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Related Concept Videos

Proteomics01:33

Proteomics

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 proteomics...
DNA Microarrays02:34

DNA Microarrays

Microarrays are high-throughput and relatively inexpensive assays that can be automated to analyze large quantities of data at a time. They are used in genome-wide studies to compare gene or protein expression under two varied conditions, such as healthy and diseased states. Microarrays consist of glass or silica slides on which probe molecules are covalently attached through surface functionalization. Most commonly, the slides are prepared through the chemisorption of silanes to silica...

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Related Experiment Video

Updated: Jun 6, 2026

Deep Proteome Profiling by Isobaric Labeling, Extensive Liquid Chromatography, Mass Spectrometry, and Software-assisted Quantification
10:37

Deep Proteome Profiling by Isobaric Labeling, Extensive Liquid Chromatography, Mass Spectrometry, and Software-assisted Quantification

Published on: November 15, 2017

Protein microarray platforms for clinical proteomics.

Harvey B Pollard1, Meera Srivastava, Ofer Eidelman

  • 1Department of Anatomy, Physiology and Genetics, Uniformed Services University School of Medicine, USUHS, Bethesda, MD, USA. hpollard@usuhs.mil.

Proteomics. Clinical Applications
|December 8, 2010
PubMed
Summary
This summary is machine-generated.

Clinical proteomics is evolving, moving beyond traditional methods. Antibody-centric protein microarrays offer promising solutions for challenges in clinical proteomics, enabling broader disease applications.

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Probing High-density Functional Protein Microarrays to Detect Protein-protein Interactions

Published on: August 2, 2015

Area of Science:

  • Clinical proteomics
  • Biotechnology
  • Systems biology

Background:

  • Classical proteomics methods (2-DE, MS) face challenges like sample complexity, sensitivity, and reproducibility.
  • Emerging technologies are needed to advance clinical proteomics applications.

Purpose of the Study:

  • To highlight antibody-centric protein microarray platforms as a key technology for clinical proteomics.
  • To discuss the current state and future potential of these platforms.

Main Methods:

  • Utilizing antibody microarrays, lysate/reverse capture/reverse phase protein microarrays.
  • Exploring emerging platforms like ORF and self-assembling protein microarrays.
  • Leveraging maturing bioinformatics support from systems biology.

Main Results:

  • Protein microarray platforms are currently applied to cancers, immunology, and cystic fibrosis.
  • These platforms are expected to expand to numerous other disease entities.
  • Future advancements will include label-free detection and genome-scale analysis.

Conclusions:

  • Antibody-centric protein microarrays are crucial for overcoming current clinical proteomics limitations.
  • The evolution of these platforms promises wider disease coverage and enhanced analytical capabilities.