Evidence map›Paper›PMID 36926451›Full record

ArticleACS pharmacology & translational science2023

Multiparametric Biosensors for Characterizing Extracellular Vesicle Subpopulations.

Narges Shaabani, Sabrina Rodrigues Meira, Marcelo Marcet-Palacios, Marianna Kulka

Open access · greenAbstract read
In one paragraph

Article in ACS pharmacology & translational science, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
1.8field-weighted citation impact, top 15% of its field
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

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 12 citations in OpenAlex.

  1. Pooled it
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  3. Article
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  7. Article
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  10. Identification of potential novel proteomic markers ofFrontiers in cellular and infection microbiology · 2024
    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

4 authors at 3 institutions in 1 country.

Narges ShaabaniNanotechnology Research Centre, National Research Council Canada, Edmonton, Alberta T6G 2M9, Canada.
Sabrina Rodrigues MeiraNanotechnology Research Centre, National Research Council Canada, Edmonton, Alberta T6G 2M9, Canada.
Marcelo Marcet-PalaciosNorthern Alberta Institute of Technology, NAIT, Edmonton, Alberta T5G 2R1, Canada.
Marianna KulkaNanotechnology Research Centre, National Research Council Canada, Edmonton, Alberta T6G 2M9, Canada.ORCID https://orcid.org/0000-0003-4741-9290
University of Alberta · CANational Institute for Nanotechnology · CANorthern Alberta Institute of Technology · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Extracellular vesicles (EVs) are an important intercellular communication conduit for cells that have applications in precision therapy and targeted drug delivery. Small EVs, or exosomes, are a 30-150 nm phospholipid-encased subpopulation of EVs that are particularly difficult to characterize due to their small size and because they are difficult to isolate using conventional methods. In this review, we discuss some recent advances in exosome isolation, purification, and sensing platforms using microfluidics, acoustics, and size exclusion chromatography. We discuss some of the challenges and unanswered questions with respect to understanding exosome size heterogeneity and how modern biosensor technology can be applied to exosome isolation. In addition, we discuss how some advancements in sensing platforms such as colorimetric, fluorescent, electronic, surface plasmon resonance (SPR), and Raman spectroscopy may be applied to exosome detection in multiparametric systems. The application of cryogenic electron tomography and microscopy to understanding exosome ultrastructure will become vital as this field progresses. In conclusion, we speculate on some future needs in the exosome research field and how these technologies could be applied.

Identifiers

PMID36926451
PMCPMC10012251
OpenAlexW4319790117

What OpenQuestion holds

Textmetadata
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.