Evidence map›Paper›PMID 34127763›Full record

ArticleScientific reports2021

Multiplex protein profiling method for extracellular vesicle protein detection.

Li Sun, David G Meckes

Abstract readEvaluation Study
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Article
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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

2 authors.

Li SunDepartment of Biomedical Sciences, Florida State University College of Medicine, 1115 W. Call Street, Tallahassee, FL, 32306-4300, USA.
David G MeckesDepartment of Biomedical Sciences, Florida State University College of Medicine, 1115 W. Call Street, Tallahassee, FL, 32306-4300, USA. david.meckes@med.fsu.edu.

Funding

Modulation of Host Cell Exosome Content and Function by EBV LMP1R01CA204621 · NCI · FLORIDA STATE UNIVERSITY · PI MECKES, DAVID G · 2016 to 2020
$2.2M
NCI NIH HHS R01 CA204621
6 · The paper itself

Abstract

Extracellular vesicles (EVs) are small nanometer-sized membrane sacs secreted into biological fluids by all cells. EVs encapsulate proteins, RNAs and metabolites from its origin cell and play important roles in intercellular communication events. Over the past decade, EVs have become a new emerging source for cancer diagnostics. One of the challenges in the study of EVs and there utility as diagnostic biomarkers is the amount of EVs needed for traditional protein analysis methods. Here, we present a new immuno-PCR method that takes advantage of commercially available TotalSeq antibodies containing DNA conjugated oligos to identify immobilized protein analysts using real-time qPCR. Using this method, we demonstrate that multiple EV surface proteins can be profiled simultaneously with high sensitivity and specificity. This approach was also successfully applied to similar protocol using cell and serum samples. We further described the development of a micro-size exclusion chromatography method, where we were able to detect EV surface proteins with as little as 10 μL of human serum when combined with immuno-PCR. Overall, these results show that the immuno-PCR method results in rapid detection of multiple EV markers from small sample volumes in a single tube.

Indexed as

Chromatography, GelCulture Media, ConditionedEnzyme-Linked Immunosorbent AssayExtracellular VesiclesHEK293 CellsHumansImmobilized ProteinsMembrane ProteinsProteomicsReal-Time Polymerase Chain ReactionSensitivity and SpecificityCulture Media, ConditionedImmobilized ProteinsMembrane Proteins

Identifiers

PMID34127763
PMCPMC8203679

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Registered trials

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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.