Evidence map›Paper›PMID 34298496›Full record

ArticleBiosensors & bioelectronics2021

Calibration-free analysis of surface proteins on single extracellular vesicles enabled by DNA nanostructure.

Kaizhu Guo, Zongbo Li, Allison Win, Roxana Coreas, Gary Brent Adkins, Xinping Cui, Dong Yan, Minghui Cao, Shizhen Emily Wang, Wenwan Zhong

Open access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Biosensors & bioelectronics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
1.8field-weighted citation impact, top 14% 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

16 citing papers in PubMed, 27 citations in OpenAlex.

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  15. Recent developments in isolating methods for exosomes.Frontiers in bioengineering and biotechnology · 2022
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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

10 authors at 2 institutions in 1 country.

Kaizhu GuoDepartment of Chemistry, University of California-Riverside, Riverside, CA, 92521, USA.
Zongbo LiDepartment of Chemistry, University of California-Riverside, Riverside, CA, 92521, USA.
Allison WinDepartment of Chemistry, University of California-Riverside, Riverside, CA, 92521, USA.
Roxana CoreasEnvironmental Toxicology Graduate Program, University of California-Riverside, Riverside, CA, 92521, USA.
Gary Brent AdkinsDepartment of Chemistry, University of California-Riverside, Riverside, CA, 92521, USA.
Xinping CuiDepartment of Statistics, University of California-Riverside, Riverside, CA, 92521, USA.
Dong YanNanofabrication Facility, University of California-Riverside, Riverside, CA, 92521, USA.
Minghui CaoDepartment of Pathology, University of California San Diego, La Jolla, CA, 92093, USA.
Shizhen Emily WangDepartment of Pathology, University of California San Diego, La Jolla, CA, 92093, USA.
Wenwan ZhongDepartment of Chemistry, University of California-Riverside, Riverside, CA, 92521, USA; Environmental Toxicology Graduate Program, University of California-Riverside, Riverside, CA, 92521, USA. Electronic address: wenwan.zhong@ucr.edu.
University of California, Riverside · USUniversity of California San Diego · US

Funding

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
Comprehensive Profiling of Extracellular RNA Biomarkers of Alcohol ConsumptionR21AA025839 · NIAAA · UNIVERSITY OF CALIFORNIA-IRVINE · PI MESSAOUDI, ILHEM · 2018 to 2019
$388k
NCI NIH HHS R01 CA188991NCI NIH HHS R01 CA206911NCI NIH HHS R01 CA218140NIAAA NIH HHS R21 AA025839
6 · The paper itself

Abstract

Extracellular vesicles (EVs) are essential intercellular communicators that are of increasing interest as diagnostic biomarkers. Exploring their biological functions and clinical values, however, remains challenging due to their small sizes and high heterogeneity. Herein, we report an ultrasensitive method that employs target-initiated construction of DNA nanostructure to detect single EVs with an input as low as 100 vesicles/μL. Taking advantage of both DNA nanostructure labeling and EV membrane staining, the method can also permit calibration-free analysis of the protein profiles among different EV samples, leading to clear EV differentiation by their cell of origin. Moreover, this method allows co-localization of dual protein markers on the same EV, and the increased number of EVs carrying dual tumor proteins present in human serum could differentiate cancer patients at the early developmental stage from healthy controls. Our results demonstrate the great potential of this single-EV visualization method in non-invasive detection of the EV-based protein biomarkers for cancer diagnosis and treatment monitoring.

Indexed as

Biosensing TechniquesExtracellular VesiclesNanostructuresDNAHumansMembrane ProteinsDNAMembrane ProteinsCancer diagnosisDNA nanostructureExtracellular vesicleFluorescence microscopyProtein profiling

Identifiers

PMID34298496
PMCPMC8580803
OpenAlexW3177937878

What OpenQuestion holds

Textmetadata
LicenceTDM
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.