Evidence map›Paper›PMID 26332016›Full record

ArticleThe Analyst2015

Exosomes: improved methods to characterize their morphology, RNA content, and surface protein biomarkers.

Yueting Wu, Wentao Deng, David J Klinke

Open access · greenAbstract read
In one paragraph

Article in The Analyst, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 203 papers.

0numbers the graph read from it
0cells of the map it votes in
203citing papers in PubMed
7.4field-weighted citation impact, top 2% 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

203 citing papers in PubMed, 363 citations in OpenAlex.

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143 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

3 authors at 1 institution in 2 countries.

Yueting WuDepartment of Chemical Engineering and Mary Babb Randolph Cancer Center, West Virginia University, Morgantown, WV 26505, USA. david.klinke@mail.wvu.edu.
Wentao Deng
David J Klinke
Morgantown High School · US

Funding

West Virginia Flow Cytometry Core FacilityP30GM103488 · NIGMS · WEST VIRGINIA UNIVERSITY · PI GIBSON, LAURA F. · 2012 to 2016
$4.8M
COBRE FOR SIGNAL TRANSDUCTION AND CANCER PHASE IIIP30RR032138 · NCRR · WEST VIRGINIA UNIVERSITY · PI GIBSON, LAURA F. · 2011 to 2011
$1.1M
Noncanonical signaling and Emergent Trastuzumab Resistance in Breast CancerR15CA132124 · NCI · WEST VIRGINIA UNIVERSITY · PI KLINKE, DAVID JOHN · 2009 to 2012
$752k
BECTON-DICKINSON FACSARIA FLOW CYTOMETER: SARCOPENIAS10RR020866 · NCRR · WEST VIRGINIA UNIVERSITY · PI CUFF, CHRISTOPHER F · 2006 to 2006
$425k
Special Becton Dickinson Fortessa Flow CytometerS10OD016165 · OD · WEST VIRGINIA UNIVERSITY · PI CUFF, CHRISTOPHER F · 2013 to 2013
$384k
NCI NIH HHS R15CA123123NCI NIH HHS R15 CA132124NCRR NIH HHS P30 RR032138NCRR NIH HHS P30RR032138NCRR NIH HHS RR020866NCRR NIH HHS S10 RR020866NIGMS NIH HHS P30 GM103488NIGMS NIH HHS P30GM103488NIH HHS OD016165NIH HHS S10 OD016165
6 · The paper itself

Abstract

As a type of secreted membrane vesicle, exosomes are an emerging mode of cell-to-cell communication. Yet as exosome samples are commonly contaminated with other extracellular vesicles, the biological roles of exosomes in regulating immunity and promoting oncogenesis remain controversial. Wondering whether existing methods could distort our view of exosome biology, we compared two direct methods for imaging extracellular vesicles and quantified the impact of different production and storage conditions on the quality of exosome samples. Scanning electron microscopy (SEM) was compared to transmission electron microscopy (TEM) as alternatives to examine the morphology of exosomes. Using SEM, we were able to distinguish exosomes from other contaminating extracellular vesicles based on the size distribution. More importantly, freezing of samples prior to SEM imaging made it more difficult to distinguish exosomes from extracellular vesicles secreted during cell death. In addition to morphology, the quality of RNA contained within the exosomes was characterized under different storage conditions, where freezing of samples also degraded RNA. Finally, we developed a new flow cytometry approach to assay transmembrane proteins on exosomes. While high-copy-number proteins could be readily detected, detecting low-copy-number proteins was improved using a lipophilic tracer that clustered exosomes. To illustrate this, we observed that exosomes derived from SKBR3 cells, a cell model for human HER2+ breast cancer, contained both HER1 and HER2 but at different levels of abundance. Collectively, these new methods will help to ensure a consistent framework to identify specific roles that exosomes play in regulating cell-to-cell communication.

Indexed as

AnimalsBiomarkersCell Line, TumorExosomesFlow CytometryGene Expression RegulationHumansMembrane ProteinsMiceMicroscopy, Electron, ScanningMicroscopy, Electron, TransmissionRNATemperatureBiomarkersMembrane ProteinsRNA

Identifiers

PMID26332016
PMCPMC4986832
OpenAlexW1914452730

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.