Evidence map›Paper›PMID 23972857›Full record

ArticleBiophysical journal2013

Ultrasensitivity by molecular titration in spatially propagating enzymatic reactions.

Sergey N Semenov, Albert J Markvoort, Wouter B L Gevers, Aigars Piruska, Tom F A de Greef, Wilhelm T S Huck

Abstract read
In one paragraph

Article in Biophysical journal, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Computing Arithmetic Functions Using Immobilised Enzymatic Reaction Networks.Angewandte Chemie (International ed. in English) · 2023
    Article
  3. Reaction-Diffusion Patterning of DNA-Based Artificial Cells.Journal of the American Chemical Society · 2022
    Article
  4. Reverse and forward engineering of protein pattern formation.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2018
    Article
  5. Article
  6. Grip on complexity in chemical reaction networks.Beilstein journal of organic chemistry · 2017
    Review
  7. 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.

Sergey N SemenovRadboud University Nijmegen, Institute for Molecules and Materials, Nijmegen, The Netherlands.
Albert J Markvoort
Wouter B L Gevers
Aigars Piruska
Tom F A de Greef
Wilhelm T S Huck

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Delineating design principles of biological systems by reconstitution of purified components offers a platform to gauge the influence of critical physicochemical parameters on minimal biological systems of reduced complexity. Here we unravel the effect of strong reversible inhibitors on the spatiotemporal propagation of enzymatic reactions in a confined environment in vitro. We use micropatterned, enzyme-laden agarose gels which are stamped on polyacrylamide films containing immobilized substrates and reversible inhibitors. Quantitative fluorescence imaging combined with detailed numerical simulations of the reaction-diffusion process reveal that a shallow gradient of enzyme is converted into a steep product gradient by addition of strong inhibitors, consistent with a mathematical model of molecular titration. The results confirm that ultrasensitive and threshold effects at the molecular level can convert a graded input signal to a steep spatial response at macroscopic length scales.

Indexed as

Models, BiologicalEnzyme InhibitorsEnzymesMolecular WeightReproducibility of ResultsSpatio-Temporal AnalysisEnzyme InhibitorsEnzymes

Identifiers

PMID23972857
PMCPMC3752114

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.