Evidence map›Paper›PMID 35068480›Full record

ArticleJournal of visualized experiments : JoVE2022

Single-Particle Interferometric Reflectance Imaging Characterization of Individual Extracellular Vesicles and Population Dynamics.

Fengyan Deng, Anamika Ratri, Clayton Deighan, George Daaboul, Paige C Geiger, Lane K Christenson

Open access · greenAbstract readVideo-Audio Media
In one paragraph

Article in Journal of visualized experiments : JoVE, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
2.3field-weighted citation impact, top 11% 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

27 citing papers in PubMed, 26 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

6 authors at 1 institution in 1 country.

Fengyan DengDepartment of Molecular and Integrative Physiology, University of Kansas Medical Center.
Anamika RatriDepartment of Molecular and Integrative Physiology, University of Kansas Medical Center.
Clayton DeighanNanoView Biosciences.
George DaaboulNanoView Biosciences.
Paige C GeigerDepartment of Molecular and Integrative Physiology, University of Kansas Medical Center.
Lane K ChristensonDepartment of Molecular and Integrative Physiology, University of Kansas Medical Center; lchristenson@kumc.edu.
University of Kansas Medical Center · US

Funding

Skeletal muscle extracellular vesicle signaling in Alzheimer's Disease preventionR21AG066488 · NIA · UNIVERSITY OF KANSAS MEDICAL CENTER · PI CHRISTENSON, LANE K., GEIGER, PAIGE C · 2020 to 2020
$421k
NIA NIH HHS R21 AG066488
6 · The paper itself

Abstract

Extracellular vesicles (EVs) are nanometer-sized vesicles with a lipid bilayer that are secreted by most cells. EVs carry a multitude of different biological molecules, including protein, lipid, DNA, and RNA, and are postulated to facilitate cell-to-cell communication in diverse tissues and organs. Recently, EVs have attracted significant attention as biomarkers for diagnostics and therapeutic agents for various diseases. Many methods have been developed for EV characterization. However, current methods for EV analysis all have different limitations. Thus, developing efficient and effective methods for EV isolation and characterization remains one of the crucial steps for this cutting-edge research field as it matures. Here, we provide a detailed protocol outlining a single-particle interferometric reflectance imaging sensor (SP-IRIS), as a method that is capable of detecting and characterizing EVs from unpurified biological sources and purified EVs by other methodologies. This advanced technique can be used for multi-level and comprehensive measurements for the analysis of EV size, EV count, EV phenotype, and biomarker colocalization.

Indexed as

Extracellular VesiclesBiomarkersInterferometryPopulation DynamicsProteinsBiomarkersProteins

Identifiers

PMID35068480
PMCPMC8968924
OpenAlexW4206596344

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.