Evidence map›Paper›PMID 34516902›Full record

ArticleScience advances2021

Bottom-up assembly of biomedical relevant fully synthetic extracellular vesicles.

Oskar Staufer, Franziska Dietrich, Rahul Rimal, Martin Schröter, Sebastian Fabritz, Heike Boehm, Smriti Singh, Martin Möller, Ilia Platzman, Joachim Pius Spatz

Abstract read
In one paragraph

Article in Science advances, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 62 papers.

0numbers the graph read from it
0cells of the map it votes in
62citing 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

62 citing papers in PubMed.

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  8. Exosomes in corneal diseases: advances in diagnosis and therapy.Frontiers in cell and developmental biology · 2026
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2 more citing papers are in PubMed but not listed here.

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

10 authors.

Oskar StauferDepartment for Cellular Biophysics, Max Planck Institute for Medical Research, Jahnstraße 29, 69120 Heidelberg, Germany.ORCID 0000-0002-8015-3132
Franziska DietrichDepartment for Cellular Biophysics, Max Planck Institute for Medical Research, Jahnstraße 29, 69120 Heidelberg, Germany.
Rahul RimalDWI-Leibniz-Institute for Interactive Materials, Forckenbeckstrasse 50, 52056 Aachen, Germany.ORCID 0000-0003-0923-480X
Martin SchröterDepartment for Cellular Biophysics, Max Planck Institute for Medical Research, Jahnstraße 29, 69120 Heidelberg, Germany.
Sebastian FabritzDepartment for Chemical Biology, Max Planck Institute for Medical Research, Jahnstraße 29, D-69120 Heidelberg, Germany.ORCID 0000-0001-5453-1323
Heike BoehmDepartment for Cellular Biophysics, Max Planck Institute for Medical Research, Jahnstraße 29, 69120 Heidelberg, Germany.ORCID 0000-0002-7124-4913
Smriti SinghDWI-Leibniz-Institute for Interactive Materials, Forckenbeckstrasse 50, 52056 Aachen, Germany.ORCID 0000-0002-2164-9912
Martin MöllerMax Planck School Matter to Life, Jahnstraße 29, 69120 Heidelberg, Germany.ORCID 0000-0002-5955-4185
Ilia PlatzmanDepartment for Cellular Biophysics, Max Planck Institute for Medical Research, Jahnstraße 29, 69120 Heidelberg, Germany.
Joachim Pius SpatzDepartment for Cellular Biophysics, Max Planck Institute for Medical Research, Jahnstraße 29, 69120 Heidelberg, Germany.ORCID 0000-0003-3419-9807

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Extracellular vesicles (EVs) are fundamental for intercellular communication and influence nearly every process in cell physiology. However, because of their intricate molecular complexity, quantitative knowledge on their signaling mechanisms is missing, particularly impeding their therapeutic application. We used a complementary and quantitative engineering approach based on sequential synthetic bottom-up assembly of fully functional EVs with precisely controlled lipid, protein, and RNA composition. We show that the functionalities of synthetic EVs are analogous to natural EVs and demonstrate their programmable therapeutic administration for wound healing and neovascularization therapy. We apply transcriptome profiling to systematically decode synergistic effects between individual EV constituents, enabling analytical dissection and a fundamental understanding of EV signaling.

Identifiers

PMID34516902
PMCPMC8442894

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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.