Evidence map›Paper›PMID 29483643›Full record

ArticleNature chemical biology2018

Directed evolution of a synthetic phylogeny of programmable Trp repressors.

Jared W Ellefson, Michael P Ledbetter, Andrew D Ellington

Abstract read
PubMed Publisher
In one paragraph

Article in Nature chemical biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed
3.5field-weighted citation impact, top 6% 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

40 citing papers in PubMed, 72 citations in OpenAlex.

  1. Review
  2. Review
  3. Review
  4. Article
  5. Why cellular computations challenge our design principles.Seminars in cell & developmental biology · 2025
    Review
  6. Article
  7. Review
  8. Review
  9. Article
  10. Article
  11. Article
  12. Review
  13. Review
  14. Article
  15. Article
  16. Transcription factor-based biosensors for screening and dynamic regulation.Frontiers in bioengineering and biotechnology · 2023
    Review
  17. Article
  18. Article
  19. Article
  20. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors at 3 institutions in 2 countries.

Jared W EllefsonDepartment of Molecular Biosciences, Center for Systems and Synthetic Biology, Austin, TX, USA. jaredwellefson@gmail.com.ORCID 0000-0002-0738-2166
Michael P LedbetterDepartment of Molecular Biosciences, Center for Systems and Synthetic Biology, Austin, TX, USA.
Andrew D EllingtonDepartment of Molecular Biosciences, Center for Systems and Synthetic Biology, Austin, TX, USA. ellingtonlab@gmail.com.
Scripps Research Institute · USSynlab Czech (Czechia) · CZSynthetic Genomics (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As synthetic regulatory programs expand in sophistication, an ever increasing number of biological components with predictable phenotypes is required. Regulators are often 'part mined' from a diverse, but uncharacterized, array of genomic sequences, often leading to idiosyncratic behavior. Here, we generate an entire synthetic phylogeny from the canonical allosteric transcription factor TrpR. Iterative rounds of positive and negative compartmentalized partnered replication (CPR) led to the exponential amplification of variants that responded with high affinity and specificity to halogenated tryptophan analogs and novel operator sites. Fourteen repressor variants were evolved with unique regulatory profiles across five operators and three ligands. The logic of individual repressors can be modularly programmed by creating heterodimeric fusions, resulting in single proteins that display logic functions, such as 'NAND'. Despite the evolutionarily limited regulatory role of TrpR, vast functional spaces exist around this highly conserved protein scaffold and can be harnessed to create synthetic regulatory programs.

Indexed as

PhylogenyAllosteric SiteBacterial ProteinsBiosensing TechniquesDirected Molecular EvolutionDNA ReplicationEscherichia coli ProteinsGenomicsPhenotypeProtein BindingProtein MultimerizationRepressor ProteinsSpecies SpecificityTryptophanBacterial ProteinsEscherichia coli ProteinsRepressor ProteinsTRPR protein, E coliTryptophan

Identifiers

PMID29483643
OpenAlexW2790208523

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.