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Related Concept Videos

Peptide Identification Using Tandem Mass Spectrometry01:33

Peptide Identification Using Tandem Mass Spectrometry

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...
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...

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Related Experiment Video

Updated: Jun 7, 2026

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

Differential proteomics incorporating iTRAQ labeling and multi-dimensional separations.

Ben C Collins1, Thomas Y K Lau, Stephen R Pennington

  • 1UCD School of Biomolecular and Biomedical Science and Proteome Research Centre, UCD Conway Institute, University College Dublin, Belfield, Dublin, Ireland.

Methods in Molecular Biology (Clifton, N.J.)
|October 26, 2010
PubMed
Summary
This summary is machine-generated.

Proteomics offers a sensitive approach to predict drug toxicity by analyzing protein expression in preclinical safety evaluations. This study details a workflow for semi-quantitative proteomic profiling of rat liver tissue.

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Enhanced Sample Multiplexing of Tissues Using Combined Precursor Isotopic Labeling and Isobaric Tagging (cPILOT)
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Enhanced Sample Multiplexing of Tissues Using Combined Precursor Isotopic Labeling and Isobaric Tagging (cPILOT)

Published on: May 1, 2017

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Last Updated: Jun 7, 2026

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

Enhanced Sample Multiplexing of Tissues Using Combined Precursor Isotopic Labeling and Isobaric Tagging (cPILOT)
09:06

Enhanced Sample Multiplexing of Tissues Using Combined Precursor Isotopic Labeling and Isobaric Tagging (cPILOT)

Published on: May 1, 2017

Area of Science:

  • Biomarkers
  • Drug Discovery
  • Toxicology

Background:

  • Omics-based approaches like proteomics are being integrated into preclinical safety evaluations.
  • Proteomics offers direct insights into drug-induced liabilities and potential tissue leakage markers.

Purpose of the Study:

  • To develop and describe a workflow for semi-quantitative proteomic expression profiling.
  • To evaluate the utility of proteomics in preclinical safety assessment using a hepatotoxicant model.

Main Methods:

  • Utilized a multiplexed isobaric labeling strategy for protein quantification.
  • Employed multi-dimensional liquid chromatography for enhanced separation and analysis.
  • Analyzed proteomic profiles of rat liver tissue following treatment with a known hepatotoxicant.

Main Results:

  • Successfully established a workflow for semi-quantitative proteomic profiling of liver tissue.
  • Demonstrated the potential of proteomics to identify changes in protein expression related to hepatotoxicity.
  • The workflow showed promise for sensitive detection of drug-induced toxicities.

Conclusions:

  • Proteomic analysis provides a sensitive method for preclinical safety evaluation.
  • The described workflow enables semi-quantitative expression profiling of liver proteins.
  • This approach can contribute to more accurate prediction of drug-induced toxicities.