Evidence map›Paper›PMID 34561433›Full record

ArticleNature communications2021

Rapid prototyping and design of cybergenetic single-cell controllers.

Sant Kumar, Marc Rullan, Mustafa Khammash

Abstract read
In one paragraph

Article in Nature communications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Review
  2. Article
  3. Protein design accelerates the development and application of optogenetic tools.Computational and structural biotechnology journal · 2025
    Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
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  11. Regulation strategies for two-output biomolecular networks.Journal of the Royal Society, Interface · 2023
    Article
  12. Article
  13. Article
  14. Article
  15. Platforms for Optogenetic Stimulation and Feedback Control.Frontiers in bioengineering and biotechnology · 2022
    Review
  16. Cybergenetic control of microbial community composition.Frontiers in bioengineering and biotechnology · 2022
    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.

Sant KumarDepartment of Biosystems Science and Engineering (D-BSSE), ETH Zürich, Mattenstrasse 26, 4058, Basel, Switzerland.
Marc RullanDepartment of Biosystems Science and Engineering (D-BSSE), ETH Zürich, Mattenstrasse 26, 4058, Basel, Switzerland.
Mustafa KhammashDepartment of Biosystems Science and Engineering (D-BSSE), ETH Zürich, Mattenstrasse 26, 4058, Basel, Switzerland. mustafa.khammash@bsse.ethz.ch.ORCID 0000-0002-4855-9220

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The design and implementation of synthetic circuits that operate robustly in the cellular context is fundamental for the advancement of synthetic biology. However, their practical implementation presents challenges due to low predictability of synthetic circuit design and time-intensive troubleshooting. Here, we present the Cyberloop, a testing framework to accelerate the design process and implementation of biomolecular controllers. Cellular fluorescence measurements are sent in real-time to a computer simulating candidate stochastic controllers, which in turn compute the control inputs and feed them back to the controlled cells via light stimulation. Applying this framework to yeast cells engineered with optogenetic tools, we examine and characterize different biomolecular controllers, test the impact of non-ideal circuit behaviors such as dilution on their operation, and qualitatively demonstrate improvements in controller function with certain network modifications. From this analysis, we derive conditions for desirable biomolecular controller performance, thereby avoiding pitfalls during its biological implementation.

Indexed as

Stochastic ProcessesComputer SimulationFeedback, PhysiologicalGene Expression RegulationLightOptogeneticsSaccharomyces cerevisiaeSingle-Cell AnalysisSynthetic Biology

Identifiers

PMID34561433
PMCPMC8463601

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.