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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...

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Related Experiment Video

Updated: May 31, 2026

Deep Proteome Profiling by Isobaric Labeling, Extensive Liquid Chromatography, Mass Spectrometry, and Software-assisted Quantification
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Deep Proteome Profiling by Isobaric Labeling, Extensive Liquid Chromatography, Mass Spectrometry, and Software-assisted Quantification

Published on: November 15, 2017

Large-scale protein profiling in human cell lines using antibody-based proteomics.

Linn Fagerberg1, Sara Strömberg, Adila El-Obeid

  • 1Department of Proteomics, School of Biotechnology, AlbaNova University Center, KTH-Royal Institute of Technology, SE-10691 Stockholm, Sweden.

Journal of Proteome Research
|July 6, 2011
PubMed
Summary
This summary is machine-generated.

This study used antibody-based proteomics to analyze protein expression in 45 cancer cell lines. Protein profiles reflect tumor origin, with hematological cell lines retaining profiles better than solid tumor lines.

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Last Updated: May 31, 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

Inducible LAP-tagged Stable Cell Lines for Investigating Protein Function, Spatiotemporal Localization and Protein Interaction Networks
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Inducible LAP-tagged Stable Cell Lines for Investigating Protein Function, Spatiotemporal Localization and Protein Interaction Networks

Published on: December 24, 2016

Area of Science:

  • Proteomics
  • Cancer Biology
  • Cell Line Characterization

Background:

  • In vitro cancer cell lines are crucial for understanding cancer biology.
  • Large-scale protein expression analysis in cell lines is lacking.

Purpose of the Study:

  • To conduct the first large-scale protein expression profiling of human cancer cell lines.
  • To investigate if protein profiles reflect tumor tissue of origin.
  • To identify differentially expressed proteins for further research.

Main Methods:

  • Antibody-based proteomics approach.
  • Analysis of 5436 proteins across 45 human cancer cell lines.
  • Utilized hierarchical clustering, principal component analysis, and two-group comparisons.

Main Results:

  • Protein expression profiles successfully categorized cell lines based on tumor origin.
  • Hematological cell lines showed higher protein profile retention than solid tumor cell lines.
  • Identified shared protein profiles between multiple myeloma/myeloid cells and lymphoid leukemia/lymphoma cells.

Conclusions:

  • Immunohistochemically determined protein profiles are valuable for cell line classification.
  • Protein expression patterns offer insights into cell line origins and relationships.
  • This study provides a resource of antibodies for cell line research.