Evidence map›Paper›PMID 38938277›Full record

ArticleJournal of extracellular biology2023

Opportunities to accelerate extracellular vesicle research with cell-free synthetic biology.

Richard J R Kelwick, Alexander J Webb, Amelie Heliot, Clara Tresserras Segura, Paul S Freemont

Erratum issuedAbstract read
In one paragraph

Article in Journal of extracellular biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. Review
  5. Article
  6. Article
  7. Opportunities for engineering outer membrane vesicles using synthetic biology approaches.Extracellular vesicles and circulating nucleic acids · 2023
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Richard J R KelwickSection of Structural and Synthetic Biology Department of Infectious Disease Imperial College London London UK.ORCID https://orcid.org/0000-0002-0054-6893
Alexander J WebbSection of Structural and Synthetic Biology Department of Infectious Disease Imperial College London London UK.ORCID https://orcid.org/0000-0002-7782-269X
Amelie HeliotSection of Structural and Synthetic Biology Department of Infectious Disease Imperial College London London UK.
Clara Tresserras SeguraDepartment of Metabolism Digestion and Reproduction, Imperial College London London UK.
Paul S FreemontSection of Structural and Synthetic Biology Department of Infectious Disease Imperial College London London UK.ORCID https://orcid.org/0000-0002-5658-8486

Funding

Wellcome Trust
6 · The paper itself

Abstract

Extracellular vesicles (EVs) are lipid-membrane nanoparticles that are shed or secreted by many different cell types. The EV research community has rapidly expanded in recent years and is leading efforts to deepen our understanding of EV biological functions in human physiology and pathology. These insights are also providing a foundation on which future EV-based diagnostics and therapeutics are poised to positively impact human health. However, current limitations in our understanding of EV heterogeneity, cargo loading mechanisms and the nascent development of EV metrology are all areas that have been identified as important scientific challenges. The field of synthetic biology is also contending with the challenge of understanding biological complexity as it seeks to combine multidisciplinary scientific knowledge with engineering principles, to build useful and robust biotechnologies in a responsible manner. Within this context, cell-free systems have emerged as a powerful suite of

Indexed as

cell‐free synthetic biologydiagnosticsEV mimeticsexosomesextracellular vesiclestherapeutics

Identifiers

PMID38938277
PMCPMC11080881

What OpenQuestion holds

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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.