Evidence map›Paper›PMID 32747797›Full record

ArticleNature microbiology2020

Genetic circuit design automation for yeast.

Ye Chen, Shuyi Zhang, Eric M Young, Timothy S Jones, Douglas Densmore, Christopher A Voigt

Open access · greenAbstract read
PubMed Publisher
In one paragraph

Article in Nature microbiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 76 papers.

0numbers the graph read from it
0cells of the map it votes in
76citing papers in PubMed
7.3field-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

76 citing papers in PubMed, 149 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Programming Next-Generation Synthetic Biosensors by Genetic Circuit Design.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Review
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. The design and engineering of synthetic genomes.Nature reviews. Genetics · 2025
    Review
  18. Article
  19. The switch-liker's guide to plant synthetic gene circuits.The Plant journal : for cell and molecular biology · 2025
    Review
  20. Article

16 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

6 authors at 2 institutions in 1 country.

Ye ChenSynthetic Biology Center, Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA.ORCID http://orcid.org/0000-0003-1247-5444
Shuyi ZhangSynthetic Biology Center, Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA.
Eric M YoungSynthetic Biology Center, Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA.
Timothy S JonesDepartment of Electrical and Computer Engineering, Boston University, Boston, MA, USA.
Douglas DensmoreDepartment of Electrical and Computer Engineering, Boston University, Boston, MA, USA.
Christopher A VoigtSynthetic Biology Center, Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA. cavoigt@gmail.com.ORCID http://orcid.org/0000-0003-0844-4776
Massachusetts Institute of Technology · USBoston University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cells can be programmed to monitor and react to their environment using genetic circuits. Design automation software maps a desired circuit function to a DNA sequence, a process that requires units of gene regulation (gates) that are simple to connect and behave predictably. This poses a challenge for eukaryotes due to their complex mechanisms of transcription and translation. To this end, we have developed gates for yeast (Saccharomyces cerevisiae) that are connected using RNA polymerase flux as the signal carrier and are insulated from each other and host regulation. They are based on minimal constitutive promoters (~120 base pairs), for which rules are developed to insert operators for DNA-binding proteins. Using this approach, we constructed nine NOT/NOR gates with nearly identical response functions and 400-fold dynamic range. In circuits, they are transcriptionally insulated from each other by placing ribozymes downstream of terminators to block nuclear export of messenger RNAs resulting from RNA polymerase readthrough. Based on these gates, Cello 2.0 was used to build circuits with up to 11 regulatory proteins. A simple dynamic model predicts the circuit response over days. Genetic circuit design automation for eukaryotes simplifies the construction of regulatory networks as part of cellular engineering projects, whether it be to stage processes during bioproduction, serve as environmental sentinels or guide living therapeutics.

Indexed as

Gene Regulatory NetworksAutomationBase SequenceDNADNA-Binding ProteinsDNA-Directed RNA PolymerasesGene Expression Regulation, FungalPromoter Regions, GeneticRNA, CatalyticSaccharomyces cerevisiaeSoftwareSynthetic BiologyTranscription FactorsTranscription, GeneticDNADNA-Binding ProteinsDNA-Directed RNA PolymerasesRNA, CatalyticTranscription Factors

Identifiers

PMID32747797
OpenAlexW3046581440

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.