Evidence map›Paper›PMID 36697697›Full record

ArticleCommunications chemistry2021

Photochemically induced cyclic morphological dynamics via degradation of autonomously produced, self-assembled polymer vesicles.

Chenyu Lin, Sai Krishna Katla, Juan Pérez-Mercader

Abstract read
In one paragraph

Article in Communications chemistry, 2021. 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. Self-reproduction as an autonomous process of growth and reorganization in fully abiotic, artificial and synthetic cells.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  3. Article
  4. Article
  5. Article
  6. Triggered Polymersome Fusion.Journal of the American Chemical Society · 2023
    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

3 authors.

Chenyu LinDepartment of Earth and Planetary Sciences, Harvard University, Cambridge, MA, United States.ORCID http://orcid.org/0000-0002-4579-5113
Sai Krishna KatlaDepartment of Earth and Planetary Sciences, Harvard University, Cambridge, MA, United States.ORCID http://orcid.org/0000-0001-8365-5376
Juan Pérez-MercaderDepartment of Earth and Planetary Sciences, Harvard University, Cambridge, MA, United States. jperezmercader@fas.harvard.edu.ORCID http://orcid.org/0000-0001-6278-9068

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Autonomous and out-of-equilibrium vesicles synthesised from small molecules in a homogeneous aqueous medium are an emerging class of dynamically self-assembled systems with considerable potential for engineering natural life mimics. Here we report on the physico-chemical mechanism behind a dynamic morphological evolution process through which self-assembled polymeric structures autonomously booted from a homogeneous mixture, evolve from micelles to giant vesicles accompanied by periodic growth and implosion cycles when exposed to oxygen under light irradiation. The system however formed nano-objects or gelation under poor oxygen conditions or when heated. We determined the cause to be photoinduced chemical degradation within hydrated polymer cores inducing osmotic water influx and the subsequent morphological dynamics. The process also led to an increase in the population of polymeric objects through system self-replication. This study offers a new path toward the design of chemically self-assembled systems and their potential application in autonomous material artificial simulation of living systems.

Identifiers

PMID36697697
PMCPMC9814595

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.