Evidence map›Paper›PMID 23736683›Full record

ArticleMolecular systems biology2013

Synthetic mammalian transgene negative autoregulation.

Vinay Shimoga, Jacob T White, Yi Li, Eduardo Sontag, Leonidas Bleris

Abstract read
In one paragraph

Article in Molecular systems biology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing 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

27 citing papers in PubMed.

  1. Review
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  6. Review
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  9. iScience · 2021
    Article
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  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

5 authors.

Vinay ShimogaBioengineering Department, The University of Texas at Dallas, Richardson, TX 75080, USA.
Jacob T White
Yi Li
Eduardo Sontag
Leonidas Bleris

Funding

Rewiring the miRNA-MDM2-p53 network to reactivate p53 functionR21CA170018 · NCI · UNIVERSITY OF TEXAS DALLAS · PI BLERIS, LEONIDAS, MA, LAN · 2012 to 2013
$354k
Probing the characteristics of genetic circuits integrated in mammalian cells andR15GM096271 · NIGMS · UNIVERSITY OF TEXAS DALLAS · PI BLERIS, LEONIDAS · 2011 to 2011
$306k
NCI NIH HHS R21 CA170018NIGMS NIH HHS 1R15GM096271NIGMS NIH HHS R15 GM096271
6 · The paper itself

Abstract

Biological networks contain overrepresented small-scale topologies, typically called motifs. A frequently appearing motif is the transcriptional negative-feedback loop, where a gene product represses its own transcription. Here, using synthetic circuits stably integrated in human kidney cells, we study the effect of negative-feedback regulation on cell-wide (extrinsic) and gene-specific (intrinsic) sources of uncertainty. We develop a theoretical approach to extract the two noise components from experiments and show that negative feedback results in significant total noise reduction by reducing extrinsic noise while marginally increasing intrinsic noise. We compare the results to simple negative regulation, where a constitutively transcribed transcription factor represses a reporter protein. We observe that the control architecture also reduces the extrinsic noise but results in substantially higher intrinsic fluctuations. We conclude that negative feedback is the most efficient way to mitigate the effects of extrinsic fluctuations by a sole regulatory wiring.

Indexed as

Gene Expression RegulationTranscription, GeneticTransgenesCell LineComputer SimulationFeedback, PhysiologicalGene Regulatory NetworksGreen Fluorescent ProteinsHomeostasisHumansLuminescent ProteinsModels, GeneticRed Fluorescent ProteinSignal TransductionGreen Fluorescent ProteinsLuminescent ProteinsRed Fluorescent Protein

Identifiers

PMID23736683
PMCPMC3964311

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.