Evidence map›Paper›PMID 33687714›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2021

Metaproteomics Analysis of Host-Microbiota Interfaces.

Sjoerd van der Post, Liisa Arike

Abstract read
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In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Clinical Proteomics Applied to Food Allergy.Advances in experimental medicine and biology · 2026
    Review
  2. Gut Microbiome Proteomics in Food Allergies.International journal of molecular sciences · 2023
    Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Sjoerd van der PostDepartment of Medical Biochemistry and Cell Biology, University of Gothenburg, Gothenburg, Sweden.
Liisa ArikeDepartment of Medical Biochemistry and Cell Biology, University of Gothenburg, Gothenburg, Sweden. liisa.arike@gu.se.

Funding

The MUC2 Mucus Gel as an Innate Immune Mechanism that Inhibits InflammationU01AI095473 · NIAID · GOTEBORG UNIVERSITY · PI HANSSON, GUNNAR C., JOHANSSON, MALIN E.V. · 2011 to 2020
$2.6M
NIAID NIH HHS U01 AI095473
6 · The paper itself

Abstract

Metaproteomics of host-microbiome interfaces comprises the analysis of complex mixtures of bacteria, archaea, fungi, and viruses in combination with its host cells. Microbial niches can be found all over the host including the skin, oral cavity, and the intestine and are considered to be essential for the homeostasis. The complex interactions between the host and diverse commensal microbiota are poorly characterized while of great interest as dysbiosis is associated with the development of various inflammatory and metabolic diseases. The metaproteomics workflows to study these interfaces are currently being established, and many challenges remain. The major challenge is the large diversity in species composition that make up the microbiota, which results in complex samples that require extended mass spectrometry analysis time. In addition, current database search strategies are not developed to the size of the search space required for unbiased microbial protein identification.Here, we describe a workflow for the proteomics analysis of microbial niches with a focus on intestinal mucus layer. We will cover step-by-step the sample collection, sample preparation, liquid chromatography-mass spectrometry, and data analysis.

Indexed as

Gastrointestinal MicrobiomeAnimalsBacteriaBacterial ProteinsChromatography, LiquidFungal ProteinsFungiIntestinesMass SpectrometryMicePeptidesProteomicsWorkflowBacterial ProteinsFungal ProteinsPeptidesIntestineMass spectrometryMetaproteomicsMicrobiotaMucusProteomics

Identifiers

PMID33687714

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.