Evidence map›Paper›PMID 38578701›Full record

ArticleACS nano2024

Multiparametric Single-Vesicle Flow Cytometry Resolves Extracellular Vesicle Heterogeneity and Reveals Selective Regulation of Biogenesis and Cargo Distribution.

Ariana K von Lersner, Fabiane Fernandes, Patricia Midori Murobushi Ozawa, Marques Jackson, Matthieu Masureel, Hoangdung Ho, Sierra M Lima, Tatyana Vagner, Bong Hwan Sung, Mohamed Wehbe and 7 more

Abstract read
In one paragraph

Article in ACS nano, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing 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

36 citing papers in PubMed.

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  13. Laurdan: Clarifying Photophysics and Advancing the Characterization of Extracellular Vesicles.Chemphyschem : a European journal of chemical physics and physical chemistry · 2026
    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

17 authors.

Ariana K von LersnerProgram in Cancer Biology, Vanderbilt University, Nashville, Tennessee 37232, United States.ORCID 0000-0002-6128-4268
Fabiane FernandesDepartment of Pathology, Microbiology and Immunology, Vanderbilt University Medical Center, Nashville, Tennessee 37232, United States.
Patricia Midori Murobushi OzawaThe Center for EV Research, Vanderbilt University, Nashville, Tennessee 37232, United States.ORCID 0000-0002-7992-143X
Marques JacksonDepartment of Research Pathology, Genentech, San Francisco, California 94080, United States.
Matthieu MasureelDepartment of Structural Biology, Genentech, San Francisco, California 94080, United States.
Hoangdung HoDepartment of Structural Biology, Genentech, San Francisco, California 94080, United States.
Sierra M LimaDepartment of Cell and Developmental Biology, Vanderbilt University School of Medicine, Nashville, Tennessee 37232, United States.
Tatyana VagnerDepartment of Surgery, Cedars-Sinai Medical Center, Los Angeles, California 90048, United States.ORCID 0000-0003-0258-8250
Bong Hwan SungThe Center for EV Research, Vanderbilt University, Nashville, Tennessee 37232, United States.
Mohamed WehbeDepartment of Chemical and Biomolecular Engineering, Vanderbilt University, Nashville, Tennessee 37232, United States.
Kai FranzeDepartment of Research Pathology, Genentech, San Francisco, California 94080, United States.
Heather PuaDepartment of Pathology, Microbiology and Immunology, Vanderbilt University Medical Center, Nashville, Tennessee 37232, United States.ORCID 0000-0002-9271-2608
John T WilsonProgram in Cancer Biology, Vanderbilt University, Nashville, Tennessee 37232, United States.ORCID 0000-0002-9144-2634
Jonathan M IrishProgram in Cancer Biology, Vanderbilt University, Nashville, Tennessee 37232, United States.
Alissa M WeaverProgram in Cancer Biology, Vanderbilt University, Nashville, Tennessee 37232, United States.ORCID 0000-0002-4096-8636
Dolores Di VizioDepartment of Surgery, Cedars-Sinai Medical Center, Los Angeles, California 90048, United States.ORCID 0000-0002-9787-6556
Andries ZijlstraProgram in Cancer Biology, Vanderbilt University, Nashville, Tennessee 37232, United States.

Funding

Roles for Supermeres in CRC ProgressionP01CA229123 · NCI · VANDERBILT UNIVERSITY · PI Alissa M Weaver · 2020 to 2026
$12.9M
Exosome secretion in breast cancer progressionR01CA206458 · NCI · VANDERBILT UNIVERSITY · PI PONIK, SUZANNE MARIE, WEAVER, ALISSA M · 2016 to 2025
$4.6M
Regulation of extracellular vesicle biogenesis through cell adhesionR01CA249424 · NCI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI PUA, HEATHER H, WEAVER, ALISSA M · 2020 to 2025
$2.6M
Extracellular RNA Communication in Lung InflammationDP2HL152426 · NHLBI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI PUA, HEATHER H · 2019 to 2019
$2.5M
Molecular Mechanisms of Large Oncosome-Induced Prostate Cancer Progression and MetastasisR01CA234557 · NCI · CEDARS-SINAI MEDICAL CENTER · PI DI VIZIO, DOLORES · 2019 to 2023
$2.3M
High-throughput palmitoyl-proteomics profiling of extracellular vesicles for identification of biomarkers for early detection of clinically significant prostate cancerR01CA218526 · NCI · CEDARS-SINAI MEDICAL CENTER · PI DI VIZIO, DOLORES, HURLEY, PAULA JILL · 2017 to 2021
$2.0M
Exosomes in HNSCC ProgressionR01CA249684 · NCI · VANDERBILT UNIVERSITY · PI WEAVER, ALISSA M · 2021 to 2025
$2.0M
Phenotype Interactions in SCLC Development and DetectionU01CA224276 · NCI · VANDERBILT UNIVERSITY · PI WEAVER, ALISSA M · 2018 to 2022
$1.6M
NCI NIH HHS P01 CA229123NCI NIH HHS R01 CA206458NCI NIH HHS R01 CA218526NCI NIH HHS R01 CA234557NCI NIH HHS R01 CA249424NCI NIH HHS R01 CA249684NCI NIH HHS U01 CA224276NHLBI NIH HHS DP2 HL152426
6 · The paper itself

Abstract

Mammalian cells release a heterogeneous array of extracellular vesicles (EVs) that contribute to intercellular communication by means of the cargo that they carry. To resolve EV heterogeneity and determine if cargo is partitioned into select EV populations, we developed a method named "EV Fingerprinting" that discerns distinct vesicle populations using dimensional reduction of multiparametric data collected by quantitative single-EV flow cytometry. EV populations were found to be discernible by a combination of membrane order and EV size, both of which were obtained through multiparametric analysis of fluorescent features from the lipophilic dye Di-8-ANEPPS incorporated into the lipid bilayer. Molecular perturbation of EV secretion and biogenesis through respective ablation of the small GTPase Rab27a and overexpression of the EV-associated tetraspanin CD63 revealed distinct and selective alterations in EV populations, as well as cargo distribution. While Rab27a disproportionately affects all small EV populations with high membrane order, the overexpression of CD63 selectively increased the production of one small EV population of intermediate membrane order. Multiplexing experiments subsequently revealed that EV cargos have a distinct, nonrandom distribution with CD63 and CD81 selectively partitioning into smaller vs larger EVs, respectively. These studies not only present a method to probe EV biogenesis but also reveal how the selective partitioning of cargo contributes to EV heterogeneity.

Indexed as

Extracellular VesiclesAnimalsCell CommunicationFlow CytometryLipid BilayersMammalsLipid Bilayersbiogenesisdimensional reductionextracellular vesicleflow cytometryheterogeneitymultiparametricmultiplex

Identifiers

PMID38578701
PMCPMC11025123

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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.