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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.
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Related Experiment Video

Updated: Jul 16, 2026

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

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

Published on: August 2, 2015

[Protein arrays: applications and implications in neuroscience].

O Leis-Esnaola¹, J V Lafuente-Sánchez

¹Laboratorio de Neurociencia Clínica y Experimental (LANCE), Departamento de Neurociencias, Facultad de Medicina, Universidad del País Vasco, Bilbao, España. onbleeso@lg.ehu.es

Revista De Neurologia

|March 8, 2007

Summary

Protein arrays offer a powerful tool for understanding disease by analyzing protein expression and modifications. This technology aids in developing early diagnosis protocols for various conditions.

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Last Updated: Jul 16, 2026

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Area of Science:

Biomedical Research
Proteomics
Neuroscience

Background:

Genomics advances biomedical research, aiding disease physiopathology understanding.
Global studies including morphology, genomics, and protein analysis are crucial for pathology development.
Proteins are key molecules in biological structures and processes.

Purpose of the Study:

Discuss protein array methodologies and applications.
Explore protein arrays as a tool for studying the proteome in neuroscience.
Highlight protein arrays for comparative analysis of protein expression profiles.

Main Methods:

Protein arrays incorporate diverse methodologies for detecting post-transcriptional modifications.
Specific methodologies are optimized for accurate protein quantification.
Review covers various methodological approaches and their applications.

Main Results:

Protein arrays facilitate the comparative study of protein expression across different conditions.
The technology aids in identifying features distinguishing disease from health.
Applications extend to studying proteomes in neuroscience.

Conclusions:

Validated biomarkers from protein arrays show promise for early diagnosis protocols.
Technological advancements are essential for validating protein array results.
International consensus on normalization and quantification is needed for reliable results.