Vincent Albrecht, Johannes Müller-Reif, Thierry M Nordmann, Andreas Mund, Lisa Schweizer, Philipp E Geyer, Lili Niu, Juanjuan Wang, Frederik Post, Marc Oeller, Andreas Metousis, Annelaura Bach Nielsen, Medini Steger, Nicolai J Wewer Albrechtsen, Matthias Mann
{"title":"缩小蛋白质组学技术与临床应用之间的差距:第 68 届 Benzon 基金会研讨会花絮。","authors":"Vincent Albrecht, Johannes Müller-Reif, Thierry M Nordmann, Andreas Mund, Lisa Schweizer, Philipp E Geyer, Lili Niu, Juanjuan Wang, Frederik Post, Marc Oeller, Andreas Metousis, Annelaura Bach Nielsen, Medini Steger, Nicolai J Wewer Albrechtsen, Matthias Mann","doi":"10.1016/j.mcpro.2024.100877","DOIUrl":null,"url":null,"abstract":"<p><p>The 68th Benzon Foundation Symposium brought together leading experts to explore the integration of mass spectrometry (MS)-based proteomics and artificial intelligence in revolutionizing personalized medicine. This report highlights key discussions on recent technological advances in MS-based proteomics, including improvements in sensitivity, throughput, and data analysis. Particular emphasis was placed on plasma proteomics and its potential for biomarker discovery across various diseases. The symposium addressed critical challenges in translating proteomic discoveries to clinical practice, including standardization, regulatory considerations and the need for robust 'business cases' to motivate adoption. Promising applications were presented in areas such as cancer diagnostics, neurodegenerative diseases, and cardiovascular health. The integration of proteomics with other omics technologies and imaging methods was explored, showcasing the power of multi-modal approaches in understanding complex biological systems. Artificial intelligence emerged as a crucial tool for the acquisition of large-scale proteomic datasets, extracting meaningful insights, and enhancing clinical decision-making. By fostering dialogue between academic researchers, industry leaders in proteomics technology, and clinicians, the symposium illuminated potential pathways for proteomics to transform personalized medicine, advancing the cause of more precise diagnostics and targeted therapies.</p>","PeriodicalId":18712,"journal":{"name":"Molecular & Cellular Proteomics","volume":" ","pages":"100877"},"PeriodicalIF":6.1000,"publicationDate":"2024-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Bridging the Gap from Proteomics Technology to Clinical Application: Highlights from the 68<sup>th</sup> Benzon Foundation Symposium.\",\"authors\":\"Vincent Albrecht, Johannes Müller-Reif, Thierry M Nordmann, Andreas Mund, Lisa Schweizer, Philipp E Geyer, Lili Niu, Juanjuan Wang, Frederik Post, Marc Oeller, Andreas Metousis, Annelaura Bach Nielsen, Medini Steger, Nicolai J Wewer Albrechtsen, Matthias Mann\",\"doi\":\"10.1016/j.mcpro.2024.100877\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>The 68th Benzon Foundation Symposium brought together leading experts to explore the integration of mass spectrometry (MS)-based proteomics and artificial intelligence in revolutionizing personalized medicine. 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Bridging the Gap from Proteomics Technology to Clinical Application: Highlights from the 68th Benzon Foundation Symposium.
The 68th Benzon Foundation Symposium brought together leading experts to explore the integration of mass spectrometry (MS)-based proteomics and artificial intelligence in revolutionizing personalized medicine. This report highlights key discussions on recent technological advances in MS-based proteomics, including improvements in sensitivity, throughput, and data analysis. Particular emphasis was placed on plasma proteomics and its potential for biomarker discovery across various diseases. The symposium addressed critical challenges in translating proteomic discoveries to clinical practice, including standardization, regulatory considerations and the need for robust 'business cases' to motivate adoption. Promising applications were presented in areas such as cancer diagnostics, neurodegenerative diseases, and cardiovascular health. The integration of proteomics with other omics technologies and imaging methods was explored, showcasing the power of multi-modal approaches in understanding complex biological systems. Artificial intelligence emerged as a crucial tool for the acquisition of large-scale proteomic datasets, extracting meaningful insights, and enhancing clinical decision-making. By fostering dialogue between academic researchers, industry leaders in proteomics technology, and clinicians, the symposium illuminated potential pathways for proteomics to transform personalized medicine, advancing the cause of more precise diagnostics and targeted therapies.
期刊介绍:
The mission of MCP is to foster the development and applications of proteomics in both basic and translational research. MCP will publish manuscripts that report significant new biological or clinical discoveries underpinned by proteomic observations across all kingdoms of life. Manuscripts must define the biological roles played by the proteins investigated or their mechanisms of action.
The journal also emphasizes articles that describe innovative new computational methods and technological advancements that will enable future discoveries. Manuscripts describing such approaches do not have to include a solution to a biological problem, but must demonstrate that the technology works as described, is reproducible and is appropriate to uncover yet unknown protein/proteome function or properties using relevant model systems or publicly available data.
Scope:
-Fundamental studies in biology, including integrative "omics" studies, that provide mechanistic insights
-Novel experimental and computational technologies
-Proteogenomic data integration and analysis that enable greater understanding of physiology and disease processes
-Pathway and network analyses of signaling that focus on the roles of post-translational modifications
-Studies of proteome dynamics and quality controls, and their roles in disease
-Studies of evolutionary processes effecting proteome dynamics, quality and regulation
-Chemical proteomics, including mechanisms of drug action
-Proteomics of the immune system and antigen presentation/recognition
-Microbiome proteomics, host-microbe and host-pathogen interactions, and their roles in health and disease
-Clinical and translational studies of human diseases
-Metabolomics to understand functional connections between genes, proteins and phenotypes