論文

基本情報

氏名 實吉 玄貴
氏名(カナ) サネヨシ モトタカ
氏名(英語) Saneyoshi Mototaka
所属 生物地球学部 恐竜学科
職名 教授
researchmap研究者コード B000360061
researchmap機関 岡山理科大学

題名

New Application of Histological Staining for Visualization of Endogenous Proteins in Fossil Material

単著・共著の別

共著

著者

Hayato Inaba, Kentaro Chiba, Mototaka Saneyoshi, Takaaki Miyaji, Asako Kawakami, Noriyuki Nagaoka, Yasushi Takechi, Kiyofumi Takabatake, Kirstin S. Brink, Miu Tanaka, Masaki Eda, Yoshitsugu Kobayashi, Hidetsugu Tsujigiwa

概要

Biochemical applications are increasingly utilized in paleontological studies, especially for detecting ancient proteins in fossil samples. Histopathological staining techniques have been applied, but they have yet to specifically target type I collagen, the primary bone matrix protein and the most significant protein of interest in paleoproteomic research. Moreover, these staining methods are often applied to demineralized fossils, which remove the original microstructure of the bone matrix and increase the risk of contamination. To address these limitations, this study aimed to test the effectiveness of special staining methods for detecting collagen using Pleistocene-aged fossil specimens. Trials on demineralized and nondemineralized modern bone samples, as well as nondemineralized fossil samples, demonstrated Van Gieson’s staining method as the most suitable for visualizing collagen distribution in hard tissue matrices. Colorimetric analysis, electrophoresis, and subsequent mass spectrometry of extracts further confirmed the endogenous nature of the collagen in the fossil samples. Future studies may benefit from employing Van Gieson’s staining on nondemineralized bone samples to detect collagen in fossils, advancing our understanding of ancient protein preservation.

発表雑誌等の名称

Journal of Proteome Research

出版者

American Chemical Society (ACS)

開始ページ

終了ページ

発行又は発表の年月

2025/06

査読の有無

有り

招待の有無

無し

記述言語

英語

掲載種別

研究論文(学術雑誌)

ISSN

ID:DOI

10.1021/acs.jproteome.5c00078

ID:NAID(CiNiiのID)

ID:PMID

JGlobalID

arXiv ID

ORCIDのPut Code

DBLP ID