Title |
Decoding the molecular interplay in the central dogma: An overview of mass spectrometry‐based methods to investigate protein‐metabolite interactions
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Published in |
PROTEOMICS, November 2023
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DOI | 10.1002/pmic.202200533 |
Pubmed ID | |
Authors |
Paolo Stincone, Amira Naimi, Anthony J. Saviola, Raphael Reher, Daniel Petras |
Abstract |
With the emergence of next-generation nucleotide sequencing and mass spectrometry-based proteomics and metabolomics tools, we have comprehensive and scalable methods to analyze the genes, transcripts, proteins, and metabolites of a multitude of biological systems. Despite the fascinating new molecular insights at the genome, transcriptome, proteome and metabolome scale, we are still far from fully understanding cellular organization, cell cycles and biology at the molecular level. Significant advances in sensitivity and depth for both sequencing as well as mass spectrometry-based methods allow the analysis at the single cell and single molecule level. At the same time, new tools are emerging that enable the investigation of molecular interactions throughout the central dogma of molecular biology. In this review, we provide an overview of established and recently developed mass spectrometry-based tools to probe metabolite-protein interactions-from individual interaction pairs to interactions at the proteome-metabolome scale. This article is protected by copyright. All rights reserved. |
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Germany | 4 | 13% |
Mexico | 2 | 6% |
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Norway | 1 | 3% |
Netherlands | 1 | 3% |
Korea, Republic of | 1 | 3% |
France | 1 | 3% |
India | 1 | 3% |
Other | 2 | 6% |
Unknown | 13 | 41% |
Demographic breakdown
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Members of the public | 12 | 38% |
Science communicators (journalists, bloggers, editors) | 1 | 3% |
Mendeley readers
Geographical breakdown
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Unknown | 6 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
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Student > Ph. D. Student | 2 | 33% |
Unspecified | 1 | 17% |
Professor > Associate Professor | 1 | 17% |
Researcher | 1 | 17% |
Student > Master | 1 | 17% |
Other | 0 | 0% |
Readers by discipline | Count | As % |
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Unspecified | 1 | 17% |
Mathematics | 1 | 17% |
Biochemistry, Genetics and Molecular Biology | 1 | 17% |
Agricultural and Biological Sciences | 1 | 17% |
Earth and Planetary Sciences | 1 | 17% |
Other | 0 | 0% |
Unknown | 1 | 17% |