Evidence map›Paper›PMID 26594238›Full record

ArticleJournal of biological engineering2015

Engineering dynamic cell cycle control with synthetic small molecule-responsive RNA devices.

Kathy Y Wei, Christina D Smolke

Abstract read
In one paragraph

Article in Journal of biological engineering, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Review
  2. Article
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  10. Review
  11. Biomedical Applications of RNA-Based Devices.Current opinion in biomedical engineering · 2017
    Article
  12. Computational Methods for Modeling Aptamers and Designing Riboswitches.International journal of molecular sciences · 2017
    Review
  13. Review
  14. Mammalian synthetic biology for studying the cell.The Journal of cell biology · 2017
    Review
  15. RNA-based gene circuits for cell regulation.Proceedings of the Japan Academy. Series B, Physical and biological sciences · 2016
    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

2 authors.

Kathy Y WeiDepartment of Bioengineering, Stanford University, 443 Via Ortega, MC 4245, Stanford, CA 94305 USA.
Christina D SmolkeDepartment of Bioengineering, Stanford University, 443 Via Ortega, MC 4245, Stanford, CA 94305 USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe cell cycle plays a key role in human health and disease, including development and cancer. The ability to easily and reversibly control the mammalian cell cycle could mean improved cellular reprogramming, better tools for studying cancer, more efficient gene therapy, and improved heterologous protein production for medical or industrial applications.

resultsWe engineered RNA-based control devices to provide specific and modular control of gene expression in response to exogenous inputs in living cells. Specifically, we identified key regulatory nodes that arrest U2-OS cells in the G0/1 or G2/M phases of the cycle. We then optimized the most promising key regulators and showed that, when these optimized regulators are placed under the control of a ribozyme switch, we can inducibly and reversibly arrest up to ~80 % of a cellular population in a chosen phase of the cell cycle. Characterization of the reliability of the final cell cycle controllers revealed that the G0/1 control device functions reproducibly over multiple experiments over several weeks.

conclusionsTo our knowledge, this is the first time synthetic RNA devices have been used to control the mammalian cell cycle. This RNA platform represents a general class of synthetic biology tools for modular, dynamic, and multi-output control over mammalian cells.

Indexed as

cell cyclecellular devicesRNA engineeringSynthetic biology

Identifiers

PMID26594238
PMCPMC4654890

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Registered trials

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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.