Evidence map›Paper›PMID 18621837›Full record

ArticleBiophysical journal2008

Control of transcriptional variability by overlapping feed-forward regulatory motifs.

Alexander V Ratushny, Stephen A Ramsey, Oriol Roda, Yakun Wan, Jennifer J Smith, John D Aitchison

Open access · bronzeAbstract read
In one paragraph

Article in Biophysical journal, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
1.8field-weighted citation impact, top 16% 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

17 citing papers in PubMed, 26 citations in OpenAlex.

  1. Signaling dynamics and peroxisomes.Current opinion in cell biology · 2015
    Review
  2. Systems cell biology.The Journal of cell biology · 2014
    Review
  3. Article
  4. Peroxisomes take shape.Nature reviews. Molecular cell biology · 2013
    Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Feed-forward mechanism of converting biochemical cooperativity to mitotic processes at the kinetochore plate.Proceedings of the National Academy of Sciences of the United States of America · 2011
    Article
  10. Dark matters in AMD genetics: epigenetics and stochasticity.Investigative ophthalmology & visual science · 2011
    Review
  11. Article
  12. Mathematical modeling of biomolecular network dynamics.Methods in molecular biology (Clifton, N.J.) · 2011
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. 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

6 authors at 1 institution in 1 country.

Alexander V RatushnyInstitute for Systems Biology, Seattle, Washington, USA.
Stephen A Ramsey
Oriol Roda
Yakun Wan
Jennifer J Smith
John D Aitchison
Institute for Systems Biology · US

Funding

Quantitative Systems BiologyP50GM076547 · NIGMS · INSTITUTE FOR SYSTEMS BIOLOGY · PI BALIGA, NITIN S · 2006 to 2016
$30.6M
NEW TOOLS FOR EXPLORING THE DYNAMIC INTERACTOME(RMI)U54RR022220 · NCRR · ROCKEFELLER UNIVERSITY · PI ROUT, MICHAEL P · 2005 to 2011
$19.3M
The Role of Novel Peroxins in Peroxisomal BiogenesisR01GM067228 · NIGMS · INSTITUTE FOR SYSTEMS BIOLOGY · PI AITCHISON, JOHN D. · 2003 to 2007
$1.7M
NCRR NIH HHS RR022220NCRR NIH HHS U54 RR022220NIGMS NIH HHS GM067228NIGMS NIH HHS GM076547NIGMS NIH HHS R01 GM067228
6 · The paper itself

Abstract

In yeast, beta-oxidation of fatty acids (FAs) takes place in the peroxisome, an organelle whose size and number are controlled in response to environmental cues. The expression of genes required for peroxisome assembly and function is controlled by a transcriptional regulatory network that is induced by FAs such as oleate. The core FA-responsive transcriptional network consists of carbon source-sensing transcription factors that regulate key target genes through an overlapping feed-forward network motif (OFFNM). However, a systems-level understanding of the function of this network architecture in regulating dynamic FA-induced gene expression is lacking. The specific role of the OFFNM in regulating the dynamic and cell-population transcriptional response to oleate was investigated using a kinetic model comprised of four core transcription factor genes (ADR1, OAF1, PIP2, and OAF3) and two reporter genes (CTA1 and POT1) that are indicative of peroxisome induction. Simulations of the model suggest that 1), the intrinsic Adr1p-driven feed-forward loop reduces the steady-state expression variability of target genes; 2), the parallel Oaf3p-driven inhibitory feed-forward loop modulates the dynamic response of target genes to a transiently varying oleate concentration; and 3), heterodimerization of Oaf1p and Pip2p does not appear to have a noise-reducing function in the context of oleate-dependent expression of target genes. The OFFNM is highly overrepresented in the yeast regulome, suggesting that the specific functions described for the OFFNM, or other properties of this motif, provide a selective advantage.

Indexed as

Gene Regulatory NetworksTranscription, GeneticComputational BiologyComputer SimulationDimerizationGene DeletionGene Expression Regulation, FungalGenes, FungalModels, GeneticOleic AcidSaccharomyces cerevisiaeTranscriptional ActivationTranscription FactorsOleic AcidTranscription Factors

Identifiers

PMID18621837
PMCPMC2553142
OpenAlexW1973615490

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.