Nature CommunicationsGenomicsPeer-reviewed journal article
Single Cell Transcriptomic Landscape of Diabetic Foot Ulcers
Georgios TheocharidisiD, Beena E. ThomasiD, Debasree SarkariD, Hope MummeiD, William PilcheriD, Bhakti DwivediiD, Teresa Sandoval-SchaeferiD, Ruxandra F. SîrbulescuiD, Antonios Kafanas, Ikram MezghaniiD, Peng WangiD, Antonio LobaoiD, Ioannis S. VlachosiD, Biraja C. DashiD, Henry C. HsiaiD, Valerie HorsleyiD, Swati Sharma BhasiniD, Aristidis VevesiD, Manoj BhasiniD
Abstract
To understand the diabetic wound healing microenvironment, we profiled 174,962 single cells from foot, forearm, and PBMCs using single-cell RNA sequencing (scRNASeq) approach. Our analysis shows enrichment of a unique population of fibroblasts overexpressing MMP1, MMP3, MMP11, HIF1A, CHI3L1, and TNFAIP6 genes and M1 macrophage polarization in the DFU patients with healing wounds. Further, scRNASeq of spatially separated samples from same patient and spatial transcriptomics (ST) revealed preferential localization of these healing associated fibroblasts toward deep wound/ulcer bed as compared to wound edge or non-wounded skin. ST also validated our findings of higher enrichment of M1 macrophages in healers and M2 macrophages in non-healers. Our analysis provides deep insights into the wound healing microenvironment, identifying cell types that could be critical in promoting DFU healing, and may inform novel therapeutic approaches for DFU treatment.
- organism: human
- assay: scRNA-seq
- assay: spatial transcriptomics
- research focus: cell type annotation
- research focus: differential expression
- research focus: spatial domain detection
- approach: statistical model
- approach: experimental assay
- Citations
- 473
- FWCI
- 36.34
- Field percentile
- top 1%
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Transcriptional heterogeneity in diabetic foot wounds
T. Sandoval-Schaefer, Q. Phan, … V. Horsley·bioRxiv·Feb 16, 2023
- Single-cell RNA-seq reveals conserved and divergent cellular states across wound types and species
Dahim Choi, Mojtaba Bakhtiari, … Manoj Bhasin·bioRxiv·Jul 11, 2026
- Deep skin fibroblast-mediated macrophage recruitment supports acute wound healing
Veronica M. Amuso, MaryEllen R. Haas, … Brett A. Shook·Journal of Investigative DermatologyPeer-reviewed·Nov 22, 2024
- Multi-omics identification of activated T cells and spatial PD-1/PD-L1 signaling as biomarkers of diabetic foot ulcer healing
Sophie M. Bilik, Caroline Dodson, … Rivka C. Stone·bioRxiv·Nov 10, 2025
- Spatiotemporal Single-Cell Roadmap of Human Skin Wound Healing
Z. Liu, Xiaowei Bian, … Ning Xu Landén·Journal of Investigative DermatologyPeer-reviewed·Nov 20, 2024
- Multi-omics analysis of type II diabetic wound healing reveals CD44-mediated immune cell crosstalk dysfunction in mice and humans
Mateusz S. Wietecha, Jingbo Pang, … Timothy Jon Koh·bioRxiv·Apr 29, 2026