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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...
Ribosome Profiling02:24

Ribosome Profiling

Ribosome profiling or ribo-sequencing is a deep sequencing technique that produces a snapshot of active translation in a cell. It selectively sequences the mRNAs protected by ribosomes to get an insight into a cell’s translation landscape at any given point in time.
Applications of ribosome profiling
Ribosome profiling has many applications, including in vivo monitoring of translation inside a particular organ or tissue type and quantifying new protein synthesis levels.
The technique helps...

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Related Experiment Video

Updated: Jul 14, 2026

Label-Free Quantitative Proteomics Workflow for Discovery-Driven Host-Pathogen Interactions
05:37

Label-Free Quantitative Proteomics Workflow for Discovery-Driven Host-Pathogen Interactions

Published on: October 20, 2020

Quantitative profile of five murine core proteomes using label-free functional proteomics.

Pedro R Cutillas1, Bart Vanhaesebroeck

  • 1Cell Signalling Group, Ludwig Institute for Cancer Research, London, UK. p.cutillas@qmul.ac.uk

Molecular & Cellular Proteomics : MCP
|June 15, 2007
PubMed
Summary

This study introduces a label-free proteomics method for analyzing mouse tissues, enabling the quantification of thousands of proteins across unlimited samples. This approach simplifies workflows and provides insights into organ-specific proteomes.

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Proteome-wide Quantification of Labeling Homogeneity at the Single Molecule Level
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Proteome-wide Quantification of Labeling Homogeneity at the Single Molecule Level

Published on: April 19, 2019

Related Experiment Videos

Last Updated: Jul 14, 2026

Label-Free Quantitative Proteomics Workflow for Discovery-Driven Host-Pathogen Interactions
05:37

Label-Free Quantitative Proteomics Workflow for Discovery-Driven Host-Pathogen Interactions

Published on: October 20, 2020

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

Proteome-wide Quantification of Labeling Homogeneity at the Single Molecule Level
08:29

Proteome-wide Quantification of Labeling Homogeneity at the Single Molecule Level

Published on: April 19, 2019

Area of Science:

  • Proteomics
  • Biomedical Research
  • Mammalian Tissue Analysis

Background:

  • Comparative proteomics of primary tissues requires efficient, scalable methods.
  • Current workflows can be complex and limit sample throughput.

Purpose of the Study:

  • To develop and apply a label-free quantitative proteomics approach for analyzing mouse core proteomes.
  • To enable high-throughput comparative analysis of primary tissues and cultured cells.
  • To establish a method for both relative and absolute protein quantification.

Main Methods:

  • Utilized liquid chromatography-tandem mass spectrometry (LC-MS/MS) for label-free quantitative proteomics.
  • Developed custom software and normalization procedures for data analysis.
  • Analyzed five major mouse organ proteomes (brain, heart, kidney, liver, lung).

Main Results:

  • Successfully quantified approximately 1,000 most abundant proteins across mouse tissues.
  • Generated over 44,000 independent data points from 8,800 MS/MS spectra.
  • Identified significant similarities and differences between organ-specific proteomes.

Conclusions:

  • Label-free quantitative mass spectrometry offers a straightforward, scalable workflow for primary tissue proteome characterization.
  • This method facilitates the molecular-level phenotyping of mammalian tissues.
  • The generated dataset provides a quantitative profile of the mouse fundamental proteome.