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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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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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MALDI-TOF Mass Spectrometry01:19

MALDI-TOF Mass Spectrometry

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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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Protein Networks02:26

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An organism can have thousands of different proteins, and these proteins must cooperate to ensure the health of an organism. Proteins bind to other proteins and form complexes to carry out their functions. Many proteins interact with multiple other proteins creating a complex network of protein interactions.
These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...
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Related Experiment Video

Updated: Mar 10, 2026

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

John E Wiktorowicz1, Allan R Brasier2

  • 1The University of Texas Medical Branch, Galveston, TX, USA. jowiktor@utmb.edu.

Advances in Experimental Medicine and Biology
|December 16, 2016
PubMed
Summary
This summary is machine-generated.

Biomarker panels, comprising multiple proteins and peptides, predict pathological condition risk and disease severity. These molecular indicators are crucial for advancing precision medicine by tailoring treatments to individual patient needs.

Keywords:
Clinical proteomics

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Area of Science:

  • Biochemistry
  • Molecular Biology
  • Translational Medicine

Background:

  • Biomarkers are molecular indicators used in disease prediction and treatment monitoring.
  • Single biomarkers often lack the accuracy for reliable pathological condition prediction.
  • A panel approach enhances predictive power for disease risk and severity.

Purpose of the Study:

  • To define the role and application of biomarker panels in predicting pathological conditions.
  • To highlight the utility of biomarker panels in disease severity assessment and treatment response.
  • To underscore the importance of biomarker panels for enabling precision medicine.

Main Methods:

  • Utilizing a panel of proteins and peptides as predictive biomarkers.
  • Assessing molecular indicators for disease severity and early treatment response.
  • Leveraging proteomic approaches for biomarker discovery and validation.

Main Results:

  • Biomarker panels demonstrate superior predictive capability compared to single biomarkers.
  • Panels serve as crucial molecular indicators for disease progression and therapeutic efficacy.
  • The application of biomarker panels facilitates personalized treatment strategies.

Conclusions:

  • Biomarker panels are essential for accurate prediction of pathological conditions and disease management.
  • These panels are key enablers of precision medicine, optimizing patient care.
  • Further research in proteomic-based biomarker development is vital for clinical translation.