Evidence map›Paper›PMID 27840078›Full record

ArticleCell systems2016

Design and Construction of Generalizable RNA-Protein Hybrid Controllers by Level-Matched Genetic Signal Amplification.

Yen-Hsiang Wang, Maureen McKeague, Tammy M Hsu, Christina D Smolke

Abstract read
In one paragraph

Article in Cell systems, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. ACS omega · 2023
    Review
  3. Recent trends in biocatalysis.Chemical Society reviews · 2021
    Review
  4. Article
  5. Article
  6. Review
  7. Dynamic metabolic control: towards precision engineering of metabolism.Journal of industrial microbiology & biotechnology · 2018
    Article
  8. Biomedical Applications of RNA-Based Devices.Current opinion in biomedical engineering · 2017
    Article
  9. 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.

Yen-Hsiang WangDepartment of Bioengineering, 443 Via Ortega, MC 4245, Stanford University, Stanford, CA 94305, USA.
Maureen McKeagueDepartment of Bioengineering, 443 Via Ortega, MC 4245, Stanford University, Stanford, CA 94305, USA.
Tammy M HsuDepartment of Bioengineering, 443 Via Ortega, MC 4245, Stanford University, Stanford, CA 94305, USA.
Christina D SmolkeDepartment of Bioengineering, 443 Via Ortega, MC 4245, Stanford University, Stanford, CA 94305, USA. Electronic address: csmolke@stanford.edu.

Funding

Synthetic Biology Platforms for Natural Product Discovery and BiosynthesisDP1AT007886 · NCCIH · STANFORD UNIVERSITY · PI SMOLKE, CHRISTINA D · 2012 to 2016
$3.9M
Frameworks for programming ligand-responsive RNA regulatory systemsR01GM086663 · NIGMS · STANFORD UNIVERSITY · PI ENDY, DREW · 2009 to 2024
$3.7M
NCCIH NIH HHS DP1 AT007886NIGMS NIH HHS R01 GM086663
6 · The paper itself

Abstract

For synthetic biology applications, protein-based transcriptional genetic controllers are limited in terms of orthogonality, modularity, and portability. Although ribozyme-based switches can address these issues, their current two-stage architectures and limited dynamic range hinder their broader incorporation into systems-level genetic controllers. Here, we address these challenges by implementing an RNA-protein hybrid controller with a three-stage architecture that introduces a transcription-based amplifier between an RNA sensor and a protein actuator. To facilitate the construction of these more complex circuits, we use a model-guided strategy to efficiently match the activities of stages. The presence of the amplifier enabled the three-stage controller to have up to 200-fold higher gene expression than its two-stage counterpart and made it possible to implement higher-order controllers, such as multilayer Boolean logic and feedback systems. The modularity inherent in the three-stage architecture along with the sensing flexibility of RNA devices presents a generalizable framework for designing and building sophisticated genetic control systems.

Indexed as

closed-loop feedbackgenetic amplifiersmodel-guided designRNA controllerssynthetic biology

Identifiers

PMID27840078
PMCPMC5182110

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.