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

Quad-Channel In Vivo Photoacoustic Multiplexing Using Tunable Gold Nanorods.

ACS nano·2026
Same author

An artificial nervous system for communication between wearable and implantable therapeutics.

bioRxiv : the preprint server for biology·2025
Same author

Electrophoresis-Based Approach for Characterizing Dendrimer-Protein Interactions: A Proof-of-Concept Study.

ACS biomaterials science & engineering·2024
Same author

Dynamic Model of Protease State and Inhibitor Trafficking to Predict Protease Activity in Breast Cancer Cells.

Cellular and molecular bioengineering·2019

Related Experiment Video

Updated: May 26, 2026

Capillary Electrophoresis Mass Spectrometry Approaches for Characterization of the Protein and Metabolite Corona Acquired by Nanomaterials
07:54

Capillary Electrophoresis Mass Spectrometry Approaches for Characterization of the Protein and Metabolite Corona Acquired by Nanomaterials

Published on: October 27, 2020

ProCAST: A Bioinformatics Suite for Mass Spectrometry-Based Protein Corona Proteomics Analysis.

Huyju Mun, Maxwell Leamy, Anika Kaushik

    Biorxiv : the Preprint Server for Biology
    |May 25, 2026
    PubMed
    Summary

    A new R-based framework, ProCAST, analyzes nanoparticle protein coronas, moving beyond descriptive heatmaps to reveal underlying adsorption mechanisms and guide experimental design for better biological interpretation.

    More Related Videos

    Resolving Affinity Purified Protein Complexes by Blue Native PAGE and Protein Correlation Profiling
    09:35

    Resolving Affinity Purified Protein Complexes by Blue Native PAGE and Protein Correlation Profiling

    Published on: April 1, 2017

    Navigating the Mass Spectrometry-Based Proteomic Data Using Free Computational Tools
    07:01

    Navigating the Mass Spectrometry-Based Proteomic Data Using Free Computational Tools

    Published on: August 19, 2025

    Related Experiment Videos

    Last Updated: May 26, 2026

    Capillary Electrophoresis Mass Spectrometry Approaches for Characterization of the Protein and Metabolite Corona Acquired by Nanomaterials
    07:54

    Capillary Electrophoresis Mass Spectrometry Approaches for Characterization of the Protein and Metabolite Corona Acquired by Nanomaterials

    Published on: October 27, 2020

    Resolving Affinity Purified Protein Complexes by Blue Native PAGE and Protein Correlation Profiling
    09:35

    Resolving Affinity Purified Protein Complexes by Blue Native PAGE and Protein Correlation Profiling

    Published on: April 1, 2017

    Navigating the Mass Spectrometry-Based Proteomic Data Using Free Computational Tools
    07:01

    Navigating the Mass Spectrometry-Based Proteomic Data Using Free Computational Tools

    Published on: August 19, 2025

    Area of Science:

    • Nanomedicine
    • Proteomics
    • Biomaterials Science

    Background:

    • Nanoparticle-protein interactions form a protein corona, influencing biological fate.
    • Current proteomics methods for protein corona analysis lack mechanistic insight and are fragmented.
    • Interpreting complex proteomics data, like heatmaps, is challenging and often descriptive.

    Purpose of the Study:

    • To develop an integrated analytical framework for protein corona proteomics.
    • To enable deeper understanding of protein adsorption mechanisms and biological implications.
    • To transition protein corona analysis from descriptive to hypothesis-driven interpretations.

    Main Methods:

    • Developed ProCAST (Protein Corona Analysis and Statistical Tool), an R-based framework.
    • Integrated proteomics data, nanoparticle metadata, and protein annotations.
    • Implemented multi-level visualization, including protein clustering and functional annotation.

    Main Results:

    • ProCAST facilitates protein clustering based on various descriptors and functional annotations.
    • The tool distinguishes between abundant and frequent proteins, offering layered information.
    • Re-analysis of existing datasets confirmed ProCAST's ability to reproduce findings and generate new hypotheses.

    Conclusions:

    • ProCAST provides a structured, comparative, and interpretable approach to protein corona analysis.
    • The framework aids in generating testable hypotheses regarding nanoparticle biological identity.
    • ProCAST enhances the understanding of protein corona formation and its impact on nanoparticle behavior.