Evidence map›Paper›PMID 40460129›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2025

High-throughput metabolic engineering of

Wei Jiang, Shengbao Wang, Daniel Ahlheit, Tommaso Fumagalli, Zhijie Yang, Shreemaya Ramanathan, Xinglin Jiang, Tilmann Weber, Jonathan Dahlin, Irina Borodina

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
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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

10 authors.

Wei JiangThe Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, Kgs. Lyngby DK-2800, Denmark.ORCID 0000-0002-8749-2401
Shengbao WangThe Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, Kgs. Lyngby DK-2800, Denmark.ORCID 0009-0003-5183-9295
Daniel AhlheitThe Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, Kgs. Lyngby DK-2800, Denmark.
Tommaso FumagalliThe Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, Kgs. Lyngby DK-2800, Denmark.
Zhijie YangThe Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, Kgs. Lyngby DK-2800, Denmark.
Shreemaya RamanathanThe Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, Kgs. Lyngby DK-2800, Denmark.ORCID 0000-0002-5290-3901
Xinglin JiangThe Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, Kgs. Lyngby DK-2800, Denmark.
Tilmann WeberThe Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, Kgs. Lyngby DK-2800, Denmark.ORCID 0000-0002-8260-5120
Jonathan DahlinThe Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, Kgs. Lyngby DK-2800, Denmark.
Irina BorodinaThe Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, Kgs. Lyngby DK-2800, Denmark.ORCID 0000-0002-8452-1393

Funding

EC | H2020 | PRIORITY 'Excellent science' | H2020 European Research Council (ERC) No. 101123257Novo Nordisk Fonden (NNF) NNF20CC0035580Novo Nordisk Fonden (NNF) NNF20OC0060809Novo Nordisk Fonden (NNF) NNF21OC0072559
6 · The paper itself

Abstract

The challenge of accurately predicting which genetic alternations lead to the desired phenotype necessitates high-throughput metabolic engineering approaches where numerous hypotheses can be tested simultaneously. We describe the CRISPR-Cas9-based method TUNE

Indexed as

Gene Expression Regulation, FungalMetabolic EngineeringYarrowiaCRISPR-Cas SystemsFungal ProteinsGene LibraryPlasmidsPromoter Regions, GeneticTranscription FactorsFungal ProteinsTranscription FactorsCRISPR-Cas9functional genomicshigh-throughput genome editingindustrial biotechnologytranscription factors

Identifiers

PMID40460129
PMCPMC12168020

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.