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COL1A2 Barcoding: Bone Species Identification via Shotgun Proteomics.
Taniguchi, Kei; Miyaguchi, Hajime.
Afiliação
  • Taniguchi K; National Research Institute of Police Science, 6-3-1, Kashiwanoha, Kashiwa 277-0882, Chiba, Japan.
  • Miyaguchi H; National Research Institute of Police Science, 6-3-1, Kashiwanoha, Kashiwa 277-0882, Chiba, Japan.
J Proteome Res ; 23(1): 377-385, 2024 01 05.
Article em En | MEDLINE | ID: mdl-38091499
Species identification of fragmentary bones remains a challenging task in archeology and forensics. A species identification method for such fragmentary bones that has recently attracted interest is the use of bone collagen proteins. Here, we describe a method similar to DNA barcoding that reads collagen protein sequences in bone and automatically determines the species by performing sequence database searches. The method is almost identical to conventional shotgun proteomics analysis of bone samples, except that the database used by the SEQUEST search engine consisted only of entries for collagen type 1 alpha 2 (COL1A2) proteins from various vertebrates. Accordingly, the COL1A2 peptides that differ in sequence among species act as species marker peptides. In SEQUEST-based shotgun proteomics, the protein entries that contain more marker peptide sequences are assigned higher scores; therefore, the highest-scoring protein entry will be the COL1A2 entry for the species from which the analyzed bone was derived. We tested our method using bone samples from 30 vertebrate species and found that all species were correctly identified. In conclusion, COL1A2 can be used as a bone protein barcode and can be read through shotgun proteomics, allowing for automatic bone species identification. Data are available via ProteomeXchange with the identifier PXD045402.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Proteínas / Proteômica Limite: Animals Idioma: En Revista: J Proteome Res Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Proteínas / Proteômica Limite: Animals Idioma: En Revista: J Proteome Res Ano de publicação: 2024 Tipo de documento: Article