Nature Communications (May 2022)
SPIN enables high throughput species identification of archaeological bone by proteomics
- 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
Affiliations
- Patrick Leopold Rüther
- Novo Nordisk Foundation Center for Protein Research, University of Copenhagen
- Immanuel Mirnes Husic
- Novo Nordisk Foundation Center for Protein Research, University of Copenhagen
- Pernille Bangsgaard
- Globe institute, University of Copenhagen
- Kristian Murphy Gregersen
- Institute of Conservation, Royal Danish Academy
- Pernille Pantmann
- Dept. of Archaeology, Museum Nordsjælland
- Milena Carvalho
- Interdisciplinary Center of Archaeology and Evolution of Human Behavior, University of Algarve
- Ricardo Miguel Godinho
- Interdisciplinary Center of Archaeology and Evolution of Human Behavior, University of Algarve
- Lukas Friedl
- Interdisciplinary Center of Archaeology and Evolution of Human Behavior, University of Algarve
- João Cascalheira
- Interdisciplinary Center of Archaeology and Evolution of Human Behavior, University of Algarve
- Alberto John Taurozzi
- Globe institute, University of Copenhagen
- Marie Louise Schjellerup Jørkov
- The Laboratory of Biological Anthropology, Department of Forensic Medicine, University of Copenhagen
- Michael M. Benedetti
- Interdisciplinary Center of Archaeology and Evolution of Human Behavior, University of Algarve
- Jonathan Haws
- Interdisciplinary Center of Archaeology and Evolution of Human Behavior, University of Algarve
- Nuno Bicho
- Interdisciplinary Center of Archaeology and Evolution of Human Behavior, University of Algarve
- Frido Welker
- Globe institute, University of Copenhagen
- Enrico Cappellini
- Globe institute, University of Copenhagen
- Jesper Velgaard Olsen
- Novo Nordisk Foundation Center for Protein Research, University of Copenhagen
- DOI
- https://doi.org/10.1038/s41467-022-30097-x
- Journal volume & issue
-
Vol. 13,
no. 1
pp. 1 – 14
Abstract
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.
