Academic Thesis

Basic information

Name Saneyoshi Mototaka
Belonging department
Occupation name
researchmap researcher code B000360061
researchmap agency Okayama University of Science

Title

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

Bibliography Type

Joint Author

Author

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

Summary

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.

Magazine(name)

Journal of Proteome Research

Publisher

American Chemical Society (ACS)

Volume

Number Of Pages

StartingPage

EndingPage

Date of Issue

2025/06

Referee

Exist

Invited

Not exist

Language

English

Thesis Type

Research papers (academic journals)

ISSN

DOI

10.1021/acs.jproteome.5c00078

NAID

PMID

J-GLOBAL ID

arXiv ID

ORCID Put Code

DBLP ID