Evidence map›Paper›PMID 33456726›Full record

ArticleJournal of extracellular vesicles2021

Single-vesicle imaging and co-localization analysis for tetraspanin profiling of individual extracellular vesicles.

Chungmin Han, Hyejin Kang, Johan Yi, Minsu Kang, Hyunjin Lee, Yongmin Kwon, Jaehun Jung, Jingeol Lee, Jaesung Park

Abstract read
In one paragraph

Article in Journal of extracellular vesicles, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 73 papers.

0numbers the graph read from it
0cells of the map it votes in
73citing 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

73 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Review
  9. Article
  10. Article
  11. Review
  12. Review
  13. Article
  14. Article
  15. Review
  16. Article
  17. Article
  18. Article
  19. Article
  20. Review

13 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

9 authors.

Chungmin HanDepartment of Mechanical Engineering Pohang University of Science and Technology Pohang Gyeong-buk Republic of Korea.
Hyejin KangSchool of Interdisciplinary Bioscience and Bioengineering Pohang University of Science and Technology Pohang Gyeong-buk Republic of Korea.
Johan YiDepartment of Mechanical Engineering Pohang University of Science and Technology Pohang Gyeong-buk Republic of Korea.
Minsu KangSchool of Interdisciplinary Bioscience and Bioengineering Pohang University of Science and Technology Pohang Gyeong-buk Republic of Korea.
Hyunjin LeeDepartment of Mechanical Engineering Pohang University of Science and Technology Pohang Gyeong-buk Republic of Korea.
Yongmin KwonDepartment of Mechanical Engineering Pohang University of Science and Technology Pohang Gyeong-buk Republic of Korea.
Jaehun JungDepartment of Mechanical Engineering Pohang University of Science and Technology Pohang Gyeong-buk Republic of Korea.
Jingeol LeeDepartment of Mechanical Engineering Pohang University of Science and Technology Pohang Gyeong-buk Republic of Korea.
Jaesung ParkDepartment of Mechanical Engineering Pohang University of Science and Technology Pohang Gyeong-buk Republic of Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Extracellular vesicles (EVs) are secreted nano-sized vesicles that contain cellular proteins, lipids, and nucleic acids. Although EVs are expected to be biologically diverse, current analyses cannot adequately characterize this diversity because most are ensemble methods that inevitably average out information from diverse EVs. Here we describe a single vesicle analysis, which directly visualizes marker expressions of individual EVs using a total internal-reflection microscopy and analyzes their co-localization to investigate EV subpopulations. The single-vesicle imaging and co-localization analysis successfully illustrated the diversity of EVs and revealed distinct patterns of tetraspanin expressions. Application of the analysis demonstrated similarities and dissimilarities between the EV fractions that had been acquired from different conventional EV isolation methods. The analysis method developed in this study will provide a new and reliable tool for investigating characteristics of single EVs, and the findings of the analysis might increase understanding of the characteristics of EVs.

Indexed as

BiomarkersCell LineChromatography, GelExtracellular VesiclesHEK293 CellsHumansMicroscopyTetraspaninsBiomarkersTetraspaninsdensity gradient ultracentrifugationEV heterogeneityEV subpopulationssingle‐vesicle analysissize exclusion chromatographytetraspanin markers

Identifiers

PMID33456726
PMCPMC7797949

What OpenQuestion 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 OpenQuestion graph.