Evidence map›Paper›PMID 33709510›Full record

ArticleThe EMBO journal2021

Unbiased proteomic profiling of host cell extracellular vesicle composition and dynamics upon HIV-1 infection.

Lorena Martin-Jaular, Nathalie Nevo, Julia P Schessner, Mercedes Tkach, Mabel Jouve, Florent Dingli, Damarys Loew, Kenneth W Witwer, Matias Ostrowski, Georg H H Borner and 1 more

Abstract read
In one paragraph

Article in The EMBO journal, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers.

0numbers the graph read from it
0cells of the map it votes in
46citing 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

46 citing papers in PubMed.

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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

11 authors.

Lorena Martin-JaularINSERM U932, Institut Curie Centre de Recherche, PSL Research University, Paris, France.ORCID 0000-0002-1511-8576
Nathalie NevoINSERM U932, Institut Curie Centre de Recherche, PSL Research University, Paris, France.ORCID 0000-0001-6350-7122
Julia P SchessnerDepartment of Proteomics and Signal Transduction, Max Planck Institute of Biochemistry, Martinsried, Germany.ORCID 0000-0003-3361-9830
Mercedes TkachINSERM U932, Institut Curie Centre de Recherche, PSL Research University, Paris, France.ORCID 0000-0002-8011-9444
Mabel JouveCNRS UMR3215, Institut Curie, PSL Research University, Paris, France.ORCID 0000-0003-1482-6201
Florent DingliInstitut Curie, Centre de Recherche, Laboratoire de Spectrométrie de Masse Protéomique, PSL Research University, Paris, France.ORCID 0000-0002-7715-2446
Damarys LoewInstitut Curie, Centre de Recherche, Laboratoire de Spectrométrie de Masse Protéomique, PSL Research University, Paris, France.ORCID 0000-0002-9111-8842
Kenneth W WitwerDepartment of Molecular and Comparative Pathobiology and Department of Neurology, The Johns Hopkins University School of Medicine, Baltimore, MD, USA.ORCID 0000-0003-1664-4233
Matias OstrowskiInstituto INBIRS, Universidad de Buenos Aires-CONICET, Buenos Aires, Argentina.ORCID 0000-0002-3982-1338
Georg H H BornerDepartment of Proteomics and Signal Transduction, Max Planck Institute of Biochemistry, Martinsried, Germany.ORCID 0000-0002-3166-3435
Clotilde ThéryINSERM U932, Institut Curie Centre de Recherche, PSL Research University, Paris, France.ORCID 0000-0001-8294-6884

Funding

Extracellular Vesicle and Extracellular RNA Biomarkers of HIV-1 Central Nervous System Pathogenesis and Cigarette UseR01DA047807 · NIDA · JOHNS HOPKINS UNIVERSITY · PI WITWER, KENNETH W · 2018 to 2022
$3.7M
Extracellular Vesicle-Mediated Immunomodulation in HIV Infection and Nicotine AbuseR01DA040385 · NIDA · JOHNS HOPKINS UNIVERSITY · PI WITWER, KENNETH W · 2015 to 2019
$2.3M
Novel Separation Methods for exRNA Carriers: Extracellular Vesicles, Lipoprotein Particles, and Protein AggregatesUG3CA241694 · NCI · JOHNS HOPKINS UNIVERSITY · PI WITWER, KENNETH W · 2019 to 2020
$941k
NCI NIH HHS UG3 CA241694NIDA NIH HHS R01 DA040385NIDA NIH HHS R01 DA047807
6 · The paper itself

Abstract

Cells release diverse types of extracellular vesicles (EVs), which transfer complex signals to surrounding cells. Specific markers to distinguish different EVs (e.g. exosomes, ectosomes, enveloped viruses like HIV) are still lacking. We have developed a proteomic profiling approach for characterizing EV subtype composition and applied it to human Jurkat T cells. We generated an interactive database to define groups of proteins with similar profiles, suggesting release in similar EVs. Biochemical validation confirmed the presence of preferred partners of commonly used exosome markers in EVs: CD81/ADAM10/ITGB1, and CD63/syntenin. We then compared EVs from control and HIV-1-infected cells. HIV infection altered EV profiles of several cellular proteins, including MOV10 and SPN, which became incorporated into HIV virions, and SERINC3, which was re-routed to non-viral EVs in a Nef-dependent manner. Furthermore, we found that SERINC3 controls the surface composition of EVs. Our workflow provides an unbiased approach for identifying candidate markers and potential regulators of EV subtypes. It can be widely applied to in vitro experimental systems for investigating physiological or pathological modifications of EV release.

Indexed as

Cells, CulturedExtracellular VesiclesHEK293 CellsHIV-1HIV InfectionsHumansJurkat CellsLeukosialinMembrane GlycoproteinsProteomeRNA HelicasesLeukosialinMembrane GlycoproteinsMov10 protein, humanProteomeRNA HelicasesSERINC3 protein, humanSPN protein, humanexosomesextracellular vesiclesHIVproteomicsT cells

Identifiers

PMID33709510
PMCPMC8047442

What OpenQuestion holds

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LicenceCC BY-NC-ND
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.