Evidence map›Paper›PMID 28111361›Full record

ArticleMolecular & cellular proteomics : MCP2017

Tracing Cellular Origin of Human Exosomes Using Multiplex Proximity Extension Assays.

Pia Larssen, Lotta Wik, Paulo Czarnewski, Maria Eldh, Liza Löf, K Göran Ronquist, Louise Dubois, Eva Freyhult, Caroline J Gallant, Johan Oelrich and 6 more

Erratum issuedAbstract read
In one paragraph

Article in Molecular & cellular proteomics : MCP, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 74 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
74citing papers in PubMed, 1 pooled it
–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

74 citing papers in PubMed, 1 synthesis or guideline pooled it.

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14 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

16 authors.

Pia LarssenFrom the ‡Department of Medicine, Unit for Immunology and Allergy, Karolinska Institutet and Karolinska University Hospital, SE-171 76 Stockholm, Sweden.
Lotta Wik§Department of Immunology, Genetics & Pathology, Science for Life Laboratory, Uppsala University, SE-751 08 Uppsala, Sweden.
Paulo Czarnewski¶Department of Medicine, Unit for Immunology and Allergy, Science for Life Laboratory, Karolinska Institutet and Karolinska University Hospital, SE-171 76 Stockholm, Sweden.
Maria EldhFrom the ‡Department of Medicine, Unit for Immunology and Allergy, Karolinska Institutet and Karolinska University Hospital, SE-171 76 Stockholm, Sweden.
Liza Löf§Department of Immunology, Genetics & Pathology, Science for Life Laboratory, Uppsala University, SE-751 08 Uppsala, Sweden.
K Göran Ronquist‖Department of Medical Sciences, Clinical Chemistry, Uppsala University, SE-751 85 Uppsala, Sweden.
Louise Dubois‖Department of Medical Sciences, Clinical Chemistry, Uppsala University, SE-751 85 Uppsala, Sweden.
Eva Freyhult**Department of Medical Sciences, Cancer Pharmacology and Computational Medicine, National Bioinformatics Infrastructure Sweden, Science for Life Laboratory, Uppsala University, SE-751 85 Uppsala, Sweden.
Caroline J Gallant§Department of Immunology, Genetics & Pathology, Science for Life Laboratory, Uppsala University, SE-751 08 Uppsala, Sweden.
Johan Oelrich§Department of Immunology, Genetics & Pathology, Science for Life Laboratory, Uppsala University, SE-751 08 Uppsala, Sweden.
Anders Larsson‖Department of Medical Sciences, Clinical Chemistry, Uppsala University, SE-751 85 Uppsala, Sweden.
Gunnar Ronquist‖Department of Medical Sciences, Clinical Chemistry, Uppsala University, SE-751 85 Uppsala, Sweden.
Eduardo J Villablanca¶Department of Medicine, Unit for Immunology and Allergy, Science for Life Laboratory, Karolinska Institutet and Karolinska University Hospital, SE-171 76 Stockholm, Sweden.
Ulf Landegren§Department of Immunology, Genetics & Pathology, Science for Life Laboratory, Uppsala University, SE-751 08 Uppsala, Sweden.
Susanne GabrielssonFrom the ‡Department of Medicine, Unit for Immunology and Allergy, Karolinska Institutet and Karolinska University Hospital, SE-171 76 Stockholm, Sweden.
Masood Kamali-Moghaddam§Department of Immunology, Genetics & Pathology, Science for Life Laboratory, Uppsala University, SE-751 08 Uppsala, Sweden; masood.kamali@igp.uu.se.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Extracellular vesicles (EVs) are membrane-coated objects such as exosomes and microvesicles, released by many cell-types. Their presence in body fluids and the variable surface composition and content render them attractive potential biomarkers. The ability to determine their cellular origin could greatly move the field forward. We used multiplex proximity extension assays (PEA) to identify with high specificity and sensitivity the protein profiles of exosomes of different origins, including seven cell lines and two different body fluids. By comparing cells and exosomes, we successfully identified the cells originating the exosomes. Furthermore, by principal component analysis of protein patterns human milk EVs and prostasomes released from prostate acinar cells clustered with cell lines from breast and prostate tissues, respectively. Milk exosomes uniquely expressed CXCL5, MIA, and KLK6, whereas prostasomes carried NKX31, GSTP1, and SRC, highlighting that EVs originating from different origins express distinct proteins. In conclusion, PEA provides a powerful protein screening tool in exosome research, for purposes of identifying the cell source of exosomes, or new biomarkers in diseases such as cancer and inflammation.

Indexed as

BiomarkersBody FluidsCell-Derived MicroparticlesCell LineExosomesFemaleHigh-Throughput Screening AssaysHumansK562 CellsMaleMCF-7 CellsMilk, HumanOrgan SpecificityPrincipal Component AnalysisProstateBiomarkers

Identifiers

PMID28111361
PMCPMC5341009

What OpenQuestion holds

Textmetadata
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.