Subcellular thermal profiling enables the deep functional exploration of the mitochondrial proteome Article Swipe
Pablo Rivera-Mejías
,
Cécile Le Sueur
,
Nils Kurzawa
,
Isabelle Becher
,
Mikhail M. Savitski
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1101/2024.02.27.582308
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1101/2024.02.27.582308
Mitochondria are membrane-bound organelle hubs of cellular metabolism and signaling. The dysregulation of mitochondria is related to the genesis of several highly prevalent diseases, including cancer and cardiovascular disorders, urging the development of novel technologies to systematically study this organelle and its dynamics. Thermal proteome profiling (TPP) allows the unbiased study of the interactions of proteins with drugs, metabolites, and other proteins, providing a unique understanding of the state of the proteome. Here, we develop and introduce an optimized TPP workflow, mito-TPP, for the direct and extensive study of this organelle. We demonstrate that our approach detects both direct mitochondrial small molecule-protein and metabolite-protein interactions, as well as indirect downstream effects. We also show that mito-TPP preserves features from whole-cell systems, such as the coaggregation of interacting proteins. Finally, we explore the mitochondrial proteoform map, detecting more than 180 proteins with multiple proteoform groups. Overall, we demonstrate that mito-TPP is a powerful new tool for the functional study of the mitochondrial proteome.
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Metadata
- Type
- preprint
- Language
- en
- Landing Page
- https://doi.org/10.1101/2024.02.27.582308
- https://www.biorxiv.org/content/biorxiv/early/2024/02/29/2024.02.27.582308.full.pdf
- OA Status
- green
- Cited By
- 1
- References
- 106
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4392352154
All OpenAlex metadata
Raw OpenAlex JSON
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- DOI
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https://doi.org/10.1101/2024.02.27.582308Digital Object Identifier
- Title
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Subcellular thermal profiling enables the deep functional exploration of the mitochondrial proteomeWork title
- Type
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preprintOpenAlex work type
- Language
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enPrimary language
- Publication year
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2024Year of publication
- Publication date
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2024-02-29Full publication date if available
- Authors
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Pablo Rivera-Mejías, Cécile Le Sueur, Nils Kurzawa, Isabelle Becher, Mikhail M. SavitskiList of authors in order
- Landing page
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https://doi.org/10.1101/2024.02.27.582308Publisher landing page
- PDF URL
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https://www.biorxiv.org/content/biorxiv/early/2024/02/29/2024.02.27.582308.full.pdfDirect link to full text PDF
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YesWhether a free full text is available
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greenOpen access status per OpenAlex
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https://www.biorxiv.org/content/biorxiv/early/2024/02/29/2024.02.27.582308.full.pdfDirect OA link when available
- Concepts
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Profiling (computer programming), Proteome, Computational biology, Mitochondrion, Subcellular localization, Biology, Cell biology, Computer science, Bioinformatics, Cytoplasm, Operating systemTop concepts (fields/topics) attached by OpenAlex
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1Total citation count in OpenAlex
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2025: 1Per-year citation counts (last 5 years)
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10Other works algorithmically related by OpenAlex
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