Evidence map›Paper›PMID 24831205›Full record

ArticlePLoS computational biology2014

In-vivo real-time control of protein expression from endogenous and synthetic gene networks.

Filippo Menolascina, Gianfranco Fiore, Emanuele Orabona, Luca De Stefano, Mike Ferry, Jeff Hasty, Mario di Bernardo, Diego di Bernardo

Abstract read
In one paragraph

Article in PLoS computational biology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing 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

34 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Cybergenetic control of microbial community composition.Frontiers in bioengineering and biotechnology · 2022
    Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Toward Engineering Biosystems With Emergent Collective Functions.Frontiers in bioengineering and biotechnology · 2020
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. Article
  19. Review
  20. 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

8 authors.

Filippo MenolascinaTeleThon Institute of Genetics and Medicine (TIGEM), Naples, Italy; Department of Electrical Engineering and Information Technology, University of Naples Federico II, Naples, Italy.
Gianfranco FioreTeleThon Institute of Genetics and Medicine (TIGEM), Naples, Italy; Department of Electrical Engineering and Information Technology, University of Naples Federico II, Naples, Italy.
Emanuele OrabonaInstitute of Microelectronics and Microsystems (IMM), CNR, Naples, Italy.
Luca De StefanoInstitute of Microelectronics and Microsystems (IMM), CNR, Naples, Italy.
Mike FerryDepartment of Bioengineering, University of California, San Diego, La Jolla, California, United States of America.
Jeff HastyDepartment of Bioengineering, University of California, San Diego, La Jolla, California, United States of America.
Mario di BernardoDepartment of Electrical Engineering and Information Technology, University of Naples Federico II, Naples, Italy; Department of Engineering Mathematics, University of Bristol, Bristol, United Kingdom.
Diego di BernardoTeleThon Institute of Genetics and Medicine (TIGEM), Naples, Italy; Department of Electrical Engineering and Information Technology, University of Naples Federico II, Naples, Italy.

Funding

Telethon TGM11SB1
6 · The paper itself

Abstract

We describe an innovative experimental and computational approach to control the expression of a protein in a population of yeast cells. We designed a simple control algorithm to automatically regulate the administration of inducer molecules to the cells by comparing the actual protein expression level in the cell population with the desired expression level. We then built an automated platform based on a microfluidic device, a time-lapse microscopy apparatus, and a set of motorized syringes, all controlled by a computer. We tested the platform to force yeast cells to express a desired fixed, or time-varying, amount of a reporter protein over thousands of minutes. The computer automatically switched the type of sugar administered to the cells, its concentration and its duration, according to the control algorithm. Our approach can be used to control expression of any protein, fused to a fluorescent reporter, provided that an external molecule known to (indirectly) affect its promoter activity is available.

Indexed as

Models, GeneticComputer SimulationComputer SystemsFungal ProteinsGene Expression Regulation, FungalGenes, SyntheticMetabolic EngineeringYeastsFungal Proteins

Identifiers

PMID24831205
PMCPMC4022480

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.