Evidence map›Paper›PMID 31308223›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2019

Encapsulation of hydrophobic components in dendrimersomes and decoration of their surface with proteins and nucleic acids.

Paola Torre, Qi Xiao, Irene Buzzacchera, Samuel E Sherman, Khosrow Rahimi, Nina Yu Kostina, Cesar Rodriguez-Emmenegger, Martin Möller, Christopher J Wilson, Michael L Klein and 2 more

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2019. 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. Article
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  11. Review
  12. Article
  13. Advancing synthetic biology through cell-free protein synthesis.Computational and structural biotechnology journal · 2023
    Review
  14. Review
  15. Ionic Combisomes: A New Class of Biomimetic Vesicles to Fuse with Life.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2022
    Article
  16. USE OF ARTIFICIAL CELLS AS DRUG CARRIERS.Materials chemistry frontiers · 2021
    Article
  17. Nanovesicles displaying functional linear and branched oligomannose self-assembled from sequence-defined Janus glycodendrimers.Proceedings of the National Academy of Sciences of the United States of America · 2020
    Article
  18. 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

12 authors.

Paola TorreDepartment of Cell and Developmental Biology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104-6058.
Qi XiaoRoy & Diana Vagelos Laboratories, Department of Chemistry, University of Pennsylvania, Philadelphia, PA 19104-6323.ORCID 0000-0002-6470-0407
Irene BuzzaccheraRoy & Diana Vagelos Laboratories, Department of Chemistry, University of Pennsylvania, Philadelphia, PA 19104-6323.
Samuel E ShermanRoy & Diana Vagelos Laboratories, Department of Chemistry, University of Pennsylvania, Philadelphia, PA 19104-6323.
Khosrow RahimiDWI-Leibniz Institute for Interactive Materials, 52074 Aachen, Germany.
Nina Yu KostinaDWI-Leibniz Institute for Interactive Materials, 52074 Aachen, Germany.
Cesar Rodriguez-EmmeneggerDWI-Leibniz Institute for Interactive Materials, 52074 Aachen, Germany.
Martin MöllerDWI-Leibniz Institute for Interactive Materials, 52074 Aachen, Germany.
Christopher J WilsonNovioSense B.V., 6534 AT Nijmegen, The Netherlands.
Michael L KleinInstitute of Computational Molecular Science, Temple University, Philadelphia, PA 19122; mlklein@temple.edu mattgood@pennmedicine.upenn.edu percec@sas.upenn.edu.
Matthew C GoodDepartment of Cell and Developmental Biology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104-6058; mlklein@temple.edu mattgood@pennmedicine.upenn.edu percec@sas.upenn.edu.
Virgil PercecRoy & Diana Vagelos Laboratories, Department of Chemistry, University of Pennsylvania, Philadelphia, PA 19104-6323; mlklein@temple.edu mattgood@pennmedicine.upenn.edu percec@sas.upenn.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Reconstructing the functions of living cells using nonnatural components is one of the great challenges of natural sciences. Compartmentalization, encapsulation, and surface decoration of globular assemblies, known as vesicles, represent key early steps in the reconstitution of synthetic cells. Here we report that vesicles self-assembled from amphiphilic Janus dendrimers, called dendrimersomes, encapsulate high concentrations of hydrophobic components and do so more efficiently than commercially available stealth liposomes assembled from phospholipid components. Multilayer onion-like dendrimersomes demonstrate a particularly high capacity for loading low-molecular weight compounds and even folded proteins. Coassembly of amphiphilic Janus dendrimers with metal-chelating ligands conjugated to amphiphilic Janus dendrimers generates dendrimersomes that selectively display folded proteins on their periphery in an oriented manner. A modular strategy for tethering nucleic acids to the surface of dendrimersomes is also demonstrated. These findings augment the functional capabilities of dendrimersomes to serve as versatile biological membrane mimics.

Indexed as

Hydrophobic and Hydrophilic InteractionsDendrimersGreen Fluorescent ProteinsLigandsLiposomesNitrilotriacetic AcidNucleic AcidsProteinsSurface PropertiesDendrimersGreen Fluorescent ProteinsLigandsLiposomesNitrilotriacetic AcidNucleic AcidsProteinsbiological membrane mimicfolded proteinJanus dendrimer vesiclesnucleic acidonion-like vesicles

Identifiers

PMID31308223
PMCPMC6681758

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.