Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Proteomics

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...

You might also read

Related Articles

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

Sort by

Same author

scDock: streamlining drug discovery targeting cell-cell communication via scRNA-seq analysis and molecular docking.

Bioinformatics (Oxford, England)·2026

Same author

Reactive oxygen species driven immune inflammation in systemic sclerosis: mechanisms and emerging therapeutics.

Drug discovery today·2026

Same author

Mass spectrometry-based human spatial omics: fundamentals, innovations, and applications.

Journal of biomedical science·2026

Same author

Transcriptional dynamics of CD8<sup>+</sup> T-cell exhaustion in immune checkpoint inhibitor resistance at single-cell resolution.

Molecular cancer·2025

Same author

Quantitative Proteomics Unveils the Synergistic Effects of Combination Drugs on Cytoskeleton Composition and Autophagy-Mediated Cell Death in Neuroblastoma.

Journal of proteome research·2025

Same author

DHODH Blockade Induces Ferroptosis in Neuroblastoma by Modulating the Mevalonate Pathway.

Molecular & cellular proteomics : MCP·2025

Same journal

Aptamer-based inhibition of MNK1 reduces pancreatic ductal adenocarcinoma growth by targeting cancer stem cells.

Journal of biomedical science·2026

Same journal

Antifungal resistance: from classical mechanisms to the expanding role of acetyltransferases.

Journal of biomedical science·2026

Same journal

Calcium and phosphorylation coordination is a novel mechanism that stabilises protein-complexes during HIV assembly.

Journal of biomedical science·2026

Same journal

CLEC5A/TLR2 bispecific antibody suppresses dengue virus-induced pro-inflammatory cytokines production from macrophages.

Journal of biomedical science·2026

Same journal

Offense and defense: itaconate mediates bidirectional immune regulation of host-bacteria interaction.

Journal of biomedical science·2026

Same journal

Enhanced expression of ADAMTS1 in ovarian carcinomas: loss of ADAMTS1 expression instigates cellular reprogramming of extracellular matrix ensuing altered plasticity, augmented migration and attenuated adhesion.

Journal of biomedical science·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Feb 28, 2026

Quantitative Mass Spectrometric Profiling of Cancer-cell Proteomes Derived From Liquid and Solid Tumors

Quantitative Mass Spectrometric Profiling of Cancer-cell Proteomes Derived From Liquid and Solid Tumors

Published on: February 27, 2015

Quantitative proteomics in lung cancer.

Chantal Hoi Yin Cheung¹, Hsueh-Fen Juan^2,3,4

¹Institute of Molecular and Cellular Biology, National Taiwan University, Taipei, Taiwan.

Journal of Biomedical Science

|June 16, 2017

Summary

This summary is machine-generated.

Quantitative proteomics aids lung cancer research by analyzing protein differences, identifying potential biomarkers for diagnosis and drug resistance, and revealing new therapeutic targets. This approach enhances understanding of lung cancer progression and treatment strategies.

Keywords:

Biomarkers Drug targets Functional network Lung cancer Quantitative proteomics

More Related Videos

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

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

Published on: November 15, 2017

Phosphopeptide Enrichment Coupled with Label-free Quantitative Mass Spectrometry to Investigate the Phosphoproteome in Prostate Cancer

Phosphopeptide Enrichment Coupled with Label-free Quantitative Mass Spectrometry to Investigate the Phosphoproteome in Prostate Cancer

Published on: August 2, 2018

Related Experiment Videos

Last Updated: Feb 28, 2026

Quantitative Mass Spectrometric Profiling of Cancer-cell Proteomes Derived From Liquid and Solid Tumors

Quantitative Mass Spectrometric Profiling of Cancer-cell Proteomes Derived From Liquid and Solid Tumors

Published on: February 27, 2015

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

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

Published on: November 15, 2017

Phosphopeptide Enrichment Coupled with Label-free Quantitative Mass Spectrometry to Investigate the Phosphoproteome in Prostate Cancer

Phosphopeptide Enrichment Coupled with Label-free Quantitative Mass Spectrometry to Investigate the Phosphoproteome in Prostate Cancer

Published on: August 2, 2018

Area of Science:

Proteomics
Oncology
Biochemistry

Background:

Lung cancer is a leading cause of cancer mortality globally, with poor long-term survival rates.
Late diagnosis and limited personalized medicine underscore the need to understand lung cancer progression mechanisms.
Quantitative proteomics offers insights into protein abundance differences between normal and cancerous tissues.

Purpose of the Study:

To review the theoretical and practical applications of quantitative proteomics in lung cancer research.
To highlight the role of quantitative proteomics in identifying biomarkers and therapeutic targets.
To explore how protein network analysis can improve understanding of lung cancer pathways and treatment.

Main Methods:

Discussion of gel-based, label-free, stable isotope labeling, and targeted proteomics methodologies.
Analysis of quantitative proteomic data for biomarker discovery.
Construction of protein-protein interaction networks.

Main Results:

Quantitative proteomics has identified predictive markers for drug resistance in lung cancer.
Candidate biomarkers for diagnosis and prognostic markers have been discovered.
Protein network analysis aids in interpreting disease pathways and therapeutic strategies.

Conclusions:

Quantitative proteomics is a valuable tool for advancing lung cancer research.
This approach facilitates the discovery of novel molecular markers and therapeutic targets.
Enhanced understanding of lung cancer mechanisms through proteomics can improve treatment strategies.