Evidence map›Paper›PMID 32167761›Full record

ArticleACS synthetic biology2020

Multiplexed Gene Expression Tuning with Orthogonal Synthetic Gene Circuits.

Mariola Szenk, Terrence Yim, Gábor Balázsi

Abstract read
In one paragraph

Article in ACS synthetic biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Review
  6. Perspectives on Synthetic Protein Circuits in Mammalian Cells.Current opinion in biomedical engineering · 2024
    Article
  7. Article
  8. Review
  9. Adaptive DNA amplification of synthetic gene circuit opens a way to overcome cancer chemoresistance.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  10. Article
  11. Article
  12. Review
  13. Microorganisms · 2022
    Review
  14. Article
  15. Review
  16. Review
  17. Review
  18. Article
  19. 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

3 authors.

Mariola SzenkThe Louis and Beatrice Laufer Center for Physical and Quantitative Biology, Stony Brook University, Stony Brook, New York 11794, United States.
Terrence YimDepartment of Biomedical Engineering, Stony Brook University, Stony Brook, New York 11794, United States.
Gábor BalázsiThe Louis and Beatrice Laufer Center for Physical and Quantitative Biology, Stony Brook University, Stony Brook, New York 11794, United States.ORCID 0000-0002-6865-5818

Funding

Dynamics and evolution of synthetic and natural gene regulatory networksR35GM122561 · NIGMS · STATE UNIVERSITY NEW YORK STONY BROOK · PI BALAZSI, GABOR · 2017 to 2025
$4.2M
NIGMS NIH HHS R35 GM122561
6 · The paper itself

Abstract

Understanding the individual and joint contribution of multiple protein levels toward a phenotype requires precise and tunable multigene expression control. Here we introduce a pair of mammalian synthetic gene circuits that linearly and orthogonally control the expression of two reporter genes in mammalian cells with low variability in response to chemical inducers introduced into the growth medium. These gene expression systems can be used to simultaneously probe the individual and joint effects of two gene product concentrations on a cellular phenotype in basic research or biomedical applications.

Indexed as

Gene ExpressionGene Regulatory NetworksGenes, ReporterGenes, SyntheticGenetic EngineeringHEK293 CellsHumansSynthetic Biology2-dimensionalgene expression controllow variabilitymammalian synthetic gene circuitsorthogonal controlsynthetic biologytunable

Identifiers

PMID32167761
PMCPMC7197936

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.