Morton-Hayward Alexandra, Flannery Sarah, Vendrell Iolanda, Fischer Roman
Department of Earth Sciences, University of Oxford, Oxford, United Kingdom.
Target Discovery Institute, Nuffield Department of Medicine, University of Oxford, Oxford, United Kingdom.
PLoS One. 2025 May 28;20(5):e0324246. doi: 10.1371/journal.pone.0324246. eCollection 2025.
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.
古蛋白质组学利用古代蛋白质的持久性、多样性和生物学重要性来探索过去,并回答有关系统发育、环境、饮食和疾病的基本问题。这些见解很大程度上来自于骨骼和牙齿等硬组织,因为现已有成熟的从矿化组织中提取古代蛋白质的方案。然而,对于软组织来说,目前还没有这样的方法,由于破坏性分析的许可通常取决于经过验证的方法,软组织在古蛋白质组学中尚未得到充分研究。考虑到所有人类蛋白质中只有不到十分之一在骨骼中表达,而在内脏中这一比例为四分之三,目前无法获取的生物信息量相当大。我们通过优化的液相色谱-场不对称离子迁移谱-串联质谱工作流程来解决这一遗漏问题,该流程产生了迄今为止描述的最大、最多样化的古蛋白质组。我们使用考古发掘的人类大脑,测试了十种具有不同化学组成的方案,发现尿素裂解能够有效破坏保存下来的膜区域,从而暴露低丰度的细胞内分析物。此外,我们表明离子迁移谱能将独特蛋白质的识别率提高多达40%,并且是一种“清理”污染考古样本的方法。我们的方法将有助于提高从一系列古代组织和沉积环境中回收蛋白质的效率。