Evidence map›Paper›PMID 21811230›Full record

ArticleMolecular systems biology2011

Synthetic incoherent feedforward circuits show adaptation to the amount of their genetic template.

Leonidas Bleris, Zhen Xie, David Glass, Asa Adadey, Eduardo Sontag, Yaakov Benenson

Abstract read
In one paragraph

Article in Molecular systems biology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 96 papers.

0numbers the graph read from it
0cells of the map it votes in
96citing 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

96 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. miRNA modules for precise, tunable control of gene expression.bioRxiv : the preprint server for biology · 2025
    Article
  6. Review
  7. Cumulative dose responses for adapting biological systems.Journal of the Royal Society, Interface · 2025
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Accelerating Diverse Cell-Based Therapies Through Scalable Design.Annual review of chemical and biomolecular engineering · 2024
    Review
  14. Article
  15. Review
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article

36 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Leonidas BlerisDepartment of Bioengineering and Department of Electrical Engineering, University of Texas at Dallas, Richardson, TX, USA.
Zhen Xie
David Glass
Asa Adadey
Eduardo Sontag
Yaakov Benenson

Funding

THEORETICAL ANALYSIS OF FUNCTIONAL MODULESP50GM068763 · NIGMS · HARVARD UNIVERSITY · PI BENENSON, YAAKOV · 2003 to 2012
$28.9M
Collaborative Research: Multistability in Biological NetworksR01GM086881 · NIGMS · UNIVERSITY OF WISCONSIN-MADISON · PI CRACIUN, GHEORGHE · 2008 to 2012
$1.5M
NIGMS NIH HHS 1R01GM086881NIGMS NIH HHS GM068763NIGMS NIH HHS P50 GM068763NIGMS NIH HHS R01 GM086881
6 · The paper itself

Abstract

Natural and synthetic biological networks must function reliably in the face of fluctuating stoichiometry of their molecular components. These fluctuations are caused in part by changes in relative expression efficiency and the DNA template amount of the network-coding genes. Gene product levels could potentially be decoupled from these changes via built-in adaptation mechanisms, thereby boosting network reliability. Here, we show that a mechanism based on an incoherent feedforward motif enables adaptive gene expression in mammalian cells. We modeled, synthesized, and tested transcriptional and post-transcriptional incoherent loops and found that in all cases the gene product adapts to changes in DNA template abundance. We also observed that the post-transcriptional form results in superior adaptation behavior, higher absolute expression levels, and lower intrinsic fluctuations. Our results support a previously hypothesized endogenous role in gene dosage compensation for such motifs and suggest that their incorporation in synthetic networks will improve their robustness and reliability.

Indexed as

Gene DosageGene Regulatory NetworksTemplates, GeneticDatabases, GeneticGene Expression RegulationHEK293 CellsHumansMicroRNAsModels, BiologicalPlasmidsRNA InterferenceSynthetic BiologyTranscription FactorsTransfectionMicroRNAsTranscription Factors

Identifiers

PMID21811230
PMCPMC3202791

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LicenceCC BY-NC-SA
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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.