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

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...

You might also read

Related Articles

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

Sort by
Same author

A Myocyte-Enriched Long Non-Coding RNA NRMLncR Enhances Myogenesis in Mouse.

FASEB journal : official publication of the Federation of American Societies for Experimental Biology·2026
Same author

A long-distance signaling loop promotes soybean nodulation and productivity.

Proceedings of the National Academy of Sciences of the United States of America·2026
Same author

Proteomic identification and validation of novel neuronal EV-based markers for Alzheimer's disease biomarker discovery.

bioRxiv : the preprint server for biology·2026
Same author

Coregulated metabolite networks associated with global protein crotonylation are central pathophysiological processes in prediabetes and diabetes.

medRxiv : the preprint server for health sciences·2026
Same author

Notch signaling regulates the secretion of pro-metastatic factors in extracellular vesicles in liposarcoma.

Cancer letters·2026
Same author

Comprehensive Profiling of Protein N-Terminal Acetylation Stoichiometry in Extracellular Vesicles.

Analytical chemistry·2026
Same journal

Nanotechnology-Stem Cell Strategies in 3D Glioblastoma Organoid: Targeting Glioma Stem Cells Within a Complex Tumor Microenvironment.

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

Related Experiment Video

Updated: Jun 25, 2026

An Optimized Single-Molecule Pull-Down Assay for Quantification of Protein Phosphorylation
07:45

An Optimized Single-Molecule Pull-Down Assay for Quantification of Protein Phosphorylation

Published on: June 6, 2022

Quantitative phospho-proteomics based on soluble nanopolymers.

Anton Iliuk1, W Andy Tao

  • 1Department of Biochemistry, Medicinal Chemistry and Molecular Pharmacology, Purdue University, West Lafayette, IN, USA.

Methods in Molecular Biology (Clifton, N.J.)
|February 26, 2009
PubMed
Summary
This summary is machine-generated.

This study introduces two nanopolymer-based methods for enriching phosphopeptides, crucial for understanding cell signaling in diseases like cancer and diabetes. These techniques improve phosphoprotein identification and mapping in mass spectrometry-based proteomics.

More Related Videos

Phosphopeptide Enrichment Coupled with Label-free Quantitative Mass Spectrometry to Investigate the Phosphoproteome in Prostate Cancer
12:23

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

Published on: August 2, 2018

Quantitative Phosphoproteomics in Fatty Acid Stimulated Saccharomyces cerevisiae
15:41

Quantitative Phosphoproteomics in Fatty Acid Stimulated Saccharomyces cerevisiae

Published on: October 12, 2009

Related Experiment Videos

Last Updated: Jun 25, 2026

An Optimized Single-Molecule Pull-Down Assay for Quantification of Protein Phosphorylation
07:45

An Optimized Single-Molecule Pull-Down Assay for Quantification of Protein Phosphorylation

Published on: June 6, 2022

Phosphopeptide Enrichment Coupled with Label-free Quantitative Mass Spectrometry to Investigate the Phosphoproteome in Prostate Cancer
12:23

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

Published on: August 2, 2018

Quantitative Phosphoproteomics in Fatty Acid Stimulated Saccharomyces cerevisiae
15:41

Quantitative Phosphoproteomics in Fatty Acid Stimulated Saccharomyces cerevisiae

Published on: October 12, 2009

Area of Science:

  • Proteomics
  • Biochemistry
  • Molecular Biology

Background:

  • Phospho-proteomics globally analyzes protein phosphorylation, vital for disease research (cancer, diabetes).
  • Mass spectrometry is key for protein phosphorylation profiling.
  • Sub-stoichiometric phosphorylation presents challenges in phosphoprotein and phosphosite identification.

Purpose of the Study:

  • To present two novel nanopolymer-based methods for effective phosphopeptide enrichment.
  • To overcome challenges in mass spectrometry-based phospho-proteomics.
  • To enable reproducible and efficient quantitative phospho-proteomics.

Main Methods:

  • Method 1: Reversible phosphoramidate bond formation between nanopolymers and phosphopeptides for size-based filtering.
  • Method 2: Selective chelation of phosphopeptides to functionalized nanopolymers (zirconia/titania) using hydrazide chemistry for solid-phase isolation.
  • Integration with stable isotope labeling for quantitative analysis.

Main Results:

  • Demonstrated robust phosphopeptide enrichment using both nanopolymer strategies.
  • Achieved selective isolation of phosphopeptides from complex mixtures.
  • Enabled reproducible and efficient quantitative phospho-proteomics.

Conclusions:

  • The presented nanopolymer-based methods offer effective solutions for phosphopeptide enrichment.
  • These strategies enhance the identification and mapping of phosphosites in complex samples.
  • The methods facilitate advancements in understanding disease mechanisms through quantitative phospho-proteomics.