Evidence map›Paper›PMID 39080489›Full record

ArticleNature nanotechnology2024

Co-transcriptional production of programmable RNA condensates and synthetic organelles.

Giacomo Fabrini, Nada Farag, Sabrina Pia Nuccio, Shiyi Li, Jaimie Marie Stewart, Anli A Tang, Reece McCoy, Róisín M Owens, Paul W K Rothemund, Elisa Franco and 2 more

Abstract read
In one paragraph

Article in Nature nanotechnology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers.

0numbers the graph read from it
0cells of the map it votes in
48citing 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

48 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Combinatorial decision-making driven by multicomponent surface condensates.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Phase Separation of Nucleic Acids: Mechanisms, Properties, and Applications.Angewandte Chemie (International ed. in English) · 2026
    Review
  15. Review
  16. Article
  17. Diverse, distinct, and densely packed DNA nanostar droplets.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  18. Article
  19. Article
  20. Review
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

12 authors.

Giacomo FabriniDepartment of Chemistry, Imperial College London, London, UK.ORCID http://orcid.org/0000-0001-8601-1680
Nada FaragDepartment of Chemical Engineering and Biotechnology, University of Cambridge, Cambridge, UK.ORCID http://orcid.org/0000-0002-0361-5313
Sabrina Pia NuccioDepartment of Chemistry, Imperial College London, London, UK.
Shiyi LiDepartment of Bioengineering, University of California at Los Angeles, Los Angeles, CA, USA.ORCID http://orcid.org/0000-0002-7831-7900
Jaimie Marie StewartDepartment of Computing and Mathematical Sciences, California Institute of Technology, Pasadena, CA, USA.
Anli A TangDepartment of Mechanical and Aerospace Engineering, University of California at Los Angeles, Los Angeles, CA, USA.
Reece McCoyDepartment of Chemical Engineering and Biotechnology, University of Cambridge, Cambridge, UK.ORCID http://orcid.org/0000-0001-9086-7019
Róisín M OwensDepartment of Chemical Engineering and Biotechnology, University of Cambridge, Cambridge, UK.ORCID http://orcid.org/0000-0001-7856-2108
Paul W K RothemundDepartment of Computing and Mathematical Sciences, California Institute of Technology, Pasadena, CA, USA.ORCID http://orcid.org/0000-0002-1653-3202
Elisa FrancoDepartment of Bioengineering, University of California at Los Angeles, Los Angeles, CA, USA.ORCID http://orcid.org/0000-0003-1103-2668
Marco Di AntonioDepartment of Chemistry, Imperial College London, London, UK.ORCID http://orcid.org/0000-0002-7321-1867
Lorenzo Di MicheleDepartment of Chemistry, Imperial College London, London, UK. ld389@cam.ac.uk.ORCID http://orcid.org/0000-0002-1458-9747

Funding

Alfred P. Sloan Foundation G-2021-16831EC | Horizon 2020 Framework Programme (EU Framework Programme for Research and Innovation H2020) 851667RCUK | Biotechnology and Biological Sciences Research Council (BBSRC) BB/R011605/1RCUK | Engineering and Physical Sciences Research Council (EPSRC) EP/S022953/1RCUK | Engineering and Physical Sciences Research Council (EPSRC) EP/S023518/1Royal Society UF160152, URF\R\221009
6 · The paper itself

Abstract

Condensation of RNA and proteins is central to cellular functions, and the ability to program it would be valuable in synthetic biology and synthetic cell science. Here we introduce a modular platform for engineering synthetic RNA condensates from tailor-made, branched RNA nanostructures that fold and assemble co-transcriptionally. Up to three orthogonal condensates can form simultaneously and selectively accumulate fluorophores through embedded fluorescent light-up aptamers. The RNA condensates can be expressed within synthetic cells to produce membrane-less organelles with a controlled number and relative size, and showing the ability to capture proteins using selective protein-binding aptamers. The affinity between otherwise orthogonal nanostructures can be modulated by introducing dedicated linker constructs, enabling the production of bi-phasic RNA condensates with a prescribed degree of interphase mixing and diverse morphologies. The in situ expression of programmable RNA condensates could underpin the spatial organization of functionalities in both biological and synthetic cells.

Indexed as

OrganellesRNAAptamers, NucleotideArtificial CellsBiomolecular CondensatesNanostructuresSynthetic BiologyTranscription, GeneticAptamers, NucleotideRNA

Identifiers

PMID39080489
PMCPMC11567899

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.