Rapid Identification of Ancient Leather Species Using an Enzyme-Linked Immunosorbent Assay Based on Proteomic and Evolutionary Analyses

The species identification of leather artifacts is of great significance for studying the use and spread of ancient leathers; however, the absence of effective detection methods remains an obstacle. Here, we performed a shotgun proteomic analysis to identify the protein composition of ancient leather artifacts. Based on the Swiss-Prot database, 154 proteins were identified. We investigated these proteins using molecular evolution, structural domain, and sequence alignment analyses to select suitable proteins. Two proteins, Kelch-like family member 17 (KLHL17) and Nance-Horan Syndrome actin remodeling regulator (NHS), were selected for antibody preparation. Their binding affinities were determined by antibody potency and surface plasmon resonance (SPR). Furthermore, we developed and optimized an enzyme-linked immunosorbent assay (ELISA) suitable for the species identification of ancient leather artifacts. Two antibodies specifically identified the species of leather samples from goats and cattle, respectively. We established a new method with the advantages of portability, cost-effectiveness, and high sensitivity that was applied to leather species identification. Our study provides an effective detection tool for archeological leather artifacts utilizing the classical proteomics approach and ELISA technique. In addition, this study provides insights into the development of new protein-based methods for the identification of cultural relics.

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Publication Details

Journal
Journal of Proteome Research
Published
2024-11-25
DOI
https://doi.org/10.1021/acs.jproteome.4c00661
Citations
3
Primary Topic
Cultural Heritage Materials Analysis
Type
article
Field-Weighted Citation Impact
8.77

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article

Rapid Identification of Ancient Leather Species Using an Enzyme-Linked Immunosorbent Assay Based on Proteomic and Evolutionary Analyses

Huabing Wang, Liping Bao, Hailiang Yang, Yanan Wang et al.
3 citations
Journal of Proteome Research
Cultural Heritage Materials Analysis
8.77
article

Rapid Identification of Ancient Leather Species Using an Enzyme-Linked Immunosorbent Assay Based on Proteomic and Evolutionary Analyses

Huabing Wang, Liping Bao, Hailiang Yang, Yanan Wang, Yuxin Huang, Yang Zhou, Zhijiang Wu
article en
3 citations

Abstract

The species identification of leather artifacts is of great significance for studying the use and spread of ancient leathers; however, the absence of effective detection methods remains an obstacle. Here, we performed a shotgun proteomic analysis to identify the protein composition of ancient leather artifacts. Based on the Swiss-Prot database, 154 proteins were identified. We investigated these proteins using molecular evolution, structural domain, and sequence alignment analyses to select suitable proteins. Two proteins, Kelch-like family member 17 (KLHL17) and Nance-Horan Syndrome actin remodeling regulator (NHS), were selected for antibody preparation. Their binding affinities were determined by antibody potency and surface plasmon resonance (SPR). Furthermore, we developed and optimized an enzyme-linked immunosorbent assay (ELISA) suitable for the species identification of ancient leather artifacts. Two antibodies specifically identified the species of leather samples from goats and cattle, respectively. We established a new method with the advantages of portability, cost-effectiveness, and high sensitivity that was applied to leather species identification. Our study provides an effective detection tool for archeological leather artifacts utilizing the classical proteomics approach and ELISA technique. In addition, this study provides insights into the development of new protein-based methods for the identification of cultural relics.

Journal of Proteome ResearchVol. 23(12)
Sichuan University (CN), Henan Provincial Institute of Cultural Heritage and Archaeology (CN), China National Silk Museum (CN), Zhejiang University (CN)
National Key Research and Development Program of China
Life in Land
Openalex Percentile: Top 3%
Cultural Heritage Materials Analysis
8.77
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