Evidence map›Paper›PMID 34428120›Full record

ArticleGut microbes

Imaging the in vivo growth patterns of bacteria in human gut Microbiota.

Liyuan Lin, Jia Song, Jian Li, Xiaolei Zuo, Hong Wei, Chaoyong Yang, Wei Wang

Open access · goldAbstract read
In one paragraph

Article in Gut microbes. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.2field-weighted citation impact, top 21% 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

10 citing papers in PubMed, 24 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Human microbiota-associated animal models: a review.Frontiers in cellular and infection microbiology · 2025
    Review
  6. Article
  7. Review
  8. Article
  9. Article
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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 3 institutions in 1 country.

Liyuan LinInstitute of Molecular Medicine, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.ORCID 0000-0002-9202-0652
Jia SongInstitute of Molecular Medicine, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Jian LiInstitute of Immunology, PLA, Third Military Medical University, Chongqing, China.
Xiaolei ZuoInstitute of Molecular Medicine, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Hong WeiCentral Laboratory, Clinical Medicine Scientific and Technical Innovation Park, Shanghai Tenth People's Hospital, Tongji University, Shanghai, China.
Chaoyong YangInstitute of Molecular Medicine, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.ORCID 0000-0002-2374-5342
Wei WangInstitute of Molecular Medicine, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.ORCID 0000-0002-5539-4532
Shanghai Jiao Tong University · CNArmy Medical University · CNTongji University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

How to study the unculturable bacteria in the laboratory is one of the major challenges in human gut microbiota research. The resulting lack of microbiology knowledge of this "dark matter" greatly hinders further understanding of our gut microbiota. Here, to characterize the

Indexed as

AnimalsBacteriaCecumFluorescent DyesGastrointestinal MicrobiomeGerm-Free LifeHumansIn Situ Hybridization, FluorescenceMiceMice, Inbred BALB COptical ImagingStaining and LabelingFluorescent Dyesbacterial division patternsD-amino acidsFISHfluorescence imagingHuman gut microbiotametabolic labelingMicrobiome AtlaspeptidoglycanSTAMP

Identifiers

PMID34428120
PMCPMC8386752
OpenAlexW3195007563

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.