Evidence map›Paper›PMID 25355907›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2014

Building carbon-carbon bonds using a biocatalytic methanol condensation cycle.

Igor W Bogorad, Chang-Ting Chen, Matthew K Theisen, Tung-Yun Wu, Alicia R Schlenz, Albert T Lam, James C Liao

Open access · bronzeAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 56 papers.

0numbers the graph read from it
0cells of the map it votes in
56citing papers in PubMed
6.7field-weighted citation impact, top 3% of its field
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

56 citing papers in PubMed, 152 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Electro-Driven Multi-Enzymatic Cascade Conversion of COAdvanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024
    Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Review
  12. Review
  13. Article
  14. Enzymatic Conversion of COChemical reviews · 2023
    Review
  15. EngineeringBioengineering (Basel, Switzerland) · 2023
    Article
  16. Review
  17. Bioconversion of Methanol by Synthetic Methylotrophy.Advances in biochemical engineering/biotechnology · 2022
    Article
  18. Review
  19. Developing methylotrophic microbial platforms for a methanol-based bioindustry.Frontiers in bioengineering and biotechnology · 2022
    Review
  20. Review
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 at 1 institution in 1 country.

Igor W BogoradDepartments of Chemical and Biomolecular Engineering and Bioengineering, University of California, Los Angeles, CA 90095; and.
Chang-Ting ChenDepartments of Chemical and Biomolecular Engineering and.
Matthew K TheisenDepartments of Chemical and Biomolecular Engineering and Bioengineering, University of California, Los Angeles, CA 90095; and.
Tung-Yun WuDepartments of Chemical and Biomolecular Engineering and.
Alicia R SchlenzDepartments of Chemical and Biomolecular Engineering and.
Albert T LamDepartments of Chemical and Biomolecular Engineering and.
James C LiaoDepartments of Chemical and Biomolecular Engineering and Bioengineering, University of California, Los Angeles, CA 90095; and UCLA-DOE Institute for Genomics and Proteomics, University of California, Los Angeles, CA 90095 liaoj@ucla.edu.
University of California, Los Angeles · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Methanol is an important intermediate in the utilization of natural gas for synthesizing other feedstock chemicals. Typically, chemical approaches for building C-C bonds from methanol require high temperature and pressure. Biological conversion of methanol to longer carbon chain compounds is feasible; however, the natural biological pathways for methanol utilization involve carbon dioxide loss or ATP expenditure. Here we demonstrated a biocatalytic pathway, termed the methanol condensation cycle (MCC), by combining the nonoxidative glycolysis with the ribulose monophosphate pathway to convert methanol to higher-chain alcohols or other acetyl-CoA derivatives using enzymatic reactions in a carbon-conserved and ATP-independent system. We investigated the robustness of MCC and identified operational regions. We confirmed that the pathway forms a catalytic cycle through (13)C-carbon labeling. With a cell-free system, we demonstrated the conversion of methanol to ethanol or n-butanol. The high carbon efficiency and low operating temperature are attractive for transforming natural gas-derived methanol to longer-chain liquid fuels and other chemical derivatives.

Indexed as

Models, ChemicalAdenosine TriphosphateButanolsCandidaCarbon DioxideGlycolysisMethanolPichiaSaccharomyces cerevisiaeSaccharomyces cerevisiae ProteinsAdenosine TriphosphateButanolsCarbon DioxideMethanolSaccharomyces cerevisiae Proteinsbio-butanolbio-ethanolcell-free synthesismetabolic engineeringmethanol metabolism

Identifiers

PMID25355907
PMCPMC4234558
OpenAlexW2006857729

What OpenQuestion 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 OpenQuestion graph.