ArticleMolecular & cellular proteomics : MCP2024
The Landscape and Perspectives of the Human Gut Metaproteomics.
Article in Molecular & cellular proteomics : MCP, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed.
- Article
- Decoding the cancer microbiome: multi-omics, AI, and translational opportunities.Genome biology · 2026Review
- Proteomics in Gastrointestinal Diseases of Companion Animals: Current State and Knowledge Gaps.Animals : an open access journal from MDPI · 2026Review
- Taxonomic-Level Protein Quantification in Metaproteomics Using a Biomass-Constrained Expectation-Maximization Approach.Journal of the American Society for Mass Spectrometry · 2026Article
- Dynamic remodeling of the gut microbiome and host responses after myocardial infarction revealed by longitudinal metaproteomics.Frontiers in microbiology · 2026Article
- From Identification to Insight: Making Full Use of the Diagnostic Potential of MS/MS Proteotyping in Clinical Microbiology Using Efficient Bioinformatics.Journal of proteome research · 2025Review
- Opportunities and Challenges of Multiomics for Discovery and Monitoring of Human Pathogens.Environment & health (Washington, D.C.) · 2025Review
- Metaproteomic Dataset on Semi-Diurnal Variability of the Bacterioplankton Communities During a Spring Phytoplankton Bloom in the North Sea.Proteomics · 2025Article
- Peptide abundance correlations in metaproteomics enhance taxonomic and functional analysis of the human gut microbiome.NPJ biofilms and microbiomes · 2025Article
- Biological Function Assignment across Taxonomic Levels in Mass-Spectrometry-Based Metaproteomics via a Modified Expectation Maximization Algorithm.Journal of proteome research · 2025Article
- Metatranscriptomics Uncover Diurnal Functional Shifts in Bacterial Transgenes with Profound Metabolic Effects.Cell host & microbe · 2025Article
- The microbiologist's guide to metaproteomics.iMeta · 2025Review
- Evaluation of imputation and imputation-free strategies for differential abundance analysis in metaproteomics data.Briefings in bioinformatics · 2025Article
- Activity-based metaproteomics driven discovery and enzymological characterization of potential α-galactosidases in the mouse gut microbiome.Communications chemistry · 2024Article
- NovoLign: metaproteomics by sequence alignment.ISME communications · 2024Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The human gut microbiome is closely associated with human health and diseases. Metaproteomics has emerged as a valuable tool for studying the functionality of the gut microbiome by analyzing the entire proteins present in microbial communities. Recent advancements in liquid chromatography and tandem mass spectrometry (LC-MS/MS) techniques have expanded the detection range of metaproteomics. However, the overall coverage of the proteome in metaproteomics is still limited. While metagenomics studies have revealed substantial microbial diversity and functional potential of the human gut microbiome, few studies have summarized and studied the human gut microbiome landscape revealed with metaproteomics. In this article, we present the current landscape of human gut metaproteomics studies by re-analyzing the identification results from 15 published studies. We quantified the limited proteome coverage in metaproteomics and revealed a high proportion of annotation coverage of metaproteomics-identified proteins. We conducted a preliminary comparison between the metaproteomics view and the metagenomics view of the human gut microbiome, identifying key areas of consistency and divergence. Based on the current landscape of human gut metaproteomics, we discuss the feasibility of using metaproteomics to study functionally unknown proteins and propose a whole workflow peptide-centric analysis. Additionally, we suggest enhancing metaproteomics analysis by refining taxonomic classification and calculating confidence scores, as well as developing tools for analyzing the interaction between taxonomy and function.
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