Evidence map›Paper›PMID 38746341›Full record

ArticlebioRxiv : the preprint server for biology2024

Rapid Assessment of Biomarkers on Single Extracellular Vesicles Using 'Catch and Display' on Ultrathin Nanoporous Silicon Nitride Membranes.

Samuel N Walker, Kilean Lucas, Marley J Dewey, Stephen Badylak, George Hussey, Jonathan Flax, James L McGrath

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Samuel N WalkerDepartment of Biomedical Engineering, University of Rochester, Rochester, NY 14627, United States.
Kilean LucasDepartment of Biomedical Engineering, University of Rochester, Rochester, NY 14627, United States.
Marley J DeweyMcGowan Institute for Regenerative Medicine, University of Pittsburgh, Pittsburgh, PA 15219, United States.
Stephen BadylakMcGowan Institute for Regenerative Medicine, University of Pittsburgh, Pittsburgh, PA 15219, United States.
George HusseyMcGowan Institute for Regenerative Medicine, University of Pittsburgh, Pittsburgh, PA 15219, United States.
Jonathan FlaxDepartment of Urology, University of Rochester Medical Center, Rochester, NY 14642, United States.
James L McGrathDepartment of Biomedical Engineering, University of Rochester, Rochester, NY 14627, United States.

Funding

NRSA Training CoreTL1TR001858 · NCATS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI RADOMSKI, THOMAS, RUBIO, DORIS M · 2016 to 2025
$11.1M
Solid-state nanopores and silicon nanomembranes for ultrasensitive protein biomarker detectionR01EB031581 · NIBIB · UNIVERSITY OF ROCHESTER · PI FLAX, JONATHAN D, GODIN, MICHEL · 2021 to 2024
$1.7M
NCATS NIH HHS TL1 TR001858NIBIB NIH HHS R01 EB031581
6 · The paper itself

Abstract

Extracellular vesicles (EVs) are particles secreted by all cells that carry bioactive cargo and facilitate intercellular communication with roles in normal physiology and disease pathogenesis. EVs have tremendous diagnostic and therapeutic potential and accordingly, the EV field has grown exponentially in recent years. Bulk assays lack the sensitivity to detect rare EV subsets relevant to disease, and while single EV analysis techniques remedy this, they are undermined by complicated detection schemes often coupled with prohibitive instrumentation. To address these issues, we propose a microfluidic technique for EV characterization called '

Indexed as

biomarker profiling‘Catch and Display for Liquid Biopsy (CAD-LB)’digital protein assayExtracellular vesiclesultrathin nanoporous silicon nitride membrane

Identifiers

PMID38746341
PMCPMC11092443

What OpenQuestion holds

Textmetadata
LicenceCC BY-ND
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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.