Evidence map›Paper›PMID 30291794›Full record

ArticleAngewandte Chemie (International ed. in English)2018

A Single Extracellular Vesicle (EV) Flow Cytometry Approach to Reveal EV Heterogeneity.

Wen Shen, Kaizhu Guo, Gary Brent Adkins, Qiaoshi Jiang, Yang Liu, Sabrina Sedano, Yaokai Duan, Wei Yan, Shizhen Emily Wang, Kristina Bergersen and 3 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Angewandte Chemie (International ed. in English), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.

0numbers the graph read from it
0cells of the map it votes in
40citing 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

40 citing papers in PubMed.

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  19. SUR7 deletion inJournal of extracellular biology · 2023
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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

13 authors.

Wen ShenUniversity of California-Riverside, Department of Chemistry, Riverside, CA, 92521, USA.
Kaizhu GuoUniversity of California-Riverside, Department of Chemistry, Riverside, CA, 92521, USA.
Gary Brent AdkinsUniversity of California-Riverside, Department of Chemistry, Riverside, CA, 92521, USA.
Qiaoshi JiangUniversity of California-Riverside, Environmental Toxicology Program, Riverside, CA, 92521, USA.
Yang LiuUniversity of California-Riverside, Environmental Toxicology Program, Riverside, CA, 92521, USA.
Sabrina SedanoUniversity of California-Riverside, Department of Chemistry, Riverside, CA, 92521, USA.
Yaokai DuanUniversity of California-Riverside, Department of Chemistry, Riverside, CA, 92521, USA.
Wei YanUniversity of California-San Diego, Department of Pathology, La Jolla, CA, 92093, USA.
Shizhen Emily WangUniversity of California-San Diego, Department of Pathology, La Jolla, CA, 92093, USA.
Kristina BergersenUniversity of California-Riverside, Division of Biomedical Sciences, Riverside, CA, 92521, USA.
Danielle WorthUniversity of California-Riverside, Division of Biomedical Sciences, Riverside, CA, 92521, USA.
Emma H WilsonUniversity of California-Riverside, Division of Biomedical Sciences, Riverside, CA, 92521, USA.
Wenwan ZhongUniversity of California-Riverside, Department of Chemistry, Riverside, CA, 92521, USA.ORCID 0000-0002-3317-3464

Funding

Research Training in Environmental ToxicologyT32ES018827 · NIEHS · UNIVERSITY OF CALIFORNIA RIVERSIDE · PI Yinsheng Wang · 2010 to 2026
$5.3M
Role of breast cancer-secreted miRNA in directing a stromal metabolic plasticityR01CA218140 · NCI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI WANG, SHIZHEN EMILY · 2017 to 2021
$2.4M
Targeting Chemotherapy-induced Breast Cancer StemnessR01CA206911 · NCI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI WANG, SHIZHEN EMILY, YUAN, YUAN · 2017 to 2021
$2.3M
3-Dimensional profile of circulating miRNA for early cancer detectionR01CA188991 · NCI · UNIVERSITY OF CALIFORNIA RIVERSIDE · PI ZHONG, WENWAN · 2015 to 2018
$1.3M
NCI NIH HHS R01 CA188991NCI NIH HHS R01 CA206911NCI NIH HHS R01 CA218140NIEHS NIH HHS T32 ES018827NIEHS NIH HHS T32ES018827NIH HHS R01- CA188991NIH HHS R01 CA206911NIH HHS R01 CA218140
6 · The paper itself

Abstract

Extracellular vesicles (EVs) actively participate in intercellular communication and pathological processes. Studying the molecular signatures of EVs is key to reveal their biological functions and clinical values, which, however, is greatly hindered by their sub-100 nm dimensions, the low quantities of biomolecules each EV carries, and the large population heterogeneity. Now, single-EV flow cytometry analysis is introduced to realize single EV counting and phenotyping in a conventional flow cytometer for the first time, enabled by target-initiated engineering (TIE) of DNA nanostructures on each EV. By illuminating multiple markers on single EVs, statistically significant differences are revealed among the molecular signatures of EVs originating from several breast cancer cell lines, and the cancer cell-derived EVs among the heterogeneous EV populations are successfully recognized. Thus, our approach holds great potential for various biological and biomedical applications.

Indexed as

Flow CytometryBreast NeoplasmsExtracellular VesiclesFemaleHumansParticle Sizeengineeringflow cytometry analysisheterogeneitymolecular signaturessingle extracellular vesicle analysis

Identifiers

PMID30291794
PMCPMC6246790

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.