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Related Concept Videos

Proteomics01:33

Proteomics

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A proteome is the entire set of proteins that a cell type produces. We can study proteomes using the knowledge of genomes because genes code for mRNAs, and the mRNAs encode proteins. Although mRNA analysis is a step in the right direction, not all mRNAs are translated into proteins.
Proteomics is the study of proteomes' function. It involves the large-scale systematic study of the proteome to denote the protein complement expressed by a genome. Scientist Mark Wilkins coined the term...
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Related Experiment Video

Updated: Feb 27, 2026

Hydrogel Nanoparticle Harvesting of Plasma or Urine for Detecting Low Abundance Proteins
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Plasma Biomarker Identification and Quantification by Microparticle Proteomics.

Michal Harel1, Tamar Geiger2

  • 1Department of Human Molecular Genetics and Biochemistry, Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, 69978, Israel. michalharel2@post.tau.ac.il.

Methods in Molecular Biology (Clifton, N.J.)
|July 5, 2017
PubMed
Summary
This summary is machine-generated.

This study introduces PROMIS-Quan, a high-throughput method for deep plasma proteomic profiling and accurate protein quantification. It enables robust identification of potential biomarkers through microparticle extraction and SILAC quantification.

Keywords:
Absolute quantificationExtracellular vesiclesMicroparticlesPlasma biomarker discoveryPlasma fractionationRelative quantificationSuper-SILAC quantification

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Area of Science:

  • Biochemistry
  • Proteomics
  • Analytical Chemistry

Background:

  • Plasma biomarker discovery requires deep proteomic profiling and accurate quantification.
  • High-throughput methods are essential for large-scale analysis to identify strong biomarker candidates.

Purpose of the Study:

  • To describe PROMIS-Quan, a novel method for plasma microparticle fractionation.
  • To enable robust, high-throughput, SILAC-based relative and absolute quantification of plasma proteins.

Main Methods:

  • Extraction of plasma microparticles from samples.
  • Application of Super-SILAC (Stable Isotope Labeling by Amino acids in Cell culture) for quantification.
  • Development of a simple and robust workflow for deep proteomic analysis.

Main Results:

  • Detailed description of the PROMIS-Quan methodology.
  • Demonstration of SILAC-based relative and absolute quantification applied to plasma microparticles.
  • Establishment of a high-throughput approach for plasma proteomic profiling.

Conclusions:

  • PROMIS-Quan provides a simple, robust, and high-throughput method for plasma proteomic profiling.
  • The method facilitates accurate quantification of proteins, aiding biomarker discovery.
  • This approach supports large-scale analysis for identifying potential plasma biomarkers.