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A guide to ancient protein studies.

Jessica Hendy1, Frido Welker2,3, Beatrice Demarchi4,5

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Palaeoproteomics, the study of ancient proteins, needs standardized practices for data reporting and validation. This research proposes guidelines to ensure robust and reproducible ancient protein analysis for evolutionary biology and archaeology.

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Area of Science:

  • Integrative scientific disciplines including evolutionary biology, archaeology, and anthropology.
  • Emerging field of palaeoproteomics utilizing mass spectrometry for ancient biomolecule analysis.

Background:

  • Palaeoproteomics applies mass spectrometry to ancient proteomes, intersecting evolutionary biology, archaeology, and anthropology.
  • Applications include phylogenetic reconstruction, human diet analysis, and ancient disease investigation.
  • Lack of established standards for data reporting, validation, and contamination controls hinders the field.

Purpose of the Study:

  • To address the absence of consolidated guidelines for evaluating palaeoproteomics data.
  • To propose a series of precautions and standards for ancient protein research.
  • To support good practices and ensure robust, reproducible results in palaeoproteomics.

Main Methods:

  • Development of a comprehensive set of proposed standards and precautions for ancient protein research.
  • Guidelines cover all analytical stages, from sample selection to data interpretation.
  • Emphasis on detailed reporting of data generation and authentication methods.

Main Results:

  • A framework of proposed standards for palaeoproteomics research is presented.
  • These guidelines aim to facilitate independent evaluation and ensure data integrity.
  • The proposed standards are flexible and intended to evolve with the field.

Conclusions:

  • The proposed standards provide a foundation for establishing palaeoproteomics as a reliable scientific tool.
  • Adherence to these practices will enhance the credibility and reproducibility of ancient protein studies.
  • Continued refinement of best practices is essential as the field advances.