Evidence map›Paper›PMID 25311543›Full record

ArticleNature communications2014

Highly modular bow-tie gene circuits with programmable dynamic behaviour.

Laura Prochazka, Bartolomeo Angelici, Benjamin Haefliger, Yaakov Benenson

Abstract read
In one paragraph

Article in Nature communications, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

  1. Article
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  4. Review
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  11. Article
  12. Review
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  14. Article
  15. Article
  16. Article
  17. Engineering Gene Circuits for Mammalian Cell-Based Applications.Cold Spring Harbor perspectives in biology · 2016
    Review
  18. Article
  19. Article
  20. Article
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.

Laura ProchazkaDepartment of Biosystems Science and Engineering (D-BSSE), Swiss Federal Institute of Technology (ETH) Zürich, Mattenstrasse 26, Basel 4058, Switzerland.
Bartolomeo AngeliciDepartment of Biosystems Science and Engineering (D-BSSE), Swiss Federal Institute of Technology (ETH) Zürich, Mattenstrasse 26, Basel 4058, Switzerland.
Benjamin HaefligerDepartment of Biosystems Science and Engineering (D-BSSE), Swiss Federal Institute of Technology (ETH) Zürich, Mattenstrasse 26, Basel 4058, Switzerland.
Yaakov BenensonDepartment of Biosystems Science and Engineering (D-BSSE), Swiss Federal Institute of Technology (ETH) Zürich, Mattenstrasse 26, Basel 4058, Switzerland.

Funding

MicroRNA Expression Profiling Circuits for Detection and Destruction of CancerR01CA155320 · NCI · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI BENENSON, YAAKOV, WEISS, RON · 2011 to 2015
$2.3M
European Research Council 281490NCI NIH HHS R01 CA155320NCI NIH HHS R01CA155320
6 · The paper itself

Abstract

Synthetic gene circuits often require extensive mutual optimization of their components for successful operation, while modular and programmable design platforms are rare. A possible solution lies in the 'bow-tie' architecture, which stipulates a focal component-a 'knot'-uncoupling circuits' inputs and outputs, simplifying component swapping, and introducing additional layer of control. Here we construct, in cultured human cells, synthetic bow-tie circuits that transduce microRNA inputs into protein outputs with independently programmable logical and dynamic behaviour. The latter is adjusted via two different knot configurations: a transcriptional activator causing the outputs to track input changes reversibly, and a recombinase-based cascade, converting transient inputs into permanent actuation. We characterize the circuits in HEK293 cells, confirming their modularity and scalability, and validate them using endogenous microRNA inputs in additional cell lines. This platform can be used for biotechnological and biomedical applications in vitro, in vivo and potentially in human therapy.

Indexed as

Gene Regulatory NetworksHEK293 CellsHumansMicroRNAsProteinsMicroRNAsProteins

Identifiers

PMID25311543
PMCPMC4197411

What OpenQuestion holds

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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.