Evidence map›Paper›PMID 32183191›Full record

ArticleMicroorganisms2020

Application of Recombinase-Based In Vivo Expression Technology to

Hiroka Koguchi, Natsumi Ishigami, Mikiyasu Sakanaka, Kako Yoshida, Sayaka Hiratou, Mina Shimada, Satoru Fukiya, Kei Sonoyama, Atsushi Yokota

Abstract read
In one paragraph

Article in Microorganisms, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Development of an improved colonization system for human-derivedBioscience of microbiota, food and health · 2024
    Article
  2. Article
  3. Identification ofMicroorganisms · 2021
    Article
  4. 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

9 authors.

Hiroka KoguchiLaboratory of Microbial Physiology, Research Faculty of Agriculture, Hokkaido University, Sapporo 060-8589, Japan.
Natsumi IshigamiLaboratory of Microbial Physiology, Research Faculty of Agriculture, Hokkaido University, Sapporo 060-8589, Japan.
Mikiyasu SakanakaLaboratory of Microbial Physiology, Research Faculty of Agriculture, Hokkaido University, Sapporo 060-8589, Japan.ORCID 0000-0002-4223-0926
Kako YoshidaLaboratory of Microbial Physiology, Research Faculty of Agriculture, Hokkaido University, Sapporo 060-8589, Japan.
Sayaka HiratouLaboratory of Microbial Physiology, Research Faculty of Agriculture, Hokkaido University, Sapporo 060-8589, Japan.
Mina ShimadaLaboratory of Microbial Physiology, Research Faculty of Agriculture, Hokkaido University, Sapporo 060-8589, Japan.
Satoru FukiyaLaboratory of Microbial Physiology, Research Faculty of Agriculture, Hokkaido University, Sapporo 060-8589, Japan.ORCID 0000-0002-3147-1070
Kei SonoyamaLaboratory of Food Biochemistry, Research Faculty of Agriculture, Hokkaido University, Sapporo 060-8589, Japan.
Atsushi YokotaLaboratory of Microbial Physiology, Research Faculty of Agriculture, Hokkaido University, Sapporo 060-8589, Japan.

Funding

Japan Society for the Promotion of Science 16H04893Japan Society for the Promotion of Science 23780072
6 · The paper itself

Abstract

Bifidobacteria are one of the major components in human gut microbiota and well-known as beneficial microbes. However, clarification of commensal mechanisms of bifidobacteria in the intestines is still ongoing, especially in the presence of the gut microbiota. Here, we applied recombinase-based in vivo expression technology (R-IVET) using the bacteriophage P1 Cre/

Indexed as

bifidobacteriaBifidobacterium longum subsp. longumCre recombinasegut microbiotain vivo gene expressionqRT-PCRR-IVET

Identifiers

PMID32183191
PMCPMC7143038

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.