Evidence map›Paper›PMID 25049420›Full record

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

Improving fatty acids production by engineering dynamic pathway regulation and metabolic control.

Peng Xu, Lingyun Li, Fuming Zhang, Gregory Stephanopoulos, Mattheos Koffas

Abstract 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 161 papers.

0numbers the graph read from it
0cells of the map it votes in
161citing 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

161 citing papers in PubMed.

  1. Metabolic engineering ofApplied and environmental microbiology · 2026
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  15. GenoMine: a CRISPR-Cas9-based kill switch for biocontainment ofFrontiers in bioengineering and biotechnology · 2024
    Article
  16. Review
  17. Effect of fatty acids on intracellular pneumocandin BBioresources and bioprocessing · 2023
    Article
  18. Article
  19. Article
  20. Article

101 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.

Peng XuDepartment of Chemical and Biological Engineering, Rensselaer Polytechnic Institute, Troy, NY 12180;Center for Biotechnology and Interdisciplinary Studies, Rensselaer Polytechnic Institute, Troy, NY 12180;
Lingyun LiCenter for Biotechnology and Interdisciplinary Studies, Rensselaer Polytechnic Institute, Troy, NY 12180;Department of Biological Sciences, Rensselaer Polytechnic Institute, Troy, NY 12180; and.
Fuming ZhangDepartment of Chemical and Biological Engineering, Rensselaer Polytechnic Institute, Troy, NY 12180;Center for Biotechnology and Interdisciplinary Studies, Rensselaer Polytechnic Institute, Troy, NY 12180;
Gregory StephanopoulosDepartment of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139.
Mattheos KoffasDepartment of Chemical and Biological Engineering, Rensselaer Polytechnic Institute, Troy, NY 12180;Center for Biotechnology and Interdisciplinary Studies, Rensselaer Polytechnic Institute, Troy, NY 12180;Department of Biological Sciences, Rensselaer Polytechnic Institute, Troy, NY 12180; and koffam@rpi.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Global energy demand and environmental concerns have stimulated increasing efforts to produce carbon-neutral fuels directly from renewable resources. Microbially derived aliphatic hydrocarbons, the petroleum-replica fuels, have emerged as promising alternatives to meet this goal. However, engineering metabolic pathways with high productivity and yield requires dynamic redistribution of cellular resources and optimal control of pathway expression. Here we report a genetically encoded metabolic switch that enables dynamic regulation of fatty acids (FA) biosynthesis in Escherichia coli. The engineered strains were able to dynamically compensate the critical enzymes involved in the supply and consumption of malonyl-CoA and efficiently redirect carbon flux toward FA biosynthesis. Implementation of this metabolic control resulted in an oscillatory malonyl-CoA pattern and a balanced metabolism between cell growth and product formation, yielding 15.7- and 2.1-fold improvement in FA titer compared with the wild-type strain and the strain carrying the uncontrolled metabolic pathway. This study provides a new paradigm in metabolic engineering to control and optimize metabolic pathways facilitating the high-yield production of other malonyl-CoA-derived compounds.

Indexed as

Biosynthetic PathwaysEscherichia coliEscherichia coli ProteinsFatty AcidsGene Expression Regulation, BacterialMalonyl Coenzyme AMetabolic EngineeringTranscription FactorsEscherichia coli ProteinsFAPR protein, E coliFatty AcidsMalonyl Coenzyme ATranscription Factorsbiofuelsdynamic metabolic controltranscriptional regulation

Identifiers

PMID25049420
PMCPMC4128127

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.