Evidence map›Paper›PMID 32895374›Full record

ArticleNature communications2020

Engineered systems of inducible anti-repressors for the next generation of biological programming.

Thomas M Groseclose, Ronald E Rondon, Zachary D Herde, Carlos A Aldrete, Corey J Wilson

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
1.9field-weighted citation impact, top 13% 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

25 citing papers in PubMed, 37 citations in OpenAlex.

  1. Article
  2. Programming Next-Generation Synthetic Biosensors by Genetic Circuit Design.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Review
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  11. Article
  12. Article
  13. Article
  14. Engineering activatable promoters for scalable and multi-input CRISPRa/i circuits.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  15. Article
  16. Article
  17. Catalyst-based biomolecular logic gates.Catalysts (Basel, Switzerland) · 2022
    Article
  18. Review
  19. Practical genetic control strategies for industrial bioprocesses.Journal of industrial microbiology & biotechnology · 2022
    Review
  20. The context matrix: Navigating biological complexity for advanced biodesign.Frontiers in bioengineering and biotechnology · 2022
    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

5 authors at 1 institution in 1 country.

Thomas M GrosecloseGeorgia Institute of Technology, School of Chemical & Biomolecular Engineering, Atlanta, GA, USA.ORCID http://orcid.org/0000-0001-7831-4294
Ronald E RondonGeorgia Institute of Technology, School of Chemical & Biomolecular Engineering, Atlanta, GA, USA.ORCID http://orcid.org/0000-0002-6125-646X
Zachary D HerdeGeorgia Institute of Technology, School of Chemical & Biomolecular Engineering, Atlanta, GA, USA.ORCID http://orcid.org/0000-0003-4135-1192
Carlos A AldreteGeorgia Institute of Technology, School of Chemical & Biomolecular Engineering, Atlanta, GA, USA.ORCID http://orcid.org/0000-0003-3795-4572
Corey J WilsonGeorgia Institute of Technology, School of Chemical & Biomolecular Engineering, Atlanta, GA, USA. corey.wilson@chbe.gatech.edu.ORCID http://orcid.org/0000-0003-3040-1676
Georgia Institute of Technology · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Traditionally engineered genetic circuits have almost exclusively used naturally occurring transcriptional repressors. Recently, non-natural transcription factors (repressors) have been engineered and employed in synthetic biology with great success. However, transcriptional anti-repressors have largely been absent with regard to the regulation of genes in engineered genetic circuits. Here, we present a workflow for engineering systems of non-natural anti-repressors. In this study, we create 41 inducible anti-repressors. This collection of transcription factors respond to two distinct ligands, fructose (anti-FruR) or D-ribose (anti-RbsR); and were complemented by 14 additional engineered anti-repressors that respond to the ligand isopropyl β-d-1-thiogalactopyranoside (anti-LacI). In turn, we use this collection of anti-repressors and complementary genetic architectures to confer logical control over gene expression. Here, we achieved all NOT oriented logical controls (i.e., NOT, NOR, NAND, and XNOR). The engineered transcription factors and corresponding series, parallel, and series-parallel genetic architectures represent a nascent anti-repressor based transcriptional programming structure.

Indexed as

BioengineeringEscherichia coli ProteinsGene ExpressionGene Regulatory NetworksLac RepressorsLigandsRepressor ProteinsSynthetic BiologyTranscription FactorsEscherichia coli ProteinsLac RepressorsLigandsRepressor ProteinsTranscription Factors

Identifiers

PMID32895374
PMCPMC7477573
OpenAlexW3083243111

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.