# Deep palaeoproteomic profiling of archaeological human brains

**Authors:** Alexandra Morton-Hayward, Sarah Flannery, Iolanda Vendrell, Roman Fischer

PMC · DOI: 10.1371/journal.pone.0324246 · PLOS One · 2025-05-28

## TL;DR

This study introduces a new method to analyze ancient proteins in soft tissues like human brains, significantly expanding the biological insights available from archaeological remains.

## Contribution

The paper presents an optimized LC-FAIMS-MS/MS workflow for deep palaeoproteomic profiling of soft tissues, particularly human brains.

## Key findings

- Urea lysis effectively disrupts preserved membrane regions to expose low-abundant intracellular proteins.
- Ion mobility spectrometry improves unique protein identification by up to 40% in archaeological samples.
- The methodology enhances protein recovery from ancient tissues and diverse depositional environments.

## Abstract

Palaeoproteomics leverages the persistence, diversity, and biological import of ancient proteins to explore the past, and answer fundamental questions about phylogeny, environment, diet, and disease. These insights are largely gleaned from hard tissues like bone and teeth, as well-established protocols exist for extracting ancient proteins from mineralised tissues. No such method, however, exists for the soft tissues, which are underexplored in palaeoproteomics given permission for destructive analysis routinely depends on a proven methodology. Considering less than one-tenth of all human proteins are expressed in bone, compared to three-quarters in the internal organs, the amount of biological information presently inaccessible is substantial. We address this omission with an optimised LC-FAIMS-MS/MS workflow yielding the largest, most diverse palaeoproteome yet described. Using archaeological human brains, we test ten protocols with varied chemistries and find that urea lysis effectively disrupts preserved membrane regions to expose low-abundant, intracellular analytes. Further, we show that ion mobility spectrometry improves unique protein identification by as much as 40%, and represents a means of “cleaning” dirty archaeological samples. Our methodology will be useful for improving protein recovery from a range of ancient tissues and depositional environments.

## Linked entities

- **Chemicals:** urea (PubChem CID 1176)
- **Species:** Homo sapiens (taxon 9606)

## Full-text entities

- **Chemicals:** urea (MESH:D014508)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Full text

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## Figures

11 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12118856/full.md

## References

91 references — full list in the complete paper: https://tomesphere.com/paper/PMC12118856/full.md

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Source: https://tomesphere.com/paper/PMC12118856