Site icon Flex Tech

Decoding wound healing: cellular insights and technological advances

Decoding wound healing: cellular insights and technological advances
  • Nussbaum, S. R. et al. An economic evaluation of the impact, cost, and medicare policy implications of chronic nonhealing wounds. Value Health 21, 27–32 (2018).

    Article 
    PubMed 

    Google Scholar 

  • Sen, C. K. Human wound and its burden: updated 2022 compendium of estimates. Adv. Wound Care 12, 657–670 (2023).

    Article 

    Google Scholar 

  • Huang, Z. H. et al. Risk factors for the recurrence of diabetic foot ulcers among diabetic patients: a meta-analysis. Int. Wound J. 16, 1373–1382 (2019).

    Article 
    PubMed 
    PubMed Central 

    Google Scholar 

  • Gurtner, G. C., Werner, S., Barrandon, Y. & Longaker, M. T. Wound repair and regeneration. Nature 453, 314–321 (2008).

    Article 
    PubMed 
    CAS 

    Google Scholar 

  • Rodrigues, M., Kosaric, N., Bonham, C. A. & Gurtner, G. C. Wound healing: a cellular perspective. Physiol. Rev. 99, 665–706 (2019).

    Article 
    PubMed 
    CAS 

    Google Scholar 

  • Barrientos, S., Stojadinovic, O., Golinko, M. S., Brem, H. & Tomic-Canic, M. PERSPECTIVE ARTICLE: growth factors and cytokines in wound healing. Wound Repair Regen. 16, 585–601 (2008).

    Article 
    PubMed 

    Google Scholar 

  • Singer, A. J. & Clark, R. A. F. Cutaneous wound healing. N. Engl. J. Med. 341, 738–746 (1999).

    Article 
    PubMed 
    CAS 

    Google Scholar 

  • Wilgus, T. A., Roy, S. & McDaniel, J. C. Neutrophils and wound repair: positive actions and negative reactions. Adv. Wound Care 2, 379–388 (2013).

    Article 

    Google Scholar 

  • Chen, K. et al. Disrupting biological sensors of force promotes tissue regeneration in large organisms. Nat. Commun. 12, 5256 (2021).

    Article 
    PubMed 
    PubMed Central 
    CAS 

    Google Scholar 

  • Lv, X., He, Z., Yang, M., Wang, L. & Fu, S. Analysis of subsets and localization of macrophages in skin lesions and peripheral blood of patients with keloids. Heliyon 10, e24034 (2024).

    Article 
    PubMed 
    PubMed Central 
    CAS 

    Google Scholar 

  • Adams, S., Wuescher, L. M., Worth, R. & Yildirim-Ayan, E. Mechano-immunomodulation: mechanoresponsive changes in macrophage activity and polarization. Ann. Biomed. Eng. 47, 2213–2231 (2019).

    Article 
    PubMed 
    PubMed Central 

    Google Scholar 

  • Katayama, Y., Hidalgo, A., Chang, J., Peired, A. & Frenette, P. S. CD44 is a physiological E-selectin ligand on neutrophils. J. Exp. Med. 201, 1183–1189 (2005).

    Article 
    PubMed 
    PubMed Central 
    CAS 

    Google Scholar 

  • Chen, J. et al. CREB1-driven CXCR4(hi) neutrophils promote skin inflammation in mouse models and human patients. Nat. Commun. 14, 5894 (2023).

    Article 
    PubMed 
    PubMed Central 
    CAS 

    Google Scholar 

  • Yang, P., Li, Y., Xie, Y. & Liu, Y. Different faces for different places: heterogeneity of neutrophil phenotype and function. J. Immunol. Res. 2019, 8016254 (2019).

    Article 
    PubMed 
    PubMed Central 

    Google Scholar 

  • Chen, X., Nadiarynkh, O., Plotnikov, S. & Campagnola, P. J. Second harmonic generation microscopy for quantitative analysis of collagen fibrillar structure. Nat. Protoc. 7, 654–669 (2012).

    Article 
    PubMed 
    PubMed Central 
    CAS 

    Google Scholar 

  • Campagnola, P. J. & Loew, L. M. Second-harmonic imaging microscopy for visualizing biomolecular arrays in cells, tissues and organisms. Nat. Biotechnol. 21, 1356–1360 (2003).

    Article 
    PubMed 
    CAS 

    Google Scholar 

  • Al-Kelani, M. & Buthelezi, N. Advancements in medical research: Exploring Fourier Transform Infrared (FTIR) spectroscopy for tissue, cell, and hair sample analysis. Skin Res. Technol. (2024).

  • Becker, L. et al. Raman microspectroscopy identifies fibrotic tissues in collagen-related disorders via deconvoluted collagen type I spectra. Acta Biomater. 162, 278–291 (2023).

    Article 
    PubMed 
    CAS 

    Google Scholar 

  • Barreto, I. S. et al. Nanoscale characterization of collagen structural responses to in situ loading in rat Achilles tendons. Matrix Biol. 115, 32–47 (2023).

    Article 

    Google Scholar 

  • Chen, W. et al. Analysis of differentially expressed genes in keloids and normal skin with cDNA microarray. J. Surg. Res. 113, 208–216 (2003).

    Article 
    PubMed 
    CAS 

    Google Scholar 

  • Smith, J. C., Boone, B. E., Opalenik, S. R., Williams, S. M. & Russell, S. B. Gene profiling of keloid fibroblasts shows altered expression in multiple fibrosis-associated pathways. J. Invest. Dermatol. 128, 1298–1310 (2008).

    Article 
    PubMed 
    CAS 

    Google Scholar 

  • Dayem, M. A. et al. Early gene expression in wounded human keratinocytes revealed by DNA microarray analysis. Comp. Funct. Genomics 4, 47–55 (2003).

    Article 
    PubMed 
    PubMed Central 
    CAS 

    Google Scholar 

  • Wang, X., He, Y., Zhang, Q., Ren, X. & Zhang, Z. Direct comparative analyses of 10X genomics chromium and Smart-Seq2. Genom. Proteom. Bioinforma. 19, 253–266 (2021).

    Article 

    Google Scholar 

  • He, J., Lin, L. & Chen, J. Practical bioinformatics pipelines for single-cell RNA-seq data analysis. Biophys. Rep. 8, 158–169 (2022).

    Article 
    PubMed 
    PubMed Central 

    Google Scholar 

  • Chen, K. et al. Disrupting mechanotransduction decreases fibrosis and contracture in split-thickness skin grafting. Sci. Transl. Med. 14, eabj9152 (2022).

    Article 
    PubMed 
    CAS 

    Google Scholar 

  • Guillaumet-Adkins, A. et al. Single-cell transcriptome conservation in cryopreserved cells and tissues. Genome Biol. (2017).

  • Januszyk, M. et al. Characterization of diabetic and non-diabetic foot ulcers using single-cell RNA-sequencing. Micromachines. (2020).

  • Wong, V. W. et al. Focal adhesion kinase links mechanical force to skin fibrosis via inflammatory signaling. Nat. Med. 18, 148–152 (2011).

    Article 
    PubMed 
    PubMed Central 

    Google Scholar 

  • Goytain, A. & Ng, T. NanoString nCounter technology: high-throughput RNA validation. Methods Mol. Biol. 2079, 125–139 (2020).

    Article 
    PubMed 
    CAS 

    Google Scholar 

  • Basu, P., Kim, J. H., Saeed, S. & Martins-Green, M. Using systems biology approaches to identify signalling pathways activated during chronic wound initiation. Wound Repair Regen. 29, 881–898 (2021).

    Article 
    PubMed 

    Google Scholar 

  • Lim, H. J., Wang, Y., Buzdin, A. & Li, X. A practical guide for choosing an optimal spatial transcriptomics technology from seven major commercially available options. BMC Genomics. (2025).

  • Foster, D. S. et al. Integrated spatial multiomics reveals fibroblast fate during tissue repair. Proc. Natl. Acad. Sci. USA 118, e2110025118 (2021).

    Article 
    PubMed 
    PubMed Central 
    CAS 

    Google Scholar 

  • Theocharidis, G. et al. Single cell transcriptomic landscape of diabetic foot ulcers. Nat. Commun. (2022).

  • Liu, Z. et al. Spatiotemporal single-cell roadmap of human skin wound healing. Cell Stem Cell 32, 479–498.e478 (2025).

    Article 
    PubMed 
    CAS 

    Google Scholar 

  • Nagendran, M. et al. 1457 Visium HD enables spatially resolved, single-cell scale resolution mapping of FFPE human breast cancer tissue. J. Immunother. Cancer 11, A1620–A1620 (2023).

    Google Scholar 

  • Overmiller, A. M. et al. Reprogramming of epidermal keratinocytes by PITX1 transforms the cutaneous cellular landscape and promotes wound healing. JCI Insight. (2024).

  • Li, S. et al. CellContrast: Reconstructing spatial relationships in single-cell RNA sequencing data via deep contrastive learning. Patterns 5, 101022 (2024).

    Article 
    PubMed 
    PubMed Central 
    CAS 

    Google Scholar 

  • Goltsev, Y. et al. Deep profiling of mouse splenic architecture with CODEX multiplexed imaging. Cell 174, 968–981 (2018).

    Article 
    PubMed 
    PubMed Central 
    CAS 

    Google Scholar 

  • Mascharak, S. et al. Multi-omic analysis reveals divergent molecular events in scarring and regenerative wound healing. Cell Stem Cell 29, 315–327 (2022).

    Article 
    PubMed 
    PubMed Central 
    CAS 

    Google Scholar 

  • McGhee, A., McGhee, E., Famiglietti, J. E. & Sawyer, W. G. In situ 3D spatiotemporal measurement of soluble biomarkers in organoid culture. In Vitro Model. 1, 309–321 (2022).

  • Mascharak, S. et al. Multi-omic analysis reveals divergent molecular events in scarring and regenerative wound healing. Cell Stem Cell 29, 315–327.e316 (2022).

    Article 
    PubMed 
    PubMed Central 
    CAS 

    Google Scholar 

  • Chen, K. et al. Targeting circulating mechanoresponsive monocytes and macrophages to reduce fibrosis. Nat Biomed Eng. (2025).

  • link

    Exit mobile version