ArticleFrontiers in microbiology2019
Deciphering the Functioning of Microbial Communities: Shedding Light on the Critical Steps in Metaproteomics.
Article in Frontiers in microbiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
7 citing papers in PubMed.
- Article
- Optimizing metaproteomics database construction: lessons from a study of the vaginal microbiome.mSystems · 2023Article
- Metaproteomics insights into fermented fish and vegetable products and associated microbes.Food chemistry. Molecular sciences · 2021Review
- Diel Protein Regulation of Marine Picoplanktonic Communities Assessed by Metaproteomics.Microorganisms · 2021Article
- Anatomical structures, cell types and biomarkers of the Human Reference Atlas.Nature cell biology · 2021Review
- Fish Pathology Research and Diagnosis in Aquaculture of Farmed Fish; a Proteomics Perspective.Animals : an open access journal from MDPI · 2021Review
- Skin Microbiome and its Interplay with the Environment.American journal of clinical dermatology · 2020Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Unraveling the complex structure and functioning of microbial communities is essential to accurately predict the impact of perturbations and/or environmental changes. From all molecular tools available today to resolve the dynamics of microbial communities, metaproteomics stands out, allowing the establishment of phenotype-genotype linkages. Despite its rapid development, this technology has faced many technical challenges that still hamper its potential power. How to maximize the number of protein identification, improve quality of protein annotation, and provide reliable ecological interpretation are questions of immediate urgency. In our study, we used a robust metaproteomic workflow combining two protein fractionation approaches (gel-based versus gel-free) and four protein search databases derived from the same metagenome to analyze the same seawater sample. The resulting eight metaproteomes provided different outcomes in terms of (i) total protein numbers, (ii) taxonomic structures, and (iii) protein functions. The characterization and/or representativeness of numerous proteins from ecologically relevant taxa such as
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Registered trials
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