Evidence map›Paper›PMID 35588529›Full record

ArticleNano letters2022

Ultrasensitive Single Extracellular Vesicle Detection Using High Throughput Droplet Digital Enzyme-Linked Immunosorbent Assay.

Zijian Yang, Yasemin Atiyas, Hanfei Shen, Michael J Siedlik, Jingyu Wu, Kryshawna Beard, Gennadiy Fonar, Jean Pierre Dolle, Douglas H Smith, James H Eberwine and 2 more

Open access · greenAbstract read
In one paragraph

Article in Nano letters, 2022. 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
6.1field-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

40 citing papers in PubMed, 72 citations in OpenAlex.

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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

12 authors at 1 institution in 1 country.

Zijian YangDepartment of Mechanical Engineering and Applied Mechanics, School of Engineering and Applied Science, University of Pennsylvania, Philadelphia, Pennsylvania 19104, United States.
Yasemin AtiyasDepartment of Bioengineering, School of Engineering and Applied Science, University of Pennsylvania, Philadelphia, Pennsylvania 19104, United States.
Hanfei ShenDepartment of Bioengineering, School of Engineering and Applied Science, University of Pennsylvania, Philadelphia, Pennsylvania 19104, United States.
Michael J SiedlikDepartment of Bioengineering, School of Engineering and Applied Science, University of Pennsylvania, Philadelphia, Pennsylvania 19104, United States.
Jingyu WuDepartment of Chemical and Biomolecular Engineering, University of Pennsylvania, Philadelphia, Pennsylvania 19104, United States.ORCID 0000-0001-5299-0753
Kryshawna BeardDepartment of Pharmacology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania 19104, United States.
Gennadiy FonarCenter for Brain Injury and Repair, Department of Neurosurgery, University of Pennsylvania, Philadelphia, Pennsylvania 19104, United States.
Jean Pierre DolleCenter for Brain Injury and Repair, Department of Neurosurgery, University of Pennsylvania, Philadelphia, Pennsylvania 19104, United States.
Douglas H SmithCenter for Brain Injury and Repair, Department of Neurosurgery, University of Pennsylvania, Philadelphia, Pennsylvania 19104, United States.
James H EberwineDepartment of Pharmacology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania 19104, United States.
David F MeaneyDepartment of Bioengineering, School of Engineering and Applied Science, University of Pennsylvania, Philadelphia, Pennsylvania 19104, United States.
David A IssadoreDepartment of Bioengineering, School of Engineering and Applied Science, University of Pennsylvania, Philadelphia, Pennsylvania 19104, United States.ORCID 0000-0002-5461-8653
University of Pennsylvania · US

Funding

Center for Sub-Cellular GenomicsRM1HG010023 · NHGRI · UNIVERSITY OF PENNSYLVANIA · PI EBERWINE, JAMES H, KIM, JUNHYONG · 2018 to 2022
$11.0M
A nanomagnetic platform technology to characterize traumatic brain injury using brain derived extracellular vesiclesR33MH118170 · NIMH · UNIVERSITY OF PENNSYLVANIA · PI ISSADORE, DAVID AARON · 2020 to 2022
$1.7M
Nanomagnetic isolation and sensing for mobile HIV-1 self-testingR33AI147406 · NIAID · UNIVERSITY OF PENNSYLVANIA · PI ISSADORE, DAVID AARON · 2022 to 2023
$1.6M
High Throughput Digital Droplet Assays for Ultrasensitive Multimodal (DNA, RNA, and Protein) DiagnosticsR33CA287135 · NCI · UNIVERSITY OF PENNSYLVANIA · PI David Aaron Issadore · 2024 to 2026
$1.2M
High Throughput Digital Droplet ELISA for Ultrasensitive Multiplexed DiagnosticsR21CA236653 · NCI · UNIVERSITY OF PENNSYLVANIA · PI ISSADORE, DAVID AARON · 2020 to 2022
$578k
NCI NIH HHS R21 CA236653NCI NIH HHS R33 CA287135NHGRI NIH HHS RM1 HG010023NIAID NIH HHS R33 AI147406NIMH NIH HHS R33 MH118170
6 · The paper itself

Abstract

Extracellular vesicles (EVs) have attracted enormous attention for their diagnostic and therapeutic potential. However, it has proven challenging to achieve the sensitivity to detect individual nanoscale EVs, the specificity to distinguish EV subpopulations, and a sufficient throughput to study EVs among an enormous background. To address this fundamental challenge, we developed a droplet-based optofluidic platform to quantify specific individual EV subpopulations at high throughput. The key innovation of our platform is parallelization of droplet generation, processing, and analysis to achieve a throughput (∼20 million droplets/min) more than 100× greater than typical microfluidics. We demonstrate that the improvement in throughput enables EV quantification at a limit of detection = 9EVs/μL, a >100× improvement over gold standard methods. Additionally, we demonstrate the clinical potential of this system by detecting human EVs in complex media. Building on this work, we expect this technology will allow accurate quantification of rare EV subpopulations for broad biomedical applications.

Indexed as

Extracellular VesiclesEnzyme-Linked Immunosorbent AssayHumansMicrofluidicsdiagnosticsdigital assaysdroplet microfluidicsextracellular vesiclesmicrofluidicsparallelization

Identifiers

PMID35588529
PMCPMC9593357
OpenAlexW4280530903

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.