↓ Skip to main content

Exosomes and Microvesicles

Overview of attention for book
Cover of 'Exosomes and Microvesicles'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Methods to Analyze EVs.
  3. Altmetric Badge
    Chapter 2 Tunable Resistive Pulse Sensing for the Characterization of Extracellular Vesicles.
  4. Altmetric Badge
    Chapter 3 Immuno-characterization of Exosomes Using Nanoparticle Tracking Analysis.
  5. Altmetric Badge
    Chapter 4 Imaging and Quantification of Extracellular Vesicles by Transmission Electron Microscopy.
  6. Altmetric Badge
    Chapter 5 Quantitative Analysis of Exosomal miRNA via qPCR and Digital PCR.
  7. Altmetric Badge
    Chapter 6 Small RNA Library Construction for Exosomal RNA from Biological Samples for the Ion Torrent PGM™ and Ion S5™ System.
  8. Altmetric Badge
    Chapter 7 A Protocol for Isolation and Proteomic Characterization of Distinct Extracellular Vesicle Subtypes by Sequential Centrifugal Ultrafiltration.
  9. Altmetric Badge
    Chapter 8 Multiplexed Phenotyping of Small Extracellular Vesicles Using Protein Microarray (EV Array).
  10. Altmetric Badge
    Chapter 9 Purification and Analysis of Exosomes Released by Mature Cortical Neurons Following Synaptic Activation.
  11. Altmetric Badge
    Chapter 10 A Method for Isolation of Extracellular Vesicles and Characterization of Exosomes from Brain Extracellular Space.
  12. Altmetric Badge
    Chapter 11 Isolation of Exosomes and Microvesicles from Cell Culture Systems to Study Prion Transmission.
  13. Altmetric Badge
    Chapter 12 Isolation of Platelet-Derived Extracellular Vesicles.
  14. Altmetric Badge
    Chapter 13 Bioinformatics Tools for Extracellular Vesicles Research.
  15. Altmetric Badge
    Chapter 14 Preparation and Isolation of siRNA-Loaded Extracellular Vesicles.
  16. Altmetric Badge
    Chapter 15 Interaction of Extracellular Vesicles with Endothelial Cells Under Physiological Flow Conditions.
  17. Altmetric Badge
    Chapter 16 Flow Cytometric Analysis of Extracellular Vesicles.
Attention for Chapter 8: Multiplexed Phenotyping of Small Extracellular Vesicles Using Protein Microarray (EV Array).
Altmetric Badge

Citations

dimensions_citation
7 Dimensions

Readers on

mendeley
27 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Chapter title
Multiplexed Phenotyping of Small Extracellular Vesicles Using Protein Microarray (EV Array).
Chapter number 8
Book title
Exosomes and Microvesicles
Published in
Methods in molecular biology, January 2017
DOI 10.1007/978-1-4939-6728-5_8
Pubmed ID
Book ISBNs
978-1-4939-6726-1, 978-1-4939-6728-5
Authors

Rikke Bæk, Malene Møller Jørgensen

Editors

Andrew F Hill

Abstract

The Extracellular Vesicle (EV) Array is based on the technology of protein microarray and provides the opportunity to detect and phenotype small EVs from unpurified starting material in a high-throughput manner (Jørgensen et al., J Extracell vesicles 2:1-9, 2013). The technology was established to perform multiplexed phenotyping of EVs in an open platform. This protocol outlines the microarray printing procedure followed by the steps of capture and detection of small extracellular vesicles from plasma/serum or cell culture supernatants. The principles of data treatment and analysis are thoroughly described as well.

Mendeley readers

The data shown below were compiled from readership statistics for 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 27 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 22%
Student > Ph. D. Student 5 19%
Other 3 11%
Student > Master 3 11%
Student > Doctoral Student 3 11%
Other 2 7%
Unknown 5 19%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 7 26%
Medicine and Dentistry 7 26%
Agricultural and Biological Sciences 4 15%
Computer Science 1 4%
Chemistry 1 4%
Other 0 0%
Unknown 7 26%