Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

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...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Proteomic Snapshots of Structural Cross-Linking Rearrangements in Ca<sup>2<b>+</b></sup>/Calmodulin-Dependent Kinase-1-Delta Associated with Its Regulation by ATP, Ca<sup>2<b>+</b></sup>/Calmodulin, and Reduction Potential.

Journal of proteome research·2026
Same author

Proteomics Using Draft Genomes: A Case Study in Spotted Hyena.

Journal of proteome research·2026
Same author

Integrated Proteogenomic Characterization of Human High-Grade Serous Ovarian Cancer.

Cell·2025
Same author

mzPeak: Designing a Scalable, Interoperable, and Future-Ready Mass Spectrometry Data Format.

Journal of proteome research·2025
Same author

Exploring the female genital tract mycobiome in young South African women using metaproteomics.

Microbiome·2025
Same author

Proteomic dataset of sorghum leaf and root responses to single and combined drought and heat stress.

Scientific data·2025

Related Experiment Video

Updated: May 15, 2026

Comprehensive Workflow of Mass Spectrometry-based Shotgun Proteomics of Tissue Samples
14:51

Comprehensive Workflow of Mass Spectrometry-based Shotgun Proteomics of Tissue Samples

Published on: November 13, 2021

Quality assessment for clinical proteomics.

David L Tabb1

  • 1Department of Biomedical Informatics, Vanderbilt University, USA. david.l.tabb@vanderbilt.edu

Clinical Biochemistry
|December 19, 2012
PubMed
Summary
This summary is machine-generated.

Clinical proteomics is improving with new metrics for accuracy and reproducibility. These advances are essential for reliable decision-making in clinical experiments using proteomics data.

More Related Videos

Selected Reaction Monitoring Mass Spectrometry for Absolute Protein Quantification
09:04

Selected Reaction Monitoring Mass Spectrometry for Absolute Protein Quantification

Published on: August 17, 2015

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

Related Experiment Videos

Last Updated: May 15, 2026

Comprehensive Workflow of Mass Spectrometry-based Shotgun Proteomics of Tissue Samples
14:51

Comprehensive Workflow of Mass Spectrometry-based Shotgun Proteomics of Tissue Samples

Published on: November 13, 2021

Selected Reaction Monitoring Mass Spectrometry for Absolute Protein Quantification
09:04

Selected Reaction Monitoring Mass Spectrometry for Absolute Protein Quantification

Published on: August 17, 2015

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

Area of Science:

  • Biochemistry
  • Clinical Diagnostics
  • Biotechnology

Background:

  • Proteomics applications in clinical settings are expanding.
  • Early claims of proteomic accuracy and reproducibility issues have hindered widespread adoption.
  • Challenges in managing batch effects require robust solutions for clinical proteomics.

Purpose of the Study:

  • To review the evolution of quality assessment in proteomics technologies.
  • To highlight the development of performance metrics and variability measurements for clinical proteomics.
  • To discuss how improved quality assessment supports clinical decision-making.

Main Methods:

  • Review of quality assessment evolution in 2D gel electrophoresis.
  • Analysis of mass spectrometry-based proteomic profiling and tandem mass spectrometry.
  • Examination of proteomic quantitation methods and their quality metrics.

Main Results:

  • New performance metrics and variability measurements are establishing sound expectations for clinical proteomics experiments.
  • A quality by design paradigm is being adopted to reduce experimental variability.
  • Advances are leading to the creation of valuable databases for clinical experimentation.

Conclusions:

  • Improved quality assessment is crucial for the successful clinical application of proteomics.
  • Standardized metrics and reduced variability will enhance the reliability of proteomics data.
  • The development of robust databases will aid decision-making in clinical proteomics research.