Evidence map›Paper›PMID 22718979›Full record

ArticleNucleic acids research2012

Customized optimization of metabolic pathways by combinatorial transcriptional engineering.

Jing Du, Yongbo Yuan, Tong Si, Jiazhang Lian, Huimin Zhao

Registry-linked trialAbstract read
In one paragraph

Article in Nucleic acids research, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05940701 (The Effectiveness of Biomimetic Materials in Preventing Enamel Demineralization During Fixed Appliance Orthodontic Treatment), which is not on this map. Cited by 95 papers.

0numbers the graph read from it
0cells of the map it votes in
95citing 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.

NCT05940701 naunknown statusnot on this mapstarted 2023, after this paper: background citation

The Effectiveness of Biomimetic Materials in Preventing Enamel Demineralization During Fixed Appliance Orthodontic Treatment: a Randomized Clinical Trial

TypeinterventionalSponsorUniversity of BaghdadRan2023 to 2024Enrolled65ConditionsEnamel Hypomineralization, DentalArmsCurasept Biosmalto Mousse and toothpaste, Colgate toothpaste
3 · Its place in the literature

Who cites it

95 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Article
  5. Deep Generative Model-Driven Design of Microbial Synthetic Promoters.Journal of microbiology and biotechnology · 2025
    Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Biology · 2021
    Review
  18. Review
  19. Bidirectional titration of yeast gene expression using a pooled CRISPR guide RNA approach.Proceedings of the National Academy of Sciences of the United States of America · 2020
    Article
  20. Article

35 more citing papers are in PubMed but not listed here.

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.

Jing DuDepartment of Chemical and Biomolecular Engineering, Institute for Genomic Biology, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA.
Yongbo Yuan
Tong Si
Jiazhang Lian
Huimin Zhao

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A major challenge in metabolic engineering and synthetic biology is to balance the flux of an engineered heterologous metabolic pathway to achieve high yield and productivity in a target organism. Here, we report a simple, efficient and programmable approach named 'customized optimization of metabolic pathways by combinatorial transcriptional engineering (COMPACTER)' for rapid tuning of gene expression in a heterologous pathway under distinct metabolic backgrounds. Specifically, a library of mutant pathways is created by de novo assembly of promoter mutants of varying strengths for each pathway gene in a target organism followed by high-throughput screening/selection. To demonstrate this approach, a single round of COMPACTER was used to generate both a xylose utilizing pathway with near-highest efficiency and a cellobiose utilizing pathway with highest efficiency that were ever reported in literature for both laboratory and industrial yeast strains. Interestingly, these engineered xylose and cellobiose utilizing pathways were all host-specific. Therefore, COMPACTER represents a powerful approach to tailor-make metabolic pathways for different strain backgrounds, which is difficult if not impossible to achieve by existing pathway engineering methods.

Indexed as

CellobioseGene Expression RegulationGenetic EngineeringMetabolic Networks and PathwaysMutationPromoter Regions, GeneticSaccharomyces cerevisiaeSpecies SpecificityTranscription, GeneticXyloseCellobioseXylose

Identifiers

PMID22718979
PMCPMC3467037

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Registered trials

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.