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Engineering an Improved Acellular Nerve Graft via Optimized Chemical Processing

Hudson, Terry W., Liu, Stephen Y., Schmidt, Christine E.·2004·Tissue Engineering

Abstract

The long-term goal of our research is to engineer an acellular nerve graft for clinical nerve repair and for use as a model system with which to study nerve–extracellular matrix interactions during nerve regeneration. To develop this model acellular nerve graft we (1) examined the effects of detergents on peripheral nerve tissue, and (2) used that knowledge to create a nerve graft devoid of cells with a well-preserved extracellular matrix. Using histochemistry and Western analysis, the impact of each detergent on cellular and extracellular tissue components was determined. An optimized protocol was created with the detergents Triton X-200, sulfobetaine-16, and sulfobetaine-10. This study represents the most comprehensive examination to date of the effects of detergents on peripheral nerve tissue morphology and protein composition. Also presented is an improved chemical decellularization protocol that preserves the internal structure of native nerve more than the predominant current protocol.

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Metadata

Authors
Hudson, T. W., Liu, S. Y., & Schmidt, C. E.
Venue
Tissue Engineering
Published
2004-09
Volume
10
Issue
9-10
Pages
1346-1358
ISSN
  • 1076-3279 (ISSN-L)
  • 1557-8690
OpenAlex
W2074529345
Cited by
310
References
0
FWCI
2.12
Type
journal article
Language
en
Open access
closed
Licence
www.liebertpub.com/nv/resources-tools/text-and-data-mining-policy/121/ (tdm)

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CoChat. (2026). Citation check: Engineering an Improved Acellular Nerve Graft via Optimized Chemical Processing. https://app.cochat.ai/papers/10.1089/ten.2004.10.1346
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Hudson, T. W., Liu, S. Y., & Schmidt, C. E. (2004). Engineering an Improved Acellular Nerve Graft via Optimized Chemical Processing. Tissue Engineering. https://doi.org/10.1089/ten.2004.10.1346

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.