Increasing sustainability in palaeoproteomics by optimizing digestion times for large-scale archaeological bone analyses

Research output: Contribution to journalJournal articleResearchpeer-review

Standard

Increasing sustainability in palaeoproteomics by optimizing digestion times for large-scale archaeological bone analyses. / Le Meillour, Louise; Sinet-Mathiot, Virginie; Ásmundsdóttir, Ragnheiður Diljá; Hansen, Jakob; Mylopotamitaki, Dorothea; Troché, Gaudry; Xia, Huan; Herrera Bethencourt, Jorsua; Ruebens, Karen; Smith, Geoff M.; Fagernäs, Zandra; Welker, Frido.

In: iScience, Vol. 27, No. 4, 109432, 2024.

Research output: Contribution to journalJournal articleResearchpeer-review

Harvard

Le Meillour, L, Sinet-Mathiot, V, Ásmundsdóttir, RD, Hansen, J, Mylopotamitaki, D, Troché, G, Xia, H, Herrera Bethencourt, J, Ruebens, K, Smith, GM, Fagernäs, Z & Welker, F 2024, 'Increasing sustainability in palaeoproteomics by optimizing digestion times for large-scale archaeological bone analyses', iScience, vol. 27, no. 4, 109432. https://doi.org/10.1016/j.isci.2024.109432

APA

Le Meillour, L., Sinet-Mathiot, V., Ásmundsdóttir, R. D., Hansen, J., Mylopotamitaki, D., Troché, G., Xia, H., Herrera Bethencourt, J., Ruebens, K., Smith, G. M., Fagernäs, Z., & Welker, F. (2024). Increasing sustainability in palaeoproteomics by optimizing digestion times for large-scale archaeological bone analyses. iScience, 27(4), [109432]. https://doi.org/10.1016/j.isci.2024.109432

Vancouver

Le Meillour L, Sinet-Mathiot V, Ásmundsdóttir RD, Hansen J, Mylopotamitaki D, Troché G et al. Increasing sustainability in palaeoproteomics by optimizing digestion times for large-scale archaeological bone analyses. iScience. 2024;27(4). 109432. https://doi.org/10.1016/j.isci.2024.109432

Author

Le Meillour, Louise ; Sinet-Mathiot, Virginie ; Ásmundsdóttir, Ragnheiður Diljá ; Hansen, Jakob ; Mylopotamitaki, Dorothea ; Troché, Gaudry ; Xia, Huan ; Herrera Bethencourt, Jorsua ; Ruebens, Karen ; Smith, Geoff M. ; Fagernäs, Zandra ; Welker, Frido. / Increasing sustainability in palaeoproteomics by optimizing digestion times for large-scale archaeological bone analyses. In: iScience. 2024 ; Vol. 27, No. 4.

Bibtex

@article{1506cca5702f4b54bea48e763ca2c6b7,
title = "Increasing sustainability in palaeoproteomics by optimizing digestion times for large-scale archaeological bone analyses",
abstract = "Palaeoproteomic analysis of skeletal proteomes is used to provide taxonomic identifications for an increasing number of archaeological specimens. The success rate depends on a range of taphonomic factors and differences in the extraction protocols employed. By analyzing 12 archaeological bone specimens from two archaeological sites, we demonstrate that reducing digestion duration from 18 to 3 hours has no measurable impact on the obtained taxonomic identifications. Peptide marker recovery, COL1 sequence coverage, or proteome complexity are also not significantly impacted. Although we observe minor differences in sequence coverage and glutamine deamidation, these are not consistent across our dataset. A 6-fold reduction in digestion time reduces electricity consumption, and therefore CO2 emission intensities. We furthermore demonstrate that working in 96-well plates further reduces electricity consumption by 60%, in comparison to individual microtubes. Reducing digestion time therefore has no impact on the taxonomic identifications, while reducing the environmental impact of palaeoproteomic projects.",
keywords = "Archaeology, Proteomics",
author = "{Le Meillour}, Louise and Virginie Sinet-Mathiot and {\'A}smundsd{\'o}ttir, {Ragnhei{\dh}ur Dilj{\'a}} and Jakob Hansen and Dorothea Mylopotamitaki and Gaudry Troch{\'e} and Huan Xia and {Herrera Bethencourt}, Jorsua and Karen Ruebens and Smith, {Geoff M.} and Zandra Fagern{\"a}s and Frido Welker",
note = "Publisher Copyright: {\textcopyright} 2024 The Author(s)",
year = "2024",
doi = "10.1016/j.isci.2024.109432",
language = "English",
volume = "27",
journal = "iScience",
issn = "2589-0042",
publisher = "Elsevier",
number = "4",

}

RIS

TY - JOUR

T1 - Increasing sustainability in palaeoproteomics by optimizing digestion times for large-scale archaeological bone analyses

AU - Le Meillour, Louise

AU - Sinet-Mathiot, Virginie

AU - Ásmundsdóttir, Ragnheiður Diljá

AU - Hansen, Jakob

AU - Mylopotamitaki, Dorothea

AU - Troché, Gaudry

AU - Xia, Huan

AU - Herrera Bethencourt, Jorsua

AU - Ruebens, Karen

AU - Smith, Geoff M.

AU - Fagernäs, Zandra

AU - Welker, Frido

N1 - Publisher Copyright: © 2024 The Author(s)

PY - 2024

Y1 - 2024

N2 - Palaeoproteomic analysis of skeletal proteomes is used to provide taxonomic identifications for an increasing number of archaeological specimens. The success rate depends on a range of taphonomic factors and differences in the extraction protocols employed. By analyzing 12 archaeological bone specimens from two archaeological sites, we demonstrate that reducing digestion duration from 18 to 3 hours has no measurable impact on the obtained taxonomic identifications. Peptide marker recovery, COL1 sequence coverage, or proteome complexity are also not significantly impacted. Although we observe minor differences in sequence coverage and glutamine deamidation, these are not consistent across our dataset. A 6-fold reduction in digestion time reduces electricity consumption, and therefore CO2 emission intensities. We furthermore demonstrate that working in 96-well plates further reduces electricity consumption by 60%, in comparison to individual microtubes. Reducing digestion time therefore has no impact on the taxonomic identifications, while reducing the environmental impact of palaeoproteomic projects.

AB - Palaeoproteomic analysis of skeletal proteomes is used to provide taxonomic identifications for an increasing number of archaeological specimens. The success rate depends on a range of taphonomic factors and differences in the extraction protocols employed. By analyzing 12 archaeological bone specimens from two archaeological sites, we demonstrate that reducing digestion duration from 18 to 3 hours has no measurable impact on the obtained taxonomic identifications. Peptide marker recovery, COL1 sequence coverage, or proteome complexity are also not significantly impacted. Although we observe minor differences in sequence coverage and glutamine deamidation, these are not consistent across our dataset. A 6-fold reduction in digestion time reduces electricity consumption, and therefore CO2 emission intensities. We furthermore demonstrate that working in 96-well plates further reduces electricity consumption by 60%, in comparison to individual microtubes. Reducing digestion time therefore has no impact on the taxonomic identifications, while reducing the environmental impact of palaeoproteomic projects.

KW - Archaeology

KW - Proteomics

U2 - 10.1016/j.isci.2024.109432

DO - 10.1016/j.isci.2024.109432

M3 - Journal article

AN - SCOPUS:85188552597

VL - 27

JO - iScience

JF - iScience

SN - 2589-0042

IS - 4

M1 - 109432

ER -

ID: 389591887