Evidence map›Paper›PMID 34386726›Full record

ArticleiScience2021

System concentration shift as a regulator of transcription-translation system within liposomes.

Toshiki Akui, Kei Fujiwara, Gaku Sato, Masahiro Takinoue, Shin-Ichiro M Nomura, Nobuhide Doi

Abstract read
In one paragraph

Article in iScience, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Activation of a dilutedSTAR protocols · 2021
    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.

Toshiki AkuiDepartment of Biosciences & Informatics, Keio University, Yokohama 223-8522, Japan.
Kei FujiwaraDepartment of Biosciences & Informatics, Keio University, Yokohama 223-8522, Japan.
Gaku SatoDepartment of Biosciences & Informatics, Keio University, Yokohama 223-8522, Japan.
Masahiro TakinoueDepartment of Computer Science, Tokyo Institute of Technology, Yokohama, Kanagawa 226-8502, Japan.
Shin-Ichiro M NomuraDepartment of Robotics, Graduate School of Engineering, Tohoku University, Sendai 980-8579, Japan.
Nobuhide DoiDepartment of Biosciences & Informatics, Keio University, Yokohama 223-8522, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Biochemical systems in living cells have their optimum concentration ratio among each constituent element to maintain their functionality. However, in the case of the biochemical system with complex interactions and feedbacks among elements, their activity as a system greatly changes by the concentration shift of the entire system irrespective of the concentration ratio among elements. In this study, by using a transcription-translation (TX-TL) system as the subject, we illustrate the principle of the nonlinear relationship between the system concentration and the activity of the system. Our experiment and simulation showed that shifts of the system concentration of TX-TL by dilution and concentration works as a switch of activity and demonstrated its ability to induce a biochemical system to confer the permeability of small molecules to liposomes. These results contribute to the creation of artificial cells with the switch and provide an insight into the emergence of protocells.

Indexed as

Biological sciencesCell biologySystems biology

Identifiers

PMID34386726
PMCPMC8346668

What OpenQuestion holds

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Registered trials

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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.