The DOI matches its Crossref record; 63 of the 63 references it cites were found in a registry or an index.
Recruitment of Progenitor Cells by an Extracellular Matrix Cryptic Peptide in a Mouse Model of Digit Amputation
Open accessAbstract
Biologic scaffolds composed of extracellular matrix (ECM) have been used successfully in preclinical models and humans for constructive remodeling of functional, site-appropriate tissue after injury. The mechanisms underlying ECM-mediated constructive remodeling are not completely understood, but scaffold degradation and site-directed recruitment of both differentiated and progenitor cells are thought to play critical roles. Previous studies have shown that degradation products of ECM scaffolds can recruit a population of progenitor cells both in vitro and in vivo. The present study identified a single cryptic peptide derived from the α subunit of the collagen III molecule that is chemotactic for a well-characterized perivascular stem cell in vitro and causes the site-directed accumulation of progenitor cells in vivo. The oligopeptide was additionally chemotactic for human cortical neural stem cells, rat adipocyte stem cells, C2C12 myoblast cells, and rat Schwann cells in vitro. In an adult murine model of digit amputation, treatment with this peptide after mid-second phalanx amputation resulted in a greater number of Sox2+ and Sca1+,Lin- cells at the site of injury compared to controls. Since progenitor cell activation and recruitment are key prerequisites for epimorphic regeneration in adult mammalian tissues, endogenous site-directed recruitment of such cells has the potential to alter the default wound healing response from scar tissue toward regeneration.
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“Following implantation, these natural ECM scaffolds undergo a degree of degradation, releasing matricryptic peptides and growth factors. This process triggers a shift in macrophage polarization from pro-inflammatory (M1) phenotype to an anti-inflammatory regenerative phenotype (M2 macrophages), promoting angiogenesis and recruiting stem/progenitor cell toward the implanted tissue for constructive”
From Liver tissue engineering using decellularized scaffolds: Current progress, challenges, and opportunities (2024) · cites this paper as [57]
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Metadata
- Authors
- Agrawal, V., Tottey, S., Johnson, S. A., Freund, J. M., Siu, B. F., & Badylak, S. F.
- Affiliations
- University of Pittsburgh (US)
- Corresponding author
- Badylak, Stephen F.
- Venue
- Tissue Engineering Part A
- Publisher
- SAGE Publications
- Published
- 2011-10
- Volume
- 17
- Issue
- 19-20
- Pages
- 2435-2443
- ISSN
- 1937-3341 (ISSN-L)
- 1937-335X
- PMC
- PMC3179613
- OpenAlex
- W2169478984
- Cited by
- 180
- References
- 63
- Citations by year
- 2026: 3 · 2025: 6 · 2024: 9 · 2023: 12 · 2022: 3 · 2021: 12 · 2020: 16 · 2019: 7 · 2018: 16 · 2017: 20 · 2016: 18 · 2015: 17 · 2014: 14 · 2013: 10 · 2012: 13
- FWCI
- 13.11
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Tissue Engineering Part A (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Institutes of Health (W81XWH, W81XWH-08-2-0032)
- National Heart, Lung, and Blood Institute (1F30-HL102990, F30HL102990)
- Topics
- Health Sciences › Medicine › Surgery › Tissue Engineering and Regenerative Medicine
- Health Sciences › Medicine › Surgery › Wound Healing and Treatments
- Physical Sciences › Engineering › Biomedical Engineering › Bone Tissue Engineering Materials
- Keywords
- extracellular matrix, cryptic peptides, type III collagen, progenitor cell recruitment, chemotaxis, digit amputation, epimorphic regeneration, perivascular stem cells, neural stem cells, Schwann cells, myoblasts, scaffold degradation, wound healing, scar tissue, tissue engineering scaffolds
- MeSH terms
- Amputation, Surgical, Animals, Cell Count, Cell Separation, Chemotaxis, Disease Models, Animal, Extracellular Matrix, Forelimb, Humans, Peptides, Stem Cells, Toes, Reproducibility of Results, Sus scrofa, Cell Proliferation, Mice, Rats, SOXB1 Transcription Factors
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