Evidence map›Paper›PMID 40011432›Full record

ArticleNature communications2025

Self-growing protocell models in aqueous two-phase system induced by internal DNA replication reaction.

Yoshihiro Minagawa, Moe Yabuta, Masayuki Su'etsugu, Hiroyuki Noji

Abstract read
In one paragraph

Article in Nature communications, 2025. 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. Review
  3. Article
  4. Article
  5. Orchestrating Self-Replication in Artificial Cells with Digital Microfluidics.Small (Weinheim an der Bergstrasse, Germany) · 2025
    Article
  6. Article
  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

4 authors.

Yoshihiro Minagawa *Department of Applied Chemistry, School of Engineering, The University of Tokyo, Tokyo, Japan.
Moe Yabuta *Department of Applied Chemistry, School of Engineering, The University of Tokyo, Tokyo, Japan.
Masayuki Su'etsuguDepartment of Life Science, College of Science, Rikkyo University, Tokyo, Japan.ORCID http://orcid.org/0000-0001-6695-4032
Hiroyuki NojiDepartment of Applied Chemistry, School of Engineering, The University of Tokyo, Tokyo, Japan. hnoji@g.ecc.u-tokyo.ac.jp.ORCID http://orcid.org/0000-0002-8842-6836

Funding

MEXT | Japan Science and Technology Agency (JST) JPMJGX23B1MEXT | Japan Society for the Promotion of Science (JSPS) 22J22681MEXT | Japan Society for the Promotion of Science (JSPS) JP19H05624MEXT | JST | Core Research for Evolutional Science and Technology (CREST) JPMJCR18S6
6 · The paper itself

Abstract

The bottom-up reconstitution of self-growing artificial cells is a critical milestone toward realizing autonomy and evolvability. However, building artificial cells that exhibit self-growth coupled with internal replication of gene-encoding DNA has not been achieved yet. Here, we report self-growing artificial cell models based on dextran-rich droplets in an aqueous two-phase system of poly(ethylene glycol) (PEG) and dextran (DEX). Motivated by the finding that DNA induces the generation of DEX-rich droplets, we integrate DNA amplification system with DEX-rich droplets, which exhibited active self-growth. We implement the protocells with cell-free transcription-translation systems coupled with DNA amplification/replication, which also show active self-growth. Considering the simplicities in terms of the chemical composition and the mechanism, these results underscore the potential of DEX droplets as a foundational platform for engineering protocells, giving implications for the emergence of protocells under prebiotic conditions.

Indexed as

Artificial CellsDNADNA ReplicationDextransModels, BiologicalPolyethylene GlycolsWaterDextransDNAPolyethylene GlycolsWater

Identifiers

PMID40011432
PMCPMC11865487

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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.