Evidence map›Paper›PMID 25542851›Full record

ArticleMetabolic engineering2015

Dynamic knockdown of E. coli central metabolism for redirecting fluxes of primary metabolites.

Irene M Brockman, Kristala L J Prather

Open access · bronzeAbstract read
In one paragraph

Article in Metabolic engineering, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers.

0numbers the graph read from it
0cells of the map it votes in
52citing papers in PubMed
5.0field-weighted citation impact, top 4% 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

52 citing papers in PubMed, 167 citations in OpenAlex.

  1. Article
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  6. 2-Stage microfermentations.Metabolic engineering communications · 2024
    Article
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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

2 authors at 1 institution in 1 country.

Irene M BrockmanDepartment of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.
Kristala L J PratherDepartment of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139, USA. Electronic address: kljp@mit.edu.
Massachusetts Institute of Technology · US

Funding

Interdepartmental Biotechnology Training ProgramT32GM008334 · NIGMS · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI WITTRUP, KARL DANE · 1989 to 2018
$15.2M
NIGMS NIH HHS T32 GM008334NIGMS NIH HHS T32GM008334
6 · The paper itself

Abstract

Control of native enzyme levels is important when optimizing strains for overproduction of heterologous compounds. However, for many central metabolic enzymes, static knockdown results in poor growth and protein expression. We have developed a strategy for dynamically modulating the abundance of native enzymes within the host cell and applied this to a model system for myo-inositol production from glucose. This system relies on controlled degradation of a key glycolytic enzyme, phosphofructokinase-I (Pfk-I). Through tuning Pfk-I levels, we have been able to develop an Escherichia coli strain with a growth mode close to wild type and a production mode with an increased glucose-6-phosphate pool available for conversion into myo-inositol. The switch to production mode is trigged by inducer addition, allowing yield, titer, and productivity to be managed through induction time. By varying the time of Pfk-I degradation, we were able to achieve a two-fold improvement in yield and titers of myo-inositol.

Indexed as

Escherichia coliEscherichia coli ProteinsGene Knockdown TechniquesGlucose-6-PhosphateInositolPhosphofructokinase-11-phosphofructokinaseEscherichia coli ProteinsGlucose-6-PhosphateInositolPhosphofructokinase-1Dynamic metabolic controlMetabolic flux redirectionPrimary metabolismProtein degradationSynthetic biology

Identifiers

PMID25542851
PMCPMC4355230
OpenAlexW2005454774

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.