Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Tracing Cellular Origin of Human Exosomes Using Multiplex Proximity Extension Assay
Uppsala University, Science for Life Laboratory, SciLifeLab.
Show others and affiliations
2017 (English)In: Molecular & cellular proteomics (online), ISSN 1535-9476, E-ISSN 1535-9484, Vol. 16, no 3, p. 502-511Article in journal (Refereed) Published
Abstract [en]

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, while 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.

Place, publisher, year, edition, pages
2017. Vol. 16, no 3, p. 502-511
National Category
Cancer and Oncology
Identifiers
URN: urn:nbn:se:uu:diva-314142DOI: 10.1074/mcp.M116.064725ISI: 000395670900013PubMedID: 28111361OAI: oai:DiVA.org:uu-314142DiVA, id: diva2:1069447
Funder
Swedish Research CouncilEU, FP7, Seventh Framework Programme, 259796 294409Swedish Cancer Society, 2013/867Stockholm County Council, 20140405Swedish Heart Lung Foundation, 20140497The Karolinska Institutet's Research FoundationCancer and Allergy FoundationAvailable from: 2017-01-28 Created: 2017-01-28 Last updated: 2017-04-20Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full textPubMed

Search in DiVA

By author/editor
Wik, LottaLöf, LizaRonquist, GöranDubois, LouiseFreyhult, EvaGallant, CarolineOelrich, JohanLarsson, AndersRonquist, GunnarLandegren, UlfKamali-Moghaddam, Masood
By organisation
Science for Life Laboratory, SciLifeLabDepartment of Immunology, Genetics and PathologyBiochemial structure and functionCancer Pharmacology and Computational MedicineMolecular tools
In the same journal
Molecular & cellular proteomics (online)
Cancer and Oncology

Search outside of DiVA

GoogleGoogle Scholar

doi
pubmed
urn-nbn

Altmetric score

doi
pubmed
urn-nbn
Total: 536 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf