Evidence map›Paper›PMID 23034349›Full record

ArticleNature biotechnology2012

Ribozyme-based insulator parts buffer synthetic circuits from genetic context.

Chunbo Lou, Brynne Stanton, Ying-Ja Chen, Brian Munsky, Christopher A Voigt

Abstract read
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 197 papers.

0numbers the graph read from it
0cells of the map it votes in
197citing 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

197 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article

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

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Chunbo LouSynthetic Biology Center, Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA.
Brynne Stanton
Ying-Ja Chen
Brian Munsky
Christopher A Voigt

Funding

System Dynamics of the Salmonella Virulence Regulatory NetworkR01AI067699 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI VOIGT, CHRISTOPHER A · 2007 to 2011
$1.5M
Characterization of Gradient-Responsive Genetic Programs Using Light SensorsR01GM095765 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI VOIGT, CHRISTOPHER A · 2011 to 2014
$1.2M
System Dynamics of the Salmonella Virulence Regulatory NetworkR56AI067699 · NIAID · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI VOIGT, CHRISTOPHER A · 2012 to 2012
$279k
NIAID NIH HHS AI067699NIAID NIH HHS R01 AI067699NIAID NIH HHS R56 AI067699NIGMS NIH HHS R01 GM095765
6 · The paper itself

Abstract

Synthetic genetic programs are built from circuits that integrate sensors and implement temporal control of gene expression. Transcriptional circuits are layered by using promoters to carry the signal between circuits. In other words, the output promoter of one circuit serves as the input promoter to the next. Thus, connecting circuits requires physically connecting a promoter to the next circuit. We show that the sequence at the junction between the input promoter and circuit can affect the input-output response (transfer function) of the circuit. A library of putative sequences that might reduce (or buffer) such context effects, which we refer to as 'insulator parts', is screened in Escherichia coli. We find that ribozymes that cleave the 5' untranslated region (5'-UTR) of the mRNA are effective insulators. They generate quantitatively identical transfer functions, irrespective of the identity of the input promoter. When these insulators are used to join synthetic gene circuits, the behavior of layered circuits can be predicted using a mathematical model. The inclusion of insulators will be critical in reliably permuting circuits to build different programs.

Indexed as

Models, GeneticComputer SimulationEscherichia coliGene Regulatory NetworksPromoter Regions, GeneticRNA, CatalyticTranscriptional ActivationRNA, Catalytic

Identifiers

PMID23034349
PMCPMC3914141

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.