SPIN enables high throughput species identification of archaeological bone by proteomics
oleh: Patrick Leopold Rüther, Immanuel Mirnes Husic, Pernille Bangsgaard, Kristian Murphy Gregersen, Pernille Pantmann, Milena Carvalho, Ricardo Miguel Godinho, Lukas Friedl, João Cascalheira, Alberto John Taurozzi, Marie Louise Schjellerup Jørkov, Michael M. Benedetti, Jonathan Haws, Nuno Bicho, Frido Welker, Enrico Cappellini, Jesper Velgaard Olsen
| Format: | Article |
|---|---|
| Diterbitkan: | Nature Portfolio 2022-05-01 |
Deskripsi
Available methods to identify species from fragmented archaeological bone and remains suffer a trade-off between cost and resolution. Here, the authors present a workflow that uses automated sample preparation, 10 to 20 times faster data acquisition, and computerized data interpretation to make the technology applicable to large-scale studies.