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Deep Time Paleoproteomics: Looking Forward
Journal of Proteome Research ( IF 3.8 ) Pub Date : 2021-12-17 , DOI: 10.1021/acs.jproteome.1c00755
Elena R Schroeter 1 , Timothy P Cleland 2 , Mary H Schweitzer 1, 3, 4
Affiliation  

The goal of paleoproteomics is to characterize proteins from specimens that have been subjected to the degrading and obscuring effects of time, thus obtaining biological information about tissues or organisms both unobservable in the present and unobtainable through morphological study. Although the description of sequences from Tyrannosaurus rex and Brachylophosaurus canadensis suggested that proteins may persist over tens of millions of years, the majority of paleoproteomic analyses have focused on historical, archeological, or relatively young paleontological samples that rarely exceed 1 million years in age. However, recent advances in methodology and analyses of diverse tissues types (e.g., fossil eggshell, dental enamel) have begun closing the large window of time that remains unexplored in the fossil history of the Cenozoic. In this perspective, we discuss the history and current state of deep time paleoproteomics (DTPp), here defined as paleoproteomic study of samples ∼1 million years (1 Ma) or more in age. We then discuss the future of DTPp research, including what we see as critical ways the field can expand, advancements in technology that can be utilized, and the types of questions DTPp can address if such a future is realized.

中文翻译:

深时间古蛋白质组学:展望未来

古蛋白质组学的目标是从已经受到时间降解和模糊影响的标本中表征蛋白质,从而获得有关组织或生物体的生物学信息,这些信息在目前无法观察到,也无法通过形态学研究获得。虽然来自霸王龙加拿大短脊龙的序列描述表明蛋白质可能会持续数千万年,但大多数古蛋白质组学分析都集中在历史、考古或相对年轻的古生物学样本上,这些样本的年龄很少超过 100 万年。然而,最近在不同组织类型(例如,化石蛋壳、牙釉质)的方法和分析方面取得的进展已经开始关闭新生代化石历史中仍未探索的大时间窗口。从这个角度来看,我们讨论了深时间古蛋白质组学 (DTPp) 的历史和现状,这里定义为对年龄约 100 万年 (1 Ma) 或更长时间的样本的古蛋白质组学研究。然后我们讨论 DTPp 研究的未来,包括我们认为该领域可以扩展的关键方式、可以利用的技术进步、
更新日期:2022-01-07
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