Evidence map›Paper›PMID 22180537›Full record

ArticleNucleic acids research2012

Expression optimization and synthetic gene networks in cell-free systems.

David K Karig, Sukanya Iyer, Michael L Simpson, Mitchel J Doktycz

Abstract read
In one paragraph

Article in Nucleic acids research, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers.

0numbers the graph read from it
0cells of the map it votes in
50citing papers in PubMed
–field-weighted citation impact
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

50 citing papers in PubMed.

  1. Article
  2. Genetically Encoded Control ofACS synthetic biology · 2025
    Article
  3. Review
  4. Review
  5. Review
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. What remains from living cells in bacterial lysate-based cell-free systems.Computational and structural biotechnology journal · 2023
    Review
  12. Solid-Phase Cell-Free Protein Synthesis and Its Applications in Biotechnology.Advances in biochemical engineering/biotechnology · 2023
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Physical stimuli-responsive cell-free protein synthesis.Synthetic and systems biotechnology · 2020
    Article
  18. Article
  19. Article
  20. Review
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.

David K KarigCenter for Nanophase Materials Sciences, Oak Ridge National Laboratory, Bethel Valley Road, Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN 37831, USA. karigdk@ornl.gov
Sukanya Iyer
Michael L Simpson
Mitchel J Doktycz

Funding

Nanosensing and Actuation Using Cell MimeticsR01EB000657 · NIBIB · UT-BATTELLE, LLC-OAK RIDGE NATIONAL LAB · PI DOKTYCZ, MITCHEL · 2002 to 2010
$3.3M
NIBIB NIH HHS EB000657
6 · The paper itself

Abstract

Synthetic biology offers great promise to a variety of applications through the forward engineering of biological function. Most efforts in this field have focused on employing living cells, yet cell-free approaches offer simpler and more flexible contexts. Here, we evaluate cell-free regulatory systems based on T7 promoter-driven expression by characterizing variants of TetR and LacI repressible T7 promoters in a cell-free context and examining sequence elements that determine expression efficiency. Using the resulting constructs, we then explore different approaches for composing regulatory systems, leading to the implementation of inducible negative feedback in Escherichia coli extracts and in the minimal PURE system, which consists of purified proteins necessary for transcription and translation. Despite the fact that negative feedback motifs are common and essential to many natural and engineered systems, this simple building block has not previously been implemented in a cell-free context. As a final step, we then demonstrate that the feedback systems developed using our cell-free approach can be implemented in live E. coli as well, illustrating the potential for using cell-free expression to fast track the development of live cell systems in synthetic biology. Our quantitative cell-free component characterizations and demonstration of negative feedback embody important steps on the path to harnessing biological function in a bottom-up fashion.

Indexed as

Gene Expression RegulationGene Regulatory NetworksCell-Free SystemEscherichia coliFeedback, PhysiologicalGenes, SyntheticLac RepressorsPromoter Regions, GeneticProteinsRepressor ProteinsSynthetic BiologyLac RepressorsProteinsRepressor Proteinstetracycline resistance-encoding transposon repressor protein

Identifiers

PMID22180537
PMCPMC3333853

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.