Spectral entropy as a measure of the metaproteome complexity
Abstract: The diversity and complexity of the microbiome's genomic landscape are not always mirrored in its proteomic profile. Despite the anticipated proteomic diversity, observed complexities of microbiome samples are often lower than expected. Two main factors contribute to this discrepancy: limitations in mass spectrometry's detection sensitivity and bioinformatics challenges in metaproteomics identification. This study introduces a novel approach to evaluating sample complexity directly at the full mass spectrum (MS1) level rather than relying on peptide identifications. When analyzing under identical mass spectrometry conditions, microbiome samples displayed significantly higher complexity, as evidenced by the spectral entropy and peptide candidate entropy, compared to single‐species samples. The research provides solid evidence for the complexity of microbiome in proteomics indicating the optimization potential of the bioinformatics workflow.
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- Extent
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Online-Ressource
- Language
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Englisch
- Bibliographic citation
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Spectral entropy as a measure of the metaproteome complexity ; day:25 ; month:05 ; year:2024 ; extent:6
Proteomics ; (25.05.2024) (gesamt 6)
- Creator
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Duan, Haonan
Ning, Zhibin
Zhang, Ailing
Figeys, Daniel
- DOI
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10.1002/pmic.202300570
- URN
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urn:nbn:de:101:1-2405251414337.160996174890
- Rights
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
- 14.08.2025, 10:50 AM CEST
Data provider
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Duan, Haonan
- Ning, Zhibin
- Zhang, Ailing
- Figeys, Daniel
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