Evidence map›Paper›PMID 23651072›Full record

ArticleACS synthetic biology2012

Feedback control of protein expression in mammalian cells by tunable synthetic translational inhibition.

James A Stapleton, Kei Endo, Yoshihiko Fujita, Karin Hayashi, Masahiro Takinoue, Hirohide Saito, Tan Inoue

Abstract readLetter
In one paragraph

Article in ACS synthetic biology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers.

0numbers the graph read from it
0cells of the map it votes in
43citing papers in PubMed
2.5field-weighted citation impact, top 10% of its field
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

43 citing papers in PubMed, 100 citations in OpenAlex.

  1. Article
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  4. A genetic mammalian proportional-integral feedback control circuit for robust and precise gene regulation.Proceedings of the National Academy of Sciences of the United States of America · 2022
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  15. Using sliding mode observers to estimateIET systems biology · 2020
    Article
  16. Article
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  18. Auto-regulatory feedback by RNA-binding proteins.Journal of molecular cell biology · 2019
    Review
  19. Article
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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

7 authors at 3 institutions in 1 country.

James A Stapleton
Kei Endo
Yoshihiko Fujita
Karin Hayashi
Masahiro Takinoue
Hirohide Saito
Tan Inoue
Japan Science and Technology Agency · JPKyoto University · JPTokyo Institute of Technology · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Feedback regulation plays a crucial role in dynamic gene expression in nature, but synthetic translational feedback systems have yet to be demonstrated. Here we use an RNA/protein interaction-based synthetic translational switch to create a feedback system that tightly controls the expression of proteins of interest in mammalian cells. Feedback is mediated by modified ribosomal L7Ae proteins, which bind a set of RNA motifs with a range of affinities. We designed these motifs into L7Ae-encoding mRNA. Newly translated L7Ae binds its own mRNA, inhibiting further translation. This inhibition tightly feedback-regulates the concentration of L7Ae and any fusion partner of interest. A mathematical model predicts system behavior as a function of RNA/protein affinity. We further demonstrate that the L7Ae protein can simultaneously and tunably regulate the expression of multiple proteins of interest by binding RNA control motifs built into each mRNA, allowing control over the coordinated expression of protein networks.

Indexed as

Feedback, PhysiologicalGene Expression RegulationHeLa CellsHumansProtein BiosynthesisProtein EngineeringProteinsRecombinant ProteinsRibosomal ProteinsRNA, MessengerSynthetic BiologyProteinsRecombinant ProteinsRibosomal ProteinsRNA, MessengerRPL7 protein, human

Identifiers

PMID23651072
PMCPMC4165468
OpenAlexW2042102692

What OpenQuestion holds

Textmetadata
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.