Evidence map›Paper›PMID 30850530›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2019

Cell-free gene-regulatory network engineering with synthetic transcription factors.

Zoe Swank, Nadanai Laohakunakorn, Sebastian J Maerkl

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers.

0numbers the graph read from it
0cells of the map it votes in
41citing 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

41 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Review
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  7. Article
  8. Applications of cell free protein synthesis in protein design.Protein science : a publication of the Protein Society · 2024
    Review
  9. Article
  10. 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
  11. Article
  12. Bottom-Up Synthetic Biology Using Cell-Free Protein Synthesis.Advances in biochemical engineering/biotechnology · 2023
    Review
  13. Cell-Free Production Systems in Droplet Microfluidics.Advances in biochemical engineering/biotechnology · 2023
    Review
  14. Article
  15. Article
  16. Article
  17. Review
  18. Article
  19. Review
  20. Review
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

3 authors.

Zoe SwankInstitute of Bioengineering, School of Engineering, École Polytechnique Fédérale de Lausanne, 1015 Lausanne, Switzerland.
Nadanai LaohakunakornInstitute of Bioengineering, School of Engineering, École Polytechnique Fédérale de Lausanne, 1015 Lausanne, Switzerland.ORCID 0000-0002-6446-482X
Sebastian J MaerklInstitute of Bioengineering, School of Engineering, École Polytechnique Fédérale de Lausanne, 1015 Lausanne, Switzerland sebastian.maerkl@epfl.ch.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Gene-regulatory networks are ubiquitous in nature and critical for bottom-up engineering of synthetic networks. Transcriptional repression is a fundamental function that can be tuned at the level of DNA, protein, and cooperative protein-protein interactions, necessitating high-throughput experimental approaches for in-depth characterization. Here, we used a cell-free system in combination with a high-throughput microfluidic device to comprehensively study the different tuning mechanisms of a synthetic zinc-finger repressor library, whose affinity and cooperativity can be rationally engineered. The device is integrated into a comprehensive workflow that includes determination of transcription-factor binding-energy landscapes and mechanistic modeling, enabling us to generate a library of well-characterized synthetic transcription factors and corresponding promoters, which we then used to build gene-regulatory networks de novo. The well-characterized synthetic parts and insights gained should be useful for rationally engineering gene-regulatory networks and for studying the biophysics of transcriptional regulation.

Indexed as

Cell-Free SystemGene Regulatory NetworksGene LibraryGenetic EngineeringLab-On-A-Chip DevicesPromoter Regions, GeneticTranscription FactorsZinc FingersTranscription Factorsbiophysicscell-free synthetic biologygene regulatory networksynthetic transcription factorstranscriptional regulation

Identifiers

PMID30850530
PMCPMC6442555

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.