Evidence map›Paper›PMID 39014158›Full record

ArticleNature chemistry2024

Template-based copying in chemically fuelled dynamic combinatorial libraries.

Christine M E Kriebisch, Ludwig Burger, Oleksii Zozulia, Michele Stasi, Alexander Floroni, Dieter Braun, Ulrich Gerland, Job Boekhoven

Abstract read
In one paragraph

Article in Nature chemistry, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Article
  2. Article
  3. Regulating Promiscuous Catalysis via Substrate-Induced Transient Assembly.Angewandte Chemie (International ed. in English) · 2026
    Article
  4. Review
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  11. Article
  12. Review
  13. Article
  14. A template for artificial life.Nature chemistry · 2024
    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

8 authors.

Christine M E KriebischSchool of Natural Sciences, Department of Bioscience, Technical University of Munich, Garching, Germany.ORCID 0000-0002-9713-0295
Ludwig BurgerSchool of Natural Sciences, Department of Bioscience, Technical University of Munich, Garching, Germany.ORCID 0009-0000-0699-6302
Oleksii ZozuliaSchool of Natural Sciences, Department of Bioscience, Technical University of Munich, Garching, Germany.ORCID 0000-0003-3803-4225
Michele StasiSchool of Natural Sciences, Department of Bioscience, Technical University of Munich, Garching, Germany.ORCID 0000-0002-0800-9515
Alexander FloroniSystems Biophysics Center for Nano-Science and Origins Cluster Initiative, Department of Physics, Ludwig-Maximilians-Universität München, Munich, Germany.
Dieter BraunSystems Biophysics Center for Nano-Science and Origins Cluster Initiative, Department of Physics, Ludwig-Maximilians-Universität München, Munich, Germany.ORCID 0000-0001-7751-1448
Ulrich GerlandSchool of Natural Sciences, Department of Bioscience, Technical University of Munich, Garching, Germany.ORCID 0000-0002-0859-6422
Job BoekhovenSchool of Natural Sciences, Department of Bioscience, Technical University of Munich, Garching, Germany. job.boekhoven@tum.de.ORCID 0000-0002-9126-2430

Funding

Deutsche Forschungsgemeinschaft (German Research Foundation) EXC-2094-390783311Deutsche Forschungsgemeinschaft (German Research Foundation) EXC-2094-390883311EC | EC Seventh Framework Programm | FP7 Ideas: European Research Council (FP7-IDEAS-ERC - Specific Programme: 'Ideas' Implementing the Seventh Framework Programme of the European Community for Research, Technological Development and Demonstration Activities (2007 to 2013)) 852187EC | EU Framework Programme for Research and Innovation H2020 | H2020 Priority Excellent Science | H2020 European Research Council (H2020 Excellent Science - European Research Council) 852187Volkswagen Foundation (VolkswagenStiftung) Life? program
6 · The paper itself

Abstract

One of science's greatest challenges is determining how life can spontaneously emerge from a mixture of molecules. A complicating factor is that life and its molecules are inherently unstable-RNA and proteins are prone to hydrolysis and denaturation. For the de novo synthesis of life or to better understand its emergence at its origin, selection mechanisms are needed for unstable molecules. Here we present a chemically fuelled dynamic combinatorial library to model RNA oligomerization and deoligomerization and shine new light on selection and purification mechanisms under kinetic control. In the experiments, oligomers can only be sustained by continuous production. Hybridization is a powerful tool for selecting unstable molecules, offering feedback on oligomerization and deoligomerization rates. Moreover, we find that templation can be used to purify libraries of oligomers. In addition, template-assisted formation of oligomers within coacervate-based protocells changes its compartment's physical properties, such as their ability to fuse. Such reciprocal coupling between oligomer production and physical properties is a key step towards synthetic life.

Indexed as

Combinatorial Chemistry TechniquesRNAKineticsRNA

Identifiers

PMID39014158
PMCPMC11321992

What OpenQuestion holds

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LicenceCC BY
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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.