Evidence map›Paper›PMID 22124721›Full record

ArticleApplied microbiology and biotechnology2012

Computational identification of gene over-expression targets for metabolic engineering of taxadiene production.

Brett A Boghigian, John Armando, Daniel Salas, Blaine A Pfeifer

Open access · greenAbstract read
In one paragraph

Article in Applied microbiology and biotechnology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
2.3field-weighted citation impact, top 12% 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

19 citing papers in PubMed, 58 citations in OpenAlex.

  1. Article
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  4. Genome-scale metabolic model led engineering ofFrontiers in plant science · 2023
    Article
  5. Metabolic engineering of3 Biotech · 2021
    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

4 authors at 1 institution in 1 country.

Brett A BoghigianDepartment of Chemical and Biological Engineering, Science and Technology Center, Tufts University, 4 Colby Street, Medford, MA 02155, USA.
John Armando
Daniel Salas
Blaine A Pfeifer
Tufts University · US

Funding

Metabolic Engineering for Microbial Taxol BiosynthesisR01GM085323 · NIGMS · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI STEPHANOPOULOS, GREGORY · 2009 to 2012
$2.8M
NIGMS NIH HHS GM085323NIGMS NIH HHS R01 GM085323
6 · The paper itself

Abstract

Taxadiene is the first dedicated intermediate in the biosynthetic pathway of the anticancer compound Taxol. Recent studies have taken advantage of heterologous hosts to produce taxadiene and other isoprenoid compounds, and such ventures now offer research opportunities that take advantage of the engineering tools associated with the surrogate host. In this study, metabolic engineering was applied in the context of over-expression targets predicted to improve taxadiene production. Identified targets included genes both within and outside of the isoprenoid precursor pathway. These targets were then tested for experimental over-expression in a heterologous Escherichia coli host designed to support isoprenoid biosynthesis. Results confirmed the computationally predicted improvements and indicated a synergy between targets within the expected isoprenoid precursor pathway and those outside this pathway. The presented algorithm is broadly applicable to other host systems and/or product choices.

Indexed as

Gene ExpressionMetabolic EngineeringAlkenesComputational BiologyDiterpenesEscherichia coliMetabolic Networks and PathwaysAlkenesDiterpenestaxa-4(5),11(12)diene

Identifiers

PMID22124721
PMCPMC9896017
OpenAlexW2086074044

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.