Evidence map›Paper›PMID 42057185›Full record

ArticleVirology journal2026

Evaluating the utility of a nanoscale flow cytometer for detection of surface proteins on HIV and extracellular vesicles.

Jonathan Burnie, Caroline Ouano, Vanessa Costa, Irene Castrosin, Catherine Hammond, Hannah Matthews, John Tigges, Kizzmekia S Corbett-Helaire

Abstract readEvaluation Study
In one paragraph

Article in Virology journal, 2026. 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

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

8 authors.

Jonathan BurnieDepartment of Immunology and Infectious Diseases, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Caroline OuanoDepartment of Immunology and Infectious Diseases, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Vanessa CostaFlow Cytometry Core Facility, Beth Israel Deaconess Medical Center, Boston, MA, USA.
Irene CastrosinFlow Cytometry Core Facility, Beth Israel Deaconess Medical Center, Boston, MA, USA.
Catherine HammondDepartment of Immunology and Infectious Diseases, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Hannah MatthewsDepartment of Immunology and Infectious Diseases, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
John TiggesFlow Cytometry Core Facility, Beth Israel Deaconess Medical Center, Boston, MA, USA.
Kizzmekia S Corbett-HelaireDepartment of Immunology and Infectious Diseases, Harvard T.H. Chan School of Public Health, Boston, MA, USA. kizzmekia_corbett@hsph.harvard.edu.

Funding

Chan Zuckerberg Initiative 2022-310965CIHR CIHR-ED6 190739
6 · The paper itself

Abstract

backgroundFlow virometry (FV) - the application of flow cytometry to viruses - has historically been hindered by the inability of cytometers to detect particles below ~ 300 nm in size. However, advances in optics and fluidics have enabled cytometers primarily designed for cells to detect viruses and extracellular vesicles (EVs) through light scatter alone. In 2024, the CytoFLEX nano was released, marketed for the detection of particles as small as 40 nm; however, its performance has yet to be compared to a conventional instrument for FV.

methodsFV was utilized to evaluate performance of the CytoFLEX nano and a conventional flow cytometer (CytoFLEX S). Instrument scatter sensitivity was assessed using NIST beads (40-400 nm), and virus stocks [human immunodeficiency virus (HIV), human coronaviruses (HCoV)-229E and HCoV-OC43]. For fluorescence analysis, HIV virions were stained with PE- and BV421-conjugated antibodies targeting virion incorporated proteins (CD38, CD44), individually and in combination. Finally, HIV stocks were labeled with antibodies against the envelope (Env) glycoprotein and tetraspanins (CD9, CD81) to assess EVs within virus preparations.

resultsCompared to the CytoFLEX S, the CytoFLEX nano exhibited substantially greater scatter sensitivity, reflected by up to 50-fold higher signal-to-noise ratio across NIST-traceable beads and virus samples. This enabled clearer resolution of smaller populations, including bead populations < 70 nm that were undetectable on the CytoFLEX S, as well as improved resolution across all viruses. While both instruments reliably detected stained proteins on HIV virions, the CytoFLEX nano revealed a distinct population of tetraspanin-positive EVs within HIV stocks that was undetected on the CytoFLEX S. Using GFP-tagged HIV, we identified Env

conclusionsThe CytoFLEX nano exhibited markedly improved scatter sensitivity compared to the CytoFLEX S, improving detection of viruses and enabling detection of EV populations that were undetectable on the conventional instrument. While both platforms performed similarly for surface protein labeling, additional consideration of spectral overlap was needed with the CytoFLEX nano in multicolor experiments. These findings highlight that the complementary strengths of each platform can be utilized to more comprehensively characterize virus and EV populations, providing new opportunities to investigate nanoparticle heterogeneity.

Indexed as

Extracellular VesiclesFlow CytometryHIVHIV-1Membrane ProteinsNanotechnologyHumansVirionMembrane ProteinsCytoFLEX nanoCytoFLEX SFlow virometryHIVNanoscale flow cytometryVirion-incorporated protein

Identifiers

PMID42057185
PMCPMC13281594

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