Evidence map›Paper›PMID 35794089›Full record

ArticleNature communications2022

Programmable synthetic cell networks regulated by tuneable reaction rates.

Adrian Zambrano, Giorgio Fracasso, Mengfei Gao, Martina Ugrinic, Dishi Wang, Dietmar Appelhans, Andrew deMello, T-Y Dora Tang

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
2.9field-weighted citation impact, top 8% 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

13 citing papers in PubMed, 34 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Article
  6. Article
  7. Nucleated synthetic cells with genetically driven intercompartment communication.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  8. Review
  9. Article
  10. Review
  11. Biomimetic behaviors in hydrogel artificial cells through embedded organelles.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  12. Article
  13. 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

8 authors at 3 institutions in 2 countries.

Adrian Zambrano *Max Planck Institute of Molecular Cell Biology and Genetics, Pfotenhauerstraße 108, 01307, Dresden, Germany.
Giorgio Fracasso *Max Planck Institute of Molecular Cell Biology and Genetics, Pfotenhauerstraße 108, 01307, Dresden, Germany.
Mengfei Gao *Max Planck Institute of Molecular Cell Biology and Genetics, Pfotenhauerstraße 108, 01307, Dresden, Germany.ORCID 0000-0002-8061-3979
Martina UgrinicDepartment of Chemistry & Applied Biosciences, ETH Zurich, Vladimir Prelog Weg 1, 8093, Zurich, Switzerland.
Dishi WangLeibniz-Institut für Polymerforschung Dresden e.V., Hohe Straße 6, 01069, Dresden, Germany.
Dietmar AppelhansLeibniz-Institut für Polymerforschung Dresden e.V., Hohe Straße 6, 01069, Dresden, Germany.ORCID 0000-0003-4611-8963
Andrew deMelloDepartment of Chemistry & Applied Biosciences, ETH Zurich, Vladimir Prelog Weg 1, 8093, Zurich, Switzerland.
T-Y Dora TangMax Planck Institute of Molecular Cell Biology and Genetics, Pfotenhauerstraße 108, 01307, Dresden, Germany. tang@mpi-cbg.de.ORCID 0000-0001-9030-6991
Max Planck Institute of Molecular Cell Biology and Genetics · DEETH Zurich · CHLeibniz Institute of Polymer Research · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Coupled compartmentalised information processing and communication via molecular diffusion underpin network based population dynamics as observed in biological systems. Understanding how both compartmentalisation and communication can regulate information processes is key to rational design and control of compartmentalised reaction networks. Here, we integrate PEN DNA reactions into semi-permeable proteinosomes and characterise the effect of compartmentalisation on autocatalytic PEN DNA reactions. We observe unique behaviours in the compartmentalised systems which are not accessible under bulk conditions; for example, rates of reaction increase by an order of magnitude and reaction kinetics are more readily tuneable by enzyme concentrations in proteinosomes compared to buffer solution. We exploit these properties to regulate the reaction kinetics in two node compartmentalised reaction networks comprised of linear and autocatalytic reactions which we establish by bottom-up synthetic biology approaches.

Indexed as

Artificial CellsDNAKineticsSynthetic BiologyDNA

Identifiers

PMID35794089
PMCPMC9259615
OpenAlexW4283826135

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.