Evidence map›Paper›PMID 37802976›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2023

Double Digital Assay for Single Extracellular Vesicle and Single Molecule Detection.

David E Reynolds, Menghan Pan, Jingbo Yang, George Galanis, Yoon Ho Roh, Renee-Tyler T Morales, Shailesh Senthil Kumar, Su-Jin Heo, Xiaowei Xu, Wei Guo and 1 more

Abstract read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

21 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Review
  5. Article
  6. Review
  7. Article
  8. Review
  9. Article
  10. Article
  11. Review
  12. Review
  13. Article
  14. Article
  15. Article
  16. Review
  17. Review
  18. Article
  19. Review
  20. Article
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

11 authors.

David E ReynoldsDepartment of Bioengineering, University of Pennsylvania, Philadelphia, PA, 19104, USA.
Menghan PanDepartment of Bioengineering, University of Pennsylvania, Philadelphia, PA, 19104, USA.
Jingbo YangDepartment of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA.
George GalanisDepartment of Bioengineering, University of Pennsylvania, Philadelphia, PA, 19104, USA.
Yoon Ho RohDepartment of Bioengineering, University of Pennsylvania, Philadelphia, PA, 19104, USA.
Renee-Tyler T MoralesDepartment of Bioengineering, University of Pennsylvania, Philadelphia, PA, 19104, USA.
Shailesh Senthil KumarDepartment of Bioengineering, University of Pennsylvania, Philadelphia, PA, 19104, USA.
Su-Jin HeoDepartment of Bioengineering, University of Pennsylvania, Philadelphia, PA, 19104, USA.
Xiaowei XuDepartment of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA.
Wei GuoDepartment of Biology, School of Arts and Sciences, University of Pennsylvania, Philadelphia, PA, 19104, USA.
Jina KoDepartment of Bioengineering, University of Pennsylvania, Philadelphia, PA, 19104, USA.ORCID 0000-0002-4941-4234

Funding

Targeting exosomal PDL1 to improve immunotherapyP50CA261608 · NCI · WISTAR INSTITUTE · PI VILLANUEVA, JESSIE · 2021 to 2025
$11.3M
Targeted Combination Therapy for MelanomaP50CA174523 · NCI · WISTAR INSTITUTE · PI HERLYN, MEENHARD F · 2014 to 2018
$11.1M
Molecular Basis and Regulatory Mechanisms of Exosome SecretionR35GM141832 · NIGMS · UNIVERSITY OF PENNSYLVANIA · PI WEI GUO · 2021 to 2026
$3.9M
Mapping Single Extracellular Vesicles to Parent Cells for Immunotherapy MonitoringR00CA256353 · NCI · UNIVERSITY OF PENNSYLVANIA · PI KO, JINA · 2022 to 2024
$741k
NCI NIH HHS P50 CA174523NCI NIH HHS P50 CA261608NCI NIH HHS R00 CA256353NIGMS NIH HHS R35 GM141832
6 · The paper itself

Abstract

Extracellular vesicles (EVs) have emerged as a promising source of biomarkers for disease diagnosis. However, current diagnostic methods for EVs present formidable challenges, given the low expression levels of biomarkers carried by EV samples, as well as their complex physical and biological properties. Herein, a highly sensitive double digital assay is developed that allows for the absolute quantification of individual molecules from a single EV. Because the relative abundance of proteins is low for a single EV, tyramide signal amplification (TSA) is integrated to increase the fluorescent signal readout for evaluation. With the integrative microfluidic technology, the technology's ability to compartmentalize single EVs is successfully demonstrated, proving the technology's digital partitioning capacity. Then the device is applied to detect single PD-L1 proteins from single EVs derived from a melanoma cell line and it is discovered that there are ≈2.7 molecules expressed per EV, demonstrating the applicability of the system for profiling important prognostic and diagnostic cancer biomarkers for therapy response, metastatic status, and tumor progression. The ability to accurately quantify protein molecules of rare abundance from individual EVs will shed light on the understanding of EV heterogeneity and discovery of EV subtypes as new biomarkers.

Indexed as

Biomarkers, TumorExtracellular VesiclesCell Line, TumorMicrofluidicsProteinsBiomarkers, TumorProteinsbiomarker discoverydouble digital microfluidicsextracellular vesiclemicrowellstyramide signal amplification

Identifiers

PMID37802976
PMCPMC10667851

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.