Skip to main navigation Skip to search Skip to main content

Label-free quantitative detection of tumor-derived exosomes through surface plasmon resonance imaging

  • Ling Zhu
  • , Kun Wang
  • , Jian Cui
  • , Huan Liu
  • , Xiangli Bu
  • , Huailei Ma
  • , Weizhi Wang
  • , He Gong
  • , Christopher Lausted
  • , Leroy Hood
  • , Guang Yang*
  • , Zhiyuan Hu
  • *Corresponding author for this work
  • National Center for Nanoscience and Technology
  • Beijing Proteome Research Center
  • Chinese Academy of Sciences
  • Institute for Systems Biology
  • Nanjing Medical University

Research output: Contribution to journalArticlepeer-review

Abstract

Exosomes are endosome-derived membrane vesicles carrying proteins and nucleic acids that are involved in cellular functions such as intercellular communication, protein and RNA secretion, and antigen presentation. Therefore, exosomes serve as potential biomarkers for many diseases including cancer. Because exosomes are difficult to enrich or purify from biofluids, quantification of exosomes is tedious and inaccurate. Here, we present a real-time, label-free, and quantitative method to detect and characterize tumor-derived exosomes without enrichment or purification. Utilizing surface plasmon resonance imaging (SPRi) in combination with antibody microarrays specific to the extracellular domains of exosome membrane proteins, exosomes in tumor cell culture medium can be quantitatively detected. We found a positive correlation between the metastatic potential of tumor cell lines and exosome secretion. This method provides an easy, efficient, and novel way to detect exosome secretion and thus an avenue toward the diagnosis and prognosis prediction of cancer.

Original languageEnglish
Pages (from-to)8857-8864
Number of pages8
JournalAnalytical Chemistry
Volume86
Issue number17
DOIs
Publication statusPublished - 2 Sept 2014
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Fingerprint

Dive into the research topics of 'Label-free quantitative detection of tumor-derived exosomes through surface plasmon resonance imaging'. Together they form a unique fingerprint.

Cite this