Systematic Comparison of Bone Proteome Extraction Methods to Allow for Integrated Proteomics–Metabolomics Correlation

Bone tissue poses significant challenges for proteomic analysis due to its dense, mineral-rich matrix and predominance of collagen, overshadowing low-abundance proteins critical for understanding bone physiology during LC-MS/MS-based proteomic analysis. In this study, we present a rapid sequential two-step extraction protocol designed to enhance proteome coverage, reduce collagen interference without using collagenase, and ensure robust quantification while enabling simultaneous metabolome analysis. We systematically compared it with two previously reported methods, which attempt to reduce collagen content through enzymatic collagen digestion or by employing four sequential extractions. Performance was evaluated based on reproducible protein quantification, variance, collagen content, processing, and instrument time. Our protocol reproducibly quantified 4,518 proteins across a dynamic range of 4 orders of magnitude. It demonstrated only marginally inferior quantification performance compared to the four-step protocol while reducing extraction and measurement time by half. Further, it significantly outperformed the collagenase-based method, which quantified only 2,689 proteins. Incorporating a chloroform-methanol metabolite extraction only led to a minimal reduction in quantifiable proteins, making the protocol suitable for multiomics applications. In conclusion, this protocol facilitates comprehensive coverage of proteins after metabolite extraction, enabling comprehensive multiomics analyses and aiding in the assessment of bone diseases and therapeutic developments.

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Publication Details

Journal
Journal of Proteome Research
Published
2025-08-12
DOI
https://doi.org/10.1021/acs.jproteome.4c01060
Citations
1
Primary Topic
Advanced Proteomics Techniques and Applications
Type
article
Field-Weighted Citation Impact
0.76

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article

Systematic Comparison of Bone Proteome Extraction Methods to Allow for Integrated Proteomics–Metabolomics Correlation

Klaudia Adamowicz, Johannes R. Schmidt, Stefan Kalkhof, Jörg Lehmann et al.
1 citations
Journal of Proteome Research
Advanced Proteomics Techniques and Applications
0.76
article

Systematic Comparison of Bone Proteome Extraction Methods to Allow for Integrated Proteomics–Metabolomics Correlation

Klaudia Adamowicz, Johannes R. Schmidt, Stefan Kalkhof, Jörg Lehmann, Theresa Lauterbach, Tanja Laske, Jan Baumbach, Vivien Wiltzsch
article en
1 citations

Abstract

Bone tissue poses significant challenges for proteomic analysis due to its dense, mineral-rich matrix and predominance of collagen, overshadowing low-abundance proteins critical for understanding bone physiology during LC-MS/MS-based proteomic analysis. In this study, we present a rapid sequential two-step extraction protocol designed to enhance proteome coverage, reduce collagen interference without using collagenase, and ensure robust quantification while enabling simultaneous metabolome analysis. We systematically compared it with two previously reported methods, which attempt to reduce collagen content through enzymatic collagen digestion or by employing four sequential extractions. Performance was evaluated based on reproducible protein quantification, variance, collagen content, processing, and instrument time. Our protocol reproducibly quantified 4,518 proteins across a dynamic range of 4 orders of magnitude. It demonstrated only marginally inferior quantification performance compared to the four-step protocol while reducing extraction and measurement time by half. Further, it significantly outperformed the collagenase-based method, which quantified only 2,689 proteins. Incorporating a chloroform-methanol metabolite extraction only led to a minimal reduction in quantifiable proteins, making the protocol suitable for multiomics applications. In conclusion, this protocol facilitates comprehensive coverage of proteins after metabolite extraction, enabling comprehensive multiomics analyses and aiding in the assessment of bone diseases and therapeutic developments.

Journal of Proteome ResearchVol. 24(9)
Leibniz Institute of Virology (LIV) (DE), Coburg University of Applied Sciences (DE), Universität Hamburg (DE), University of Southern Denmark (DK), BioClinica (United States) (US), Global Viral (US), Bioanalytica (Switzerland) (CH), Fraunhofer Institute for Translational Medicine and Pharmacology (DE), Hamburg Institut (Germany) (DE), Fraunhofer Institute for Cell Therapy and Immunology (DE), Institute of Virology of the Slovak Academy of Sciences (SK), Hamburg University of Technology (DE)
Bundesministerium für Bildung und Forschung
Openalex Percentile: Top 27%
Advanced Proteomics Techniques and Applications
0.76
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