Evidence map›Paper›PMID 39572548›Full record

ArticleNature communications2024

Phase-separating peptide coacervates with programmable material properties for universal intracellular delivery of macromolecules.

Yue Sun, Xi Wu, Jianguo Li, Milad Radiom, Raffaele Mezzenga, Chandra Shekhar Verma, Jing Yu, Ali Miserez

Abstract read
In one paragraph

Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers.

0numbers the graph read from it
0cells of the map it votes in
45citing 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

45 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. Review
  5. Reversible Redox-Responsive Peptide Condensates With RNA.Chembiochem : a European journal of chemical biology · 2026
    Article
  6. Review
  7. Article
  8. Review
  9. Oligopeptides/DNA Coacervate Droplets as Macromolecular Delivery Microcarriers.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  10. Review
  11. Reversible Nucleolar Complex Coacervation by Short Cationic Peptides.Journal of the American Chemical Society · 2026
    Article
  12. Article
  13. MgChem & bio engineering · 2026
    Article
  14. Review
  15. Article
  16. Article
  17. Coacervate-Mediated Lysosome-Targeting Antibody Delivery for Protein Degradation.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  18. Tissue-specific gene delivery approaches.Bioengineering & translational medicine · 2026
    Review
  19. Review
  20. 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.

Yue SunCenter for Sustainable Materials (SusMat), School of Materials Science and Engineering, Nanyang Technological University, 639798, Singapore, Singapore.
Xi WuCenter for Sustainable Materials (SusMat), School of Materials Science and Engineering, Nanyang Technological University, 639798, Singapore, Singapore.
Jianguo LiBioinformatics Institute, Agency for Science, Technology and Research, 30 Biopolis Street, Matrix, 138671, Singapore, Singapore.ORCID 0000-0002-5544-6451
Milad RadiomDepartment of Health Sciences & Technology, ETH Zurich, 8092, Zürich, Switzerland.ORCID 0000-0002-6339-9288
Raffaele MezzengaCenter for Sustainable Materials (SusMat), School of Materials Science and Engineering, Nanyang Technological University, 639798, Singapore, Singapore.ORCID 0000-0002-5739-2610
Chandra Shekhar VermaBioinformatics Institute, Agency for Science, Technology and Research, 30 Biopolis Street, Matrix, 138671, Singapore, Singapore.ORCID 0000-0003-0733-9798
Jing YuCenter for Sustainable Materials (SusMat), School of Materials Science and Engineering, Nanyang Technological University, 639798, Singapore, Singapore.ORCID 0000-0002-4288-951X
Ali MiserezCenter for Sustainable Materials (SusMat), School of Materials Science and Engineering, Nanyang Technological University, 639798, Singapore, Singapore. ali.miserez@ntu.edu.sg.ORCID 0000-0003-0864-8170

Funding

Ministry of Education - Singapore (MOE) Academic Research Fund (AcRF) Tier 3 grant (MOE 2019-T3-1-012)National Research Foundation Singapore (National Research Foundation-Prime Minister's office, Republic of Singapore) National Research Fellowship (NRF-NRFF11-2019-0004)
6 · The paper itself

Abstract

Phase-separating peptides (PSPs) self-assembling into coacervate microdroplets (CMs) are a promising class of intracellular delivery vehicles that can release macromolecular modalities deployed in a wide range of therapeutic treatments. However, the molecular grammar governing intracellular uptake and release kinetics of CMs remains elusive. Here, we systematically manipulate the sequence of PSPs to unravel the relationships between their molecular structure, the physical properties of the resulting CMs, and their delivery efficacy. We show that a few amino acid alterations are sufficient to modulate the viscoelastic properties of CMs towards either a gel-like or a liquid-like state as well as their binding interaction with cellular membranes, collectively enabling to tune the kinetics of intracellular cargo release. We also demonstrate that the optimized PSPs CMs display excellent transfection efficiency in hard-to-transfect cells such as primary fibroblasts and immune cells. Our findings provide molecular guidelines to precisely program the material properties of PSP CMs and achieve tunable cellular uptake and release kinetics depending on the cargo modality, with broad implications for therapeutic applications such as protein, gene, and immune cell therapies.

Indexed as

PeptidesAnimalsCell MembraneDrug Delivery SystemsFibroblastsHumansKineticsMacromolecular SubstancesTransfectionMacromolecular SubstancesPeptides

Identifiers

PMID39572548
PMCPMC11582321

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.