Evidence map›Paper›PMID 27638200›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2016

Visualization of the spontaneous emergence of a complex, dynamic, and autocatalytic system.

Jaime Ortega-Arroyo, Andrew J Bissette, Philipp Kukura, Stephen P Fletcher

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Review
  9. Review
  10. Review
  11. Article
  12. Article
  13. Coupled Metabolic Cycles Allow Out-of-Equilibrium Autopoietic Vesicle Replication.Angewandte Chemie (International ed. in English) · 2020
    Article
  14. Article
  15. Article
  16. Article
  17. A chemically fuelled self-replicator.Nature communications · 2019
    Article
  18. Artificial intelligence exploration of unstable protocells leads to predictable properties and discovery of collective behavior.Proceedings of the National Academy of Sciences of the United States of America · 2018
    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.

Jaime Ortega-ArroyoPhysical and Theoretical Chemistry Laboratory, University of Oxford, Oxford OX1 3QZ, United Kingdom.
Andrew J BissetteChemistry Research Laboratory, University of Oxford, Oxford OX1 3TA, United Kingdom.ORCID 0000-0002-4062-4761
Philipp KukuraPhysical and Theoretical Chemistry Laboratory, University of Oxford, Oxford OX1 3QZ, United Kingdom; stephen.fletcher@chem.ox.ac.uk philipp.kukura@chem.ox.ac.uk.
Stephen P FletcherChemistry Research Laboratory, University of Oxford, Oxford OX1 3TA, United Kingdom stephen.fletcher@chem.ox.ac.uk philipp.kukura@chem.ox.ac.uk.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Autocatalytic chemical reactions are widely studied as models of biological processes and to better understand the origins of life on Earth. Minimal self-reproducing amphiphiles have been developed in this context and as an approach to de novo "bottom-up" synthetic protocells. How chemicals come together to produce living systems, however, remains poorly understood, despite much experimentation and speculation. Here, we use ultrasensitive label-free optical microscopy to visualize the spontaneous emergence of an autocatalytic system from an aqueous mixture of two chemicals. Quantitative, in situ nanoscale imaging reveals heterogeneous self-reproducing aggregates and enables the real-time visualization of the synthesis of new aggregates at the reactive interface. The aggregates and reactivity patterns observed vary together with differences in the respective environment. This work demonstrates how imaging of chemistry at the nanoscale can provide direct insight into the dynamic evolution of nonequilibrium systems across molecular to microscopic length scales.

Indexed as

autocatalysisemergenceinterferometric scatteringlabel-free microscopyprotocells

Identifiers

PMID27638200
PMCPMC5056079

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.