Evidence map›Paper›PMID 41524024›Full record

ArticleNAR genomics and bioinformatics2026

Very high CO

Adrian Sven Geissler, Elena Carrasquer-Alvarez, Jan Gorodkin, Niels-Ulrik Frigaard, Stefan Ernst Seemann

Abstract read
In one paragraph

Article in NAR genomics and bioinformatics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

5 authors.

Adrian Sven GeisslerCenter for non-coding RNA in Technology and Health, Department of Veterinary and Animal Sciences, University of Copenhagen, Frederiksberg 1870, Denmark.
Elena Carrasquer-AlvarezMarine Biology Section, Department of Biology, University of Copenhagen, Helsingør 3000, Denmark.
Jan GorodkinCenter for non-coding RNA in Technology and Health, Department of Veterinary and Animal Sciences, University of Copenhagen, Frederiksberg 1870, Denmark.ORCID https://orcid.org/0000-0001-5823-4000
Niels-Ulrik FrigaardMarine Biology Section, Department of Biology, University of Copenhagen, Helsingør 3000, Denmark.ORCID https://orcid.org/0000-0002-9389-8109
Stefan Ernst SeemannCenter for non-coding RNA in Technology and Health, Department of Veterinary and Animal Sciences, University of Copenhagen, Frederiksberg 1870, Denmark.ORCID https://orcid.org/0000-0002-2359-4927

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

CO[Formula: see text] concentrations above air level (0.04%) are beneficial for the growth of cyanobacteria. However, very high CO[Formula: see text] levels inhibit growth, limiting the usability of cyanobacteria for carbon capture and biotechnological applications. The transcriptomic changes in the cyanobacterium

Indexed as

Carbon DioxidePhotosynthesisStress, PhysiologicalSynechococcusTranscriptomeBacterial ProteinsGene Expression ProfilingGene Expression Regulation, BacterialBacterial ProteinsCarbon Dioxide

Identifiers

PMID41524024
PMCPMC12789804

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.