Evidence map›Paper›PMID 22446695›Full record

ArticleNature biotechnology2012

Design of a dynamic sensor-regulator system for production of chemicals and fuels derived from fatty acids.

Fuzhong Zhang, James M Carothers, Jay D Keasling

Abstract read
PubMed Publisher
In one paragraph

Article in Nature biotechnology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 300 papers.

0numbers the graph read from it
0cells of the map it votes in
300citing papers in PubMed
31.3field-weighted citation impact, top 1% 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

300 citing papers in PubMed, 835 citations in OpenAlex.

  1. Review
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  9. Cell-Free Genetic Circuits: Extract and Template Preparation.Methods in molecular biology (Clifton, N.J.) · 2026
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  13. Balancing Cell Growth and Product Synthesis for Efficient Microbial Cell Factories.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Review
  14. Review
  15. Science (New York, N.Y.) · 2025
    Article
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  20. Review

240 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

3 authors at 2 institutions in 1 country.

Fuzhong ZhangJoint BioEnergy Institute, Emeryville, California, USA.
James M Carothers
Jay D Keasling
University of California, Berkeley · USJoint BioEnergy Institute · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Microbial production of chemicals is now an attractive alternative to chemical synthesis. Current efforts focus mainly on constructing pathways to produce different types of molecules. However, there are few strategies for engineering regulatory components to improve product titers and conversion yields of heterologous pathways. Here we developed a dynamic sensor-regulator system (DSRS) to produce fatty acid-based products in Escherichia coli, and demonstrated its use for biodiesel production. The DSRS uses a transcription factor that senses a key intermediate and dynamically regulates the expression of genes involved in biodiesel production. This DSRS substantially improved the stability of biodiesel-producing strains and increased the titer to 1.5 g/l and the yield threefold to 28% of the theoretical maximum. Given the large number of natural sensors available, this DSRS strategy can be extended to many other biosynthetic pathways to balance metabolism, thereby increasing product titers and conversion yields and stabilizing production hosts.

Indexed as

AraC Transcription FactorBiofuelsBiosensing TechniquesEscherichia coliFatty AcidsPromoter Regions, GeneticTranscription FactorsAraC Transcription FactorBiofuelsFatty AcidsTranscription Factors

Identifiers

PMID22446695
OpenAlexW2073265884

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.