Evidence map›Paper›PMID 16123130›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2005

Tuning genetic control through promoter engineering.

Hal Alper, Curt Fischer, Elke Nevoigt, Gregory Stephanopoulos

Erratum issuedOpen access · bronzeAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2005. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 336 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
336citing papers in PubMed, 1 pooled it
7.2field-weighted citation impact, top 2% 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

336 citing papers in PubMed, 1 synthesis or guideline pooled it, 893 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Article
  6. Engineered Optogenetic Circuits In Yeast with Self-Sustained Outputs.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  7. Optimized cumate toolkit for tunable protein expression duringApplied and environmental microbiology · 2026
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Deep Generative Model-Driven Design of Microbial Synthetic Promoters.Journal of microbiology and biotechnology · 2025
    Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. High-throughput metabolic engineering ofProceedings of the National Academy of Sciences of the United States of America · 2025
    Article

276 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

  • Erratum issued
5 · Who and what money

Authors and funding

4 authors at 1 institution in 2 countries.

Hal AlperDepartment of Chemical Engineering, Massachusetts Institute of Technology, Room 56-469, Cambridge, MA 02139, USA.
Curt Fischer
Elke Nevoigt
Gregory Stephanopoulos
Massachusetts Institute of Technology · US

Funding

Microbial Platform for Accessing Plant AlkaloidsR43TR000616 · NCATS · GINKGO BIOWORKS, INC. · PI FISCHER, CURT · 2013 to 2013
$150k
NCATS NIH HHS R43 TR000616
6 · The paper itself

Abstract

Gene function is typically evaluated by sampling the continuum of gene expression at only a few discrete points corresponding to gene knockout or overexpression. We argue that this characterization is incomplete and present a library of engineered promoters of varying strengths obtained through mutagenesis of a constitutive promoter. A multifaceted characterization of the library, especially at the single-cell level to ensure homogeneity, permitted quantitative assessment correlating the effect of gene expression levels to improved growth and product formation phenotypes in Escherichia coli. Integration of these promoters into the chromosome can allow for a quantitative accurate assessment of genetic control. To this end, we used the characterized library of promoters to assess the impact of phosphoenolpyruvate carboxylase levels on growth yield and deoxy-xylulose-P synthase levels on lycopene production. The multifaceted characterization of promoter strength enabled identification of optimal expression levels for ppc and dxs, which maximized the desired phenotype. Additionally, in a strain preengineered to produce lycopene, the response to deoxy-xylulose-P synthase levels was linear at all levels tested, indicative of a rate-limiting step, unlike the parental strain, which exhibited an optimum expression level, illustrating that optimal gene expression levels are variable and dependent on the genetic background of the strain. This promoter library concept is illustrated as being generalizable to eukaryotic organisms (Saccharomyces cerevisiae) and thus constitutes an integral platform for functional genomics, synthetic biology, and metabolic engineering endeavors.

Indexed as

Escherichia coliGene Expression Regulation, BacterialGene Expression Regulation, FungalGene LibraryGenetic EngineeringPromoter Regions, GeneticSaccharomyces cerevisiaeTranscription, Genetic

Identifiers

PMID16123130
PMCPMC1200280
OpenAlexW2134783465

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.