Evidence map›Paper›PMID 40887603›Full record

ArticleMicrobial cell factories2025

Optimising CO

Michal Hubáček, Lauri Nikkanen, Yagut Allahverdiyeva

Abstract read
In one paragraph

Article in Microbial cell factories, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Michal HubáčekMolecular Plant Biology Unit, Department of Life Technologies, University of Turku, Turku, Finland.
Lauri NikkanenMolecular Plant Biology Unit, Department of Life Technologies, University of Turku, Turku, Finland.
Yagut AllahverdiyevaMolecular Plant Biology Unit, Department of Life Technologies, University of Turku, Turku, Finland. allahve@utu.fi.

Funding

H2020 Future and Emerging Technologies 899576Novo Nordisk Fonden NNF20OC0064371Research Council of Finland 354876
6 · The paper itself

Abstract

Cyanobacteria are emerging as a promising platform for whole-cell biotransformation, harnessing solar energy to drive biocatalytic reactions through recombinant enzymes. However, optimisation remains challenging due to the complexity of the cyanobacterial metabolism and the regulatory framework in which heterologous enzymes operate. While many enzymes have been deployed for light-driven whole-cell biotransformations, the different experimental conditions used between studies make direct comparison and systematic improvement difficult. We investigated the performance of two Baeyer-Villiger monooxygenases (BVMO) and the ene-reductase YqjM, heterologously expressed in the model cyanobacterium Synechocystis sp. PCC 6803, under varying growth and production conditions. NADPH and O

Indexed as

Carbon DioxideLightSynechocystisBacterial ProteinsBiotransformationMixed Function OxygenasesNADPBacterial ProteinsCarbon DioxideMixed Function OxygenasesNADPBiocatalysisBiotransformationBVMOCyanobacteriaEne-reductaseLactonePhotosynthesis

Identifiers

PMID40887603
PMCPMC12398983

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.