Evidence map›Paper›PMID 42420277›Full record

ArticleNature communications2026

Systems-level analysis predicts no autotrophy-linked protein-RNA interactions in Clostridium autoethanogenum.

Angela Re, Gianfranco Michele Maria Politano, Kristina Reinmets, Alfredo Benso, Laurence Girbal, Muriel Cocaign-Bousquet, Kaspar Valgepea

Abstract read
In one paragraph

Article in Nature communications, 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

7 authors.

Angela ReDepartment of Applied Science and Technology, Politecnico di Torino, Torino, Italy. angela.re@polito.it.ORCID http://orcid.org/0000-0002-3179-6967
Gianfranco Michele Maria PolitanoDepartment of Control and Computer Engineering, Politecnico di Torino, Torino, Italy.ORCID http://orcid.org/0000-0001-5268-9899
Kristina ReinmetsInstitute of Bioengineering, University of Tartu, Tartu, Estonia.ORCID http://orcid.org/0000-0003-1209-1096
Alfredo BensoDepartment of Control and Computer Engineering, Politecnico di Torino, Torino, Italy.ORCID http://orcid.org/0000-0003-3433-7739
Laurence GirbalTBI, CNRS, INRAE, INSA, Université de Toulouse, Toulouse, France.
Muriel Cocaign-BousquetTBI, CNRS, INRAE, INSA, Université de Toulouse, Toulouse, France.ORCID http://orcid.org/0000-0003-2033-9901
Kaspar ValgepeaInstitute of Bioengineering, University of Tartu, Tartu, Estonia. kaspar.valgepea@ut.ee.ORCID http://orcid.org/0000-0003-4803-7569

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Burning fossil fuels drives climate change with detrimental consequences on humankind while waste accumulation from increasing consumption threatens biosustainability globally. Gas fermentation enables to recycle carbon oxides (CO and CO

Indexed as

Bacterial ProteinsClostridiumRNA, BacterialRNA-Binding ProteinsFermentationGene Expression Regulation, BacterialHeterotrophic ProcessesTranscription, GeneticBacterial ProteinsRNA, BacterialRNA-Binding Proteins

Identifiers

PMID42420277
PMCPMC13478517

What Socratic holds

Textmetadata
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 Socratic graph.