Evidence map›Paper›PMID 36327159›Full record

ArticleAnalytical chemistry2022

Assessing the Dark Field of Metaproteome.

Haonan Duan, Kai Cheng, Zhibin Ning, Leyuan Li, Janice Mayne, Zhongzhi Sun, Daniel Figeys

Open access · hybridAbstract read
In one paragraph

Article in Analytical chemistry, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.3field-weighted citation impact, top 20% of its field
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

8 citing papers in PubMed, 16 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. The Landscape and Perspectives of the Human Gut Metaproteomics.Molecular & cellular proteomics : MCP · 2024
    Article
  6. Article
  7. Article
  8. MetaPep: A core peptide database for faster human gut metaproteomics database searches.Computational and structural biotechnology journal · 2023
    Article
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

7 authors at 1 institution in 1 country.

Haonan DuanDaniel Figeys - School of Pharmaceutical Sciences, Faculty of Medicine, University of Ottawa, Ottawa, Ontario K1H 8L1, Canada.
Kai ChengDaniel Figeys - School of Pharmaceutical Sciences, Faculty of Medicine, University of Ottawa, Ottawa, Ontario K1H 8L1, Canada.
Zhibin NingDaniel Figeys - School of Pharmaceutical Sciences, Faculty of Medicine, University of Ottawa, Ottawa, Ontario K1H 8L1, Canada.
Leyuan LiDaniel Figeys - School of Pharmaceutical Sciences, Faculty of Medicine, University of Ottawa, Ottawa, Ontario K1H 8L1, Canada.
Janice MayneDaniel Figeys - School of Pharmaceutical Sciences, Faculty of Medicine, University of Ottawa, Ottawa, Ontario K1H 8L1, Canada.
Zhongzhi SunDaniel Figeys - School of Pharmaceutical Sciences, Faculty of Medicine, University of Ottawa, Ottawa, Ontario K1H 8L1, Canada.
Daniel FigeysDaniel Figeys - School of Pharmaceutical Sciences, Faculty of Medicine, University of Ottawa, Ottawa, Ontario K1H 8L1, Canada.ORCID 0000-0002-5373-7546
University of Ottawa · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The human gut microbiome is a complex system composed of hundreds of species, and metaproteomics can be used to explore their expressed functions. However, many lower abundance species are not detected by current metaproteomic techniques and represent the dark field of metaproteomics. We do not know the minimal abundance of a bacterium in a microbiome(depth) that can be detected by shotgun metaproteomics. In this study, we spiked

Indexed as

Gastrointestinal MicrobiomeProteomicsBacteriaEscherichia coliHumansPeptidesPeptides

Identifiers

PMID36327159
PMCPMC9670033
OpenAlexW4308054756

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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.