Proteomics method to identification of protein profiles in exosomes

Andrew Lai, Vyjayanthi Kinhal, Zarin Nuzhat, Ramkumar Menon, Gregory E. Rice, Carlos Salomon

Research output: Chapter in Book/Report/Conference proceedingChapter

1 Scopus citations

Abstract

Exosomes are membrane-bound nanovesicles that transport molecular signals (e.g., proteins) between cells and are released from a wide range of cells, including the human placenta. Interestingly, the levels of exosomes present in maternal circulation are higher in preeclamptic pregnancies and their protein content profile change in response to the microenvironment milieu. Through the discovery of candidate biomarkers, mass spectrometry (MS)-based proteomics may provide a better understanding of the pathophysiology underlying pregnancy-associated disorders. With advances in sample preparation techniques, computational methodologies, and bioinformatics, MS-based proteomics have addressed the challenge of identifying and quantifying thousands of proteins and peptides from a variety of complex biological samples. Despite increasing interest in biomarker diagnostics, the complex nature of biological matrices (e.g., plasma) poses a challenge for candidate biomarker discovery. Here we describe a workflow to prepare exosomes for proteomic analysis.

Original languageEnglish (US)
Title of host publicationMethods in Molecular Biology
PublisherHumana Press Inc.
Pages139-153
Number of pages15
DOIs
StatePublished - Jan 1 2018

Publication series

NameMethods in Molecular Biology
Volume1710
ISSN (Print)1064-3745

Keywords

  • Biological markers
  • Exosomes
  • Extracellular vesicles
  • Mass spectrometry
  • Proteomics

ASJC Scopus subject areas

  • Molecular Biology
  • Genetics

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  • Cite this

    Lai, A., Kinhal, V., Nuzhat, Z., Menon, R., Rice, G. E., & Salomon, C. (2018). Proteomics method to identification of protein profiles in exosomes. In Methods in Molecular Biology (pp. 139-153). (Methods in Molecular Biology; Vol. 1710). Humana Press Inc.. https://doi.org/10.1007/978-1-4939-7498-6_11