Evidence mapPaperPMID 39766306Full record

ReviewBiomolecules2024

Approaches and Challenges in Characterizing the Molecular Content of Extracellular Vesicles for Biomarker Discovery.

Suman Kumari, Christopher Lausted, Kelsey Scherler, Alphonsus H C Ng, Yue Lu, Inyoul Lee, Leroy Hood, Kai Wang

Abstract readReview
In one paragraph

Review in Biomolecules, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. Review
  5. Review
  6. Review
  7. Review
  8. Extracellular RNAs as Messengers and Early Biomarkers in Neurodegeneration.International journal of molecular sciences · 2025
    Review
  9. Review
  10. Article
  11. Counting Copies, Making Medicines: A Roadmap for the MSC-EV-microRNAome.International journal of molecular and cellular medicine · 2025
    Article
  12. Review
  13. Extracellular vesicles in laboratory medicine: a review and outlook.Frontiers in cell and developmental biology · 2025
    Review
  14. 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

8 authors.

Suman KumariInstitute for Systems Biology, Seattle, WA 98109, USA.
Christopher LaustedInstitute for Systems Biology, Seattle, WA 98109, USA.ORCID 0000-0003-3073-9212
Kelsey ScherlerInstitute for Systems Biology, Seattle, WA 98109, USA.
Alphonsus H C NgDepartment of Molecular Pharmaceutics, University of Utah, Salt Lake City, UT 84112, USA.
Yue LuDepartment of Molecular Pharmaceutics, University of Utah, Salt Lake City, UT 84112, USA.
Inyoul LeeInstitute for Systems Biology, Seattle, WA 98109, USA.
Leroy HoodInstitute for Systems Biology, Seattle, WA 98109, USA.
Kai WangInstitute for Systems Biology, Seattle, WA 98109, USA.

Funding

Micro-nanotechnologies for the analysis of islet-derived extracellular vesicles implicated in Type 1 DiabetesR01DK133884 · UTAH STATE HIGHER EDUCATION SYSTEM--UNIVERSITY OF UTAH · 2025 to 2025
$588k
NIDDK NIH HHS R01 DK133884
6 · The paper itself

Abstract

Extracellular vesicles (EVs) are lipid bilayer nanoparticles released from all known cells and are involved in cell-to-cell communication via their molecular content. EVs have been found in all tissues and body fluids, carrying a variety of biomolecules, including DNA, RNA, proteins, metabolites, and lipids, offering insights into cellular and pathophysiological conditions. Despite the emergence of EVs and their molecular contents as important biological indicators, it remains difficult to explore EV-mediated biological processes due to their small size and heterogeneity and the technical challenges in characterizing their molecular content. EV-associated small RNAs, especially microRNAs, have been extensively studied. However, other less characterized RNAs, including protein-coding mRNAs, long noncoding RNAs, circular RNAs, and tRNAs, have also been found in EVs. Furthermore, the EV-associated proteins can be used to distinguish different types of EVs. The spectrum of EV-associated RNAs, as well as proteins, may be associated with different pathophysiological conditions. Therefore, the ability to comprehensively characterize EVs' molecular content is critical for understanding their biological function and potential applications in disease diagnosis. Here, we set out to provide an overview of EV-associated RNAs and proteins as well as approaches currently being used to characterize them.

Indexed as

BiomarkersExtracellular VesiclesAnimalsHumansMicroRNAsProteinsRNARNA, TransferBiomarkersMicroRNAsProteinsRNARNA, TransferEV biomarkersEV RNA subtypesextracellular vesiclesproteins characterization methodsRNA characterizationsingle EV analysis

Identifiers

PMID39766306
PMCPMC11674167

What Socratic 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 Socratic graph.