Evidence map›Paper›PMID 34822403›Full record

ArticleMetabolites2021

Dynamics of the Metabolome of

Damien Le Moigne, Justine Demay, Anita Reinhardt, Cécile Bernard, Sandra Kim Tiam, Benjamin Marie

Abstract read
In one paragraph

Article in Metabolites, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Microbiology spectrum · 2025
    Article
  4. Article
  5. 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

6 authors.

Damien Le MoigneUMR7245 Molécules de Communication et Adaptation des Micro-Organismes (MCAM) MNHN-CNRS, Muséum National d'Histoire Naturelle, CP 39, 12 Rue Buffon, CEDEX 05, F-75231 Paris, France.
Justine DemayUMR7245 Molécules de Communication et Adaptation des Micro-Organismes (MCAM) MNHN-CNRS, Muséum National d'Histoire Naturelle, CP 39, 12 Rue Buffon, CEDEX 05, F-75231 Paris, France.ORCID 0000-0001-8044-8443
Anita ReinhardtThermes de Balaruc-Les-Bains, 1 Rue du Mont Saint-Clair BP 45, 34540 Balaruc-Les-Bains, France.
Cécile BernardUMR7245 Molécules de Communication et Adaptation des Micro-Organismes (MCAM) MNHN-CNRS, Muséum National d'Histoire Naturelle, CP 39, 12 Rue Buffon, CEDEX 05, F-75231 Paris, France.ORCID 0000-0001-7032-3989
Sandra Kim TiamUMR7245 Molécules de Communication et Adaptation des Micro-Organismes (MCAM) MNHN-CNRS, Muséum National d'Histoire Naturelle, CP 39, 12 Rue Buffon, CEDEX 05, F-75231 Paris, France.ORCID 0000-0001-8343-3933
Benjamin MarieUMR7245 Molécules de Communication et Adaptation des Micro-Organismes (MCAM) MNHN-CNRS, Muséum National d'Histoire Naturelle, CP 39, 12 Rue Buffon, CEDEX 05, F-75231 Paris, France.ORCID 0000-0001-9880-5541

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cyanobacteria are microorganisms able to adapt to a wide variety of environmental conditions and abiotic stresses. They produce a large number of metabolites that can participate in the dynamic adaptation of cyanobacteria to a range of different light, temperature, and nutrient conditions. Studying the metabolite profile is one way to understand how the physiological status of cells is related to their adaptive response. In this study, we sought to understand how the diversity and dynamics of the whole metabolome depended on the growth phase and various abiotic factors such as light intensity and temperature. The cyanobacterium,

Indexed as

culture conditionscyanobacteriahigh-resolution mass spectrometrymetabolomicssecondary metabolite induction

Identifiers

PMID34822403
PMCPMC8618397

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.