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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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MALDI-TOF Mass Spectrometry01:19

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Mass spectrometry is a powerful characterization technique that can identify and separate a wide variety of compounds ranging from chemical to biological entities, based on their mass-to-charge ratio (m/z). The instruments that allow this detection, known as mass spectrometers, have three components: an ion source, a mass analyzer, and a detector. These spectrometers differ based on the nature of their ion source and analyzers.Matrix-assisted laser desorption ionization (MALDI) is a commonly...
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Peptide Identification Using Tandem Mass Spectrometry01:33

Peptide Identification Using Tandem Mass Spectrometry

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Tandem mass spectrometry, also known as MS/MS or MS2, is an analytical technique that employs two mass analyzers. Essentially it is a series of mass spectrometers that helps isolate a particular biomolecule and then helps study its chemical properties.
This technique helps gather information regarding the protein from which the peptide was obtained and to study the peptides’ amino acid sequence. Identifying peptides from a complex mixture is an important component of the growing field of...
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Related Experiment Video

Updated: May 1, 2026

A Clinical Metaproteomics Workflow Implemented within Galaxy Bioinformatics Platform to Analyze Host-Microbiome Interactions Underlying Human Disease
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A Clinical Metaproteomics Workflow Implemented within Galaxy Bioinformatics Platform to Analyze Host-Microbiome Interactions Underlying Human Disease

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Combining bioinformatics and MS-based proteomics: clinical implications.

Adelina Elena Acosta-Martin1, Lydie Lane

  • 1Department of Human Protein Sciences, Faculty of Medicine, Geneva University, Geneva, Switzerland.

Expert Review of Proteomics
|April 12, 2014
PubMed
Summary
This summary is machine-generated.

Clinical proteomics uses mass spectrometry (MS) and bioinformatics to discover protein biomarkers and therapeutic targets for disease diagnosis and treatment. This research enables the development of new clinical laboratory assays.

Keywords:
biocurationbioinformaticsbiomarker discoveryclinical chemistry proteomicsclinical proteomicsdatabasemass spectrometrysystems biology

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Area of Science:

  • Proteomics
  • Biotechnology
  • Clinical Diagnostics

Background:

  • Clinical proteomics aims to identify protein biomarkers for disease screening, diagnosis, and prognosis.
  • It also focuses on discovering protein targets for improved disease prevention and treatment.
  • Development of mass spectrometry (MS)-based assays for clinical laboratories is a key objective.

Purpose of the Study:

  • To review the main mass spectrometry (MS) approaches used in clinical proteomics.
  • To discuss bioinformatics solutions crucial for analyzing MS data in clinical research.
  • To highlight the integration of MS data with other omics data for comprehensive analysis.

Main Methods:

  • Mass spectrometry (MS) for protein identification and quantification.
  • Bioinformatics tools for database generation, data processing, and data sharing.
  • Integration of proteomics data with other omics data.

Main Results:

  • MS is increasingly applied for protein identification and quantification in clinical proteomics.
  • Bioinformatics is essential for managing and interpreting complex MS data.
  • Standardized data formats are being established for data sharing.

Conclusions:

  • Clinical proteomics research relies heavily on MS and bioinformatics.
  • These technologies are vital for biomarker discovery and therapeutic target identification.
  • The development of robust MS-based assays will advance clinical laboratory diagnostics.