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

You might also read

Related Articles

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

Sort by
Same author

Twelve tips for building institutional readiness for program-level assessment transformation.

Medical teacher·2026
Same author

Tau T205 phosphorylation modulates engram cell recruitment and remote memory in mice.

Nature communications·2026
Same author

Molecular dynamics simulations and fluorescence spectroscopy suggest reduced tryptophan-to-heme energy transfer facilitates lignin degradation in ClassII peroxidases.

The FEBS journal·2026
Same author

Correction: Targeted Therapy of TERT-Rearranged Neuroblastoma with BET Bromodomain Inhibitor and Proteasome Inhibitor Combination Therapy.

Clinical cancer research : an official journal of the American Association for Cancer Research·2026
Same author

Identifying regulators of associative learning using a protein-labelling approach in <i>Caenorhabditis elegans</i>.

eLife·2026
Same author

Retraction Note: Mapping NAD<sup>+</sup> metabolism in the brain of ageing Wistar rats: potential targets for influencing brain senescence.

Biogerontology·2026
Same journal

Mapping the 3D Chromosome Organization of a Biosynthetic Gene Cluster by Capture Hi-C (CHi-C).

Methods in molecular biology (Clifton, N.J.)·2026
Same journal

Mapping the 3D Chromosome Organization of Streptomyces by Hi-C.

Methods in molecular biology (Clifton, N.J.)·2026
Same journal

CUT&Tag Epigenomic Profiling of Biosynthetic Gene Clusters in Arabidopsis thaliana.

Methods in molecular biology (Clifton, N.J.)·2026
Same journal

Rhizobium rhizogenes-Mediated Hairy Root Transformation Protocol for Lotus japonicus and Other Legumes.

Methods in molecular biology (Clifton, N.J.)·2026
Same journal

Characterization of Bioactive Saponins from Sea Cucumbers.

Methods in molecular biology (Clifton, N.J.)·2026
Same journal

Methods for Functional Validation of Terpenoid Metabolic Clusters in Nicotiana benthamiana and Aspergillus oryzae.

Methods in molecular biology (Clifton, N.J.)·2026
See all related articles

Related Experiment Video

Updated: Jul 31, 2025

Preparation of Mitochondria from Ovarian Cancer Tissues and Control Ovarian Tissues for Quantitative Proteomics Analysis
11:51

Preparation of Mitochondria from Ovarian Cancer Tissues and Control Ovarian Tissues for Quantitative Proteomics Analysis

Published on: November 18, 2019

5.9K

Evaluating Cellular Viability by iTRAQ Proteomic Profiling.

Anne Poljak1, Mark Raftery1, Patsie Polly2

  • 1Bioanalytical Mass Spectrometry Facility (BMSF), Mark Wainwright Analytical Centre (MWAC), University of New South Wales, Sydney, NSW, Australia.

Methods in Molecular Biology (Clifton, N.J.)
|May 4, 2023
PubMed
Summary
This summary is machine-generated.

Cellular proteomes and metabolomes reflect cell health and viability. Proteomic analysis, particularly using isobaric tags for relative and absolute quantification (iTRAQ), quantifies these changes for insights into aging and disease.

Keywords:
Cell viabilityIsobaric tags for relative and absolute quantification (iTRAQ)Mass spectrometryProteomics

More Related Videos

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

5.3K
Viability Assays for Cells in Culture
12:03

Viability Assays for Cells in Culture

Published on: January 20, 2014

46.4K

Related Experiment Videos

Last Updated: Jul 31, 2025

Preparation of Mitochondria from Ovarian Cancer Tissues and Control Ovarian Tissues for Quantitative Proteomics Analysis
11:51

Preparation of Mitochondria from Ovarian Cancer Tissues and Control Ovarian Tissues for Quantitative Proteomics Analysis

Published on: November 18, 2019

5.9K
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

5.3K
Viability Assays for Cells in Culture
12:03

Viability Assays for Cells in Culture

Published on: January 20, 2014

46.4K

Area of Science:

  • Biochemistry
  • Cell Biology
  • Proteomics

Background:

  • Cellular health, function, and viability are influenced by proteomes and metabolomes.
  • These
  • omic
  • profiles dynamically change to maintain homeostasis and respond to stimuli.
  • Proteomic
  • fingerprints
  • offer insights into cellular aging, disease responses, and environmental adaptations.

Purpose of the Study:

  • To explore the significance of proteomic and metabolomic profiles in reflecting cellular status.
  • To introduce quantitative proteomic methods for analyzing cellular changes.
  • To focus on the isobaric tags for relative and absolute quantification (iTRAQ) method for proteomic analysis.

Main Methods:

  • Proteomic analysis to determine qualitative and quantitative changes.
  • Utilizing labeling methods for precise measurement.
  • Focusing on isobaric tags for relative and absolute quantification (iTRAQ) for identifying and quantifying proteomic expression.

Main Results:

  • Proteomic and metabolomic profiles provide a comprehensive view of cellular health and viability.
  • Dynamic changes in these profiles are crucial for maintaining cellular homeostasis.
  • iTRAQ enables accurate quantification of proteomic expression changes in cells and tissues.

Conclusions:

  • Proteomic and metabolomic analyses are vital for understanding cellular responses and viability.
  • The iTRAQ method is a powerful tool for quantitative proteomic studies.
  • Understanding proteomic changes aids in diagnosing and managing conditions like aging and disease.