Evidence map›Paper›PMID 34826644›Full record

ReviewMetabolic engineering2022

Kinetically guided, ratiometric tuning of fatty acid biosynthesis.

Kathryn Mains, Jackson Peoples, Jerome M Fox

Open access · greenAbstract readReview
In one paragraph

Review in Metabolic engineering, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.1field-weighted citation impact, top 23% 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

11 citing papers in PubMed, 19 citations in OpenAlex.

  1. Article
  2. A Hidden Binding Pocket in the β- ketoacyl-ACP Synthase FabB.bioRxiv : the preprint server for biology · 2026
    Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Review
  8. Article
  9. Article
  10. Article
  11. 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

3 authors at 1 institution in 1 country.

Kathryn MainsDepartment of Chemical and Biological Engineering, University of Colorado, Boulder, 3415 Colorado Avenue, Boulder, CO, 80303, USA.
Jackson PeoplesDepartment of Chemical and Biological Engineering, University of Colorado, Boulder, 3415 Colorado Avenue, Boulder, CO, 80303, USA.
Jerome M FoxDepartment of Chemical and Biological Engineering, University of Colorado, Boulder, 3415 Colorado Avenue, Boulder, CO, 80303, USA. Electronic address: jerome.fox@colorado.edu.
University of Colorado Boulder · US

Funding

Predoctoral Training Molecular BiophysicsT32GM065103 · NIGMS · UNIVERSITY OF COLORADO AT BOULDER · PI FALKE, JOSEPH J · 2002 to 2021
$4.3M
Q Exactive HF Nanoflow LC Mass Spectrometry SystemS10OD025267 · OD · UNIVERSITY OF COLORADO · PI AHN, NATALIE G. · 2018 to 2018
$600k
NIGMS NIH HHS T32 GM065103NIH HHS S10 OD025267
6 · The paper itself

Abstract

Cellular metabolism is a nonlinear reaction network in which dynamic shifts in enzyme concentration help regulate the flux of carbon to different products. Despite the apparent simplicity of these biochemical adjustments, their influence on metabolite biosynthesis tends to be context-dependent, difficult to predict, and challenging to exploit in metabolic engineering. This study combines a detailed kinetic model with a systematic set of in vitro and in vivo analyses to explore the use of enzyme concentration as a control parameter in fatty acid synthesis, an essential metabolic process with important applications in oleochemical production. Compositional analyses of a modeled and experimentally reconstituted fatty acid synthase (FAS) from Escherichia coli indicate that the concentration ratio of two native enzymes-a promiscuous thioesterase and a ketoacyl synthase-can tune the average length of fatty acids, an important design objective of engineered pathways. The influence of this ratio is sensitive to the concentrations of other FAS components, which can narrow or expand the range of accessible chain lengths. Inside the cell, simple changes in enzyme concentration can enhance product-specific titers by as much as 125-fold and elicit shifts in overall product profiles that rival those of thioesterase mutants. This work develops a kinetically guided approach for using ratiometric adjustments in enzyme concentration to control the product profiles of FAS systems and, broadly, provides a detailed framework for understanding how coordinated shifts in enzyme concentration can afford tight control over the outputs of nonlinear metabolic pathways.

Indexed as

Escherichia coli ProteinsMetabolic EngineeringEscherichia coliFatty AcidsMetabolic Networks and PathwaysEscherichia coli ProteinsFatty AcidsBiocatalytic networksConcentration effectsFatty acid synthesisIn vitro studiesKetoacyl synthaseKinetic modelOleochemicalsThioesterase

Identifiers

PMID34826644
PMCPMC9620866
OpenAlexW3216034917

What OpenQuestion holds

Textmetadata
LicenceTDM
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.