Evidence map›Paper›PMID 31636266›Full record

ArticleNature communications2019

Transcriptional programming using engineered systems of transcription factors and genetic architectures.

Ronald E Rondon, Thomas M Groseclose, Andrew E Short, Corey J Wilson

Abstract read
In one paragraph

Article in Nature communications, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing 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

29 citing papers in PubMed.

  1. Article
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  6. Review
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  16. Review
  17. Article
  18. Article
  19. Transcription factor-based biosensors for screening and dynamic regulation.Frontiers in bioengineering and biotechnology · 2023
    Review
  20. Talking to intractable microbes.Communications biology · 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

4 authors.

Ronald E RondonGeorgia Institute of Technology, School of Chemical & Biomolecular Engineering, Atlanta, GA, USA.ORCID http://orcid.org/0000-0002-6125-646X
Thomas M GrosecloseGeorgia Institute of Technology, School of Chemical & Biomolecular Engineering, Atlanta, GA, USA.ORCID http://orcid.org/0000-0001-7831-4294
Andrew E ShortGeorgia Institute of Technology, School of Chemical & Biomolecular Engineering, Atlanta, GA, USA.
Corey J WilsonGeorgia Institute of Technology, School of Chemical & Biomolecular Engineering, Atlanta, GA, USA. corey.wilson@chbe.gatech.ORCID http://orcid.org/0000-0003-3040-1676

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The control of gene expression is an important tool for metabolic engineering, the design of synthetic gene networks, and protein manufacturing. The most successful approaches to date are based on modulating mRNA synthesis via an inducible coupling to transcriptional effectors. Here we present a biological programming structure that leverages a system of engineered transcription factors and complementary genetic architectures. We use a modular design strategy to create 27 non-natural and non-synonymous transcription factors using the lactose repressor topology as a guide. To direct systems of engineered transcription factors we employ parallel and series genetic (DNA) architectures and confer fundamental and combinatorial logical control over gene expression. Here we achieve AND, OR, NOT, and NOR logical controls in addition to two non-canonical half-AND operations. The basic logical operations and corresponding parallel and series genetic architectures represent the building blocks for subsequent combinatorial programs, which display both digital and analog performance.

Indexed as

DNAGene Expression RegulationGene Regulatory NetworksGenetic EngineeringGenetic VectorsMetabolic EngineeringSynthetic BiologyTranscriptional ActivationTranscription FactorsTranscription, GeneticDNATranscription Factors

Identifiers

PMID31636266
PMCPMC6803630

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.