2. School of Molecular Sciences, University of Western Australia, CRAWLEY, WA, Australia
  3. Burn Injury Research Unit, School of Biomedical Sciences, The University of Western Australia, Crawley, WA, Australia, CRAWLEY, WA, Australia

ABSTRACT
Fibroblast heterogeneity plays a central role in wound healing and fibrosis, yet the mechanisms driving transitions between fibroblast subpopulations remain poorly understood. CD90 (THY1) is a surface marker linked to extracellular matrix remodelling and fibrotic activity. We hypothesize that CD90⁺ and CD90⁻ fibroblast states represent dynamic phenotypes rather than fixed lineages, and that non-canonical DNA structures (G-quadruplexes and i-Motifs) may act as molecular switches regulating these transitions. We employed Fluorescence-Activated Cell Sorting (FACS) to isolate CD90⁺ and CD90⁻ fibroblast subpopulations based on CD90 expression. Initial analysis identified CD90+ (~90%) and CD90- (~10%) populations. To examine population stability and functional dynamics, we cultured and monitored three experimental conditions: sorted CD90⁺, sorted CD90⁻, and unsorted mixed populations. CD90 expression and collagen (COL1) deposition were evaluated over time using dual immunocytochemistry. To capture transcriptional heterogeneity underlying subpopulations, 5’-single-cell RNA sequencing (scTECH-seq) was performed on multiplexed samples labelled with short barcoded oligonucleotides (SBOs). Following demultiplexing using D-score algorithm, data were integrated and clustered using Seurat v5 to define subpopulation-specific gene expression profiles. Time-course analysis revealed dynamic population reversion in sorted cultures. Both sorted CD90+ and CD90- populations progressively shifted towards the original CD90+/CD90- ratio over time, demonstrating inherent plasticity. Unsorted cultures maintained stable ratios, indicating an intrinsic regulatory balance. Dual CD90/collagen staining showed distinct temporal patterns: CD90⁺ cells deposited more collagen, although this relationship shifted dynamically during phenotypic reversion. scRNA-seq analysis revealed differential gene expression between subpopulations. CD90+ clusters exhibited elevated expression of extracellular matrix genes (COL1A1, COL3A1, FN1) and TGF-β responsive pathways, consistent with their collagen-rich, fibrogenic phenotype. The dynamic reversion of CD90+/- populations highlights the inherent plasticity of fibroblast subpopulations. Integrating single-cell transcriptomics with non-canonical DNA structure biology will further elucidate how chromatin architecture may influence fibroblast fate, offering novel molecular targets to modulate fibrosis and improve regenerative outcomes.