Evidence map›Paper›PMID 24621257›Full record

ArticleACS synthetic biology2015

Rapidly characterizing the fast dynamics of RNA genetic circuitry with cell-free transcription-translation (TX-TL) systems.

Melissa K Takahashi, James Chappell, Clarmyra A Hayes, Zachary Z Sun, Jongmin Kim, Vipul Singhal, Kevin J Spring, Shaima Al-Khabouri, Christopher P Fall, Vincent Noireaux and 2 more

Open access · hybridAbstract read
In one paragraph

Article in ACS synthetic biology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 82 papers.

0numbers the graph read from it
0cells of the map it votes in
82citing papers in PubMed
8.3field-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

82 citing papers in PubMed, 179 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Cell-Free Genetic Circuits: Extract and Template Preparation.Methods in molecular biology (Clifton, N.J.) · 2026
    Article
  5. Review
  6. Article
  7. Review
  8. Review
  9. Synthetic biology (Oxford, England) · 2024
    Article
  10. Review
  11. Article
  12. Bottom-Up Synthetic Biology Using Cell-Free Protein Synthesis.Advances in biochemical engineering/biotechnology · 2023
    Review
  13. Advancing synthetic biology through cell-free protein synthesis.Computational and structural biotechnology journal · 2023
    Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article

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

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

12 authors at 5 institutions in 2 countries.

Melissa K Takahashi†School of Chemical and Biomolecular Engineering, Cornell University, Ithaca, New York 14850, United States.
James Chappell†School of Chemical and Biomolecular Engineering, Cornell University, Ithaca, New York 14850, United States.
Clarmyra A Hayes§Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, California 91125, United States.
Zachary Z Sun§Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, California 91125, United States.
Jongmin Kim§Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, California 91125, United States.
Vipul Singhal‡CSHL Course in Synthetic Biology, Cold Spring Harbor Laboratory, Cold Spring Harbor, New York 11724, United States.
Kevin J Spring‡CSHL Course in Synthetic Biology, Cold Spring Harbor Laboratory, Cold Spring Harbor, New York 11724, United States.
Shaima Al-Khabouri‡CSHL Course in Synthetic Biology, Cold Spring Harbor Laboratory, Cold Spring Harbor, New York 11724, United States.
Christopher P Fall‡CSHL Course in Synthetic Biology, Cold Spring Harbor Laboratory, Cold Spring Harbor, New York 11724, United States.
Vincent Noireaux○School of Physics and Astronomy, University of Minnesota, Minneapolis, Minnesota 55455, United States.
Richard M Murray‡CSHL Course in Synthetic Biology, Cold Spring Harbor Laboratory, Cold Spring Harbor, New York 11724, United States.
Julius B Lucks†School of Chemical and Biomolecular Engineering, Cornell University, Ithaca, New York 14850, United States.
California Institute of Technology · USCold Spring Harbor Laboratory · USCornell University · USGeorgetown University · USUniversity of Minnesota · US

Funding

UCLA-Caltech Medical Scientist Training ProgramT32GM008042 · NIGMS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI AJIJOLA, OLUJIMI A, DAWSON, DAVID WAYNE · 1985 to 2023
$29.9M
Howard Hughes Medical Institute
6 · The paper itself

Abstract

RNA regulators are emerging as powerful tools to engineer synthetic genetic networks or rewire existing ones. A potential strength of RNA networks is that they may be able to propagate signals on time scales that are set by the fast degradation rates of RNAs. However, a current bottleneck to verifying this potential is the slow design-build-test cycle of evaluating these networks in vivo. Here, we adapt an Escherichia coli-based cell-free transcription-translation (TX-TL) system for rapidly prototyping RNA networks. We used this system to measure the response time of an RNA transcription cascade to be approximately five minutes per step of the cascade. We also show that this response time can be adjusted with temperature and regulator threshold tuning. Finally, we use TX-TL to prototype a new RNA network, an RNA single input module, and show that this network temporally stages the expression of two genes in vivo.

Indexed as

Escherichia coliEscherichia coli ProteinsGene Regulatory NetworksGenetic EngineeringProtein BiosynthesisRNASynthetic BiologyTranscription, GeneticEscherichia coli ProteinsRNAcell-freeresponse timeRNA genetic circuitsRNA synthetic biologyTX-TL

Identifiers

PMID24621257
PMCPMC4487224
OpenAlexW2950851734

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.