Evidence map›Paper›PMID 18632760›Full record

ArticleNucleic acids research2008

Intronically encoded siRNAs improve dynamic range of mammalian gene regulation systems and toggle switch.

David Greber, Marie Daoud El-Baba, Martin Fussenegger

Abstract read
In one paragraph

Article in Nucleic acids research, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Mammalian synthetic biology for studying the cell.The Journal of cell biology · 2017
    Review
  9. Article
  10. Mammalian synthetic biology: emerging medical applications.Journal of the Royal Society, Interface · 2015
    Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Review
  16. Review
  17. An engineered mammalian band-pass network.Nucleic acids research · 2010
    Article
  18. Article
  19. Article
  20. 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.

David GreberInstitute for Chemical and Bioengineering, ETH Zurich, HCI F115, Wolfgang-Pauli-Strasse 10, CH-8093 Zurich, Switzerland.
Marie Daoud El-Baba
Martin Fussenegger

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Applications of conditional gene expression, whether for therapeutic or basic research purposes, are increasingly requiring mammalian gene control systems that exhibit far tighter control properties. While numerous approaches have been used to improve the widely used Tet-regulatory system, many applications, particularly with respect to the engineering of synthetic gene networks, will require a broader range of tightly performing gene control systems. Here, a generically applicable approach is described that utilizes intronically encoded siRNA on the relevant transregulator construct, and siRNA sequence-specific tags on the reporter construct, to minimize basal gene activity in the off-state of a range of common gene control systems. To demonstrate tight control of residual expression the approach was successfully used to conditionally express the toxic proteins RipDD and Linamarase. The intronic siRNA concept was also extended to create a new generation of compact, single-vector, autoinducible siRNA vectors. Finally, using improved regulation systems a mammalian epigenetic toggle switch was engineered that exhibited superior in vitro and in vivo induction characteristics in mice compared to the equivalent non-intronic system.

Indexed as

RNA InterferenceAnimalsbeta-GlucosidaseCell LineCHO CellsCRADD Signaling Adaptor ProteinCricetinaeCricetulusEpigenesis, GeneticGene Expression RegulationGenes, ReporterGenetic EngineeringGenetic VectorsHeLa CellsHumansIntronsbeta-GlucosidaseCRADD Signaling Adaptor Proteincyanogenic beta-glucosidaseRNA, Small InterferingTrans-Activators

Identifiers

PMID18632760
PMCPMC2532736

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.