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

TMPRSS2-mediated coronavirus spike activation and inhibition.

Nature structural & molecular biology·2026

Same author

Understanding <i>m</i>/<i>z</i> Range Settings for MS/MS Scans: A Case Study with Intact Glycopeptides.

Journal of the American Society for Mass Spectrometry·2026

Same author

Profiling Glycoproteins Enriched by Multinanoparticle Protein Corona.

Analytical chemistry·2026

Same author

Antibody-lectin chimeras for glyco-immune checkpoint blockade.

Nature biotechnology·2025

Same author

Antibodies disrupt bacterial adhesion by ligand mimicry and allosteric interference.

Nature communications·2025

Same author

Sialoglycans on human T cells attenuate death programs executed through the Fas pathway.

bioRxiv : the preprint server for biology·2025

Same journal

Layered social competition coordinates reproductive hierarchy formation in ants.

bioRxiv : the preprint server for biology·2026

Same journal

Combination epigenetic-targeted therapy increases the immunogenicity of poorly immunogenic sarcomas.

bioRxiv : the preprint server for biology·2026

Same journal

Loss of LanC-like proteins delays post-injury regeneration of aging skeletal muscles.

bioRxiv : the preprint server for biology·2026

Same journal

Integrative Transfer Network: Deep Transfer Learning Across Populations and Prediction Targets.

bioRxiv : the preprint server for biology·2026

Same journal

Confidence-supported label-free metabolic imaging with FPhaS phase autofluorescence microscopy.

bioRxiv : the preprint server for biology·2026

Same journal

Sequence-encoded autoinhibition couples mRNA decapping activity to phase separation.

bioRxiv : the preprint server for biology·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Apr 4, 2026

Glycomics-Guided Glycoproteomics Facilitates Comprehensive Profiling of the Glycoproteome in Complex Tumor Microenvironments

Glycomics-Guided Glycoproteomics Facilitates Comprehensive Profiling of the Glycoproteome in Complex Tumor Microenvironments

Published on: February 7, 2025

GlycoDiveR: a modular R framework to analyze and visualize highly dimensional glycoproteomics data.

Tim S Veth¹, Nicholas M Riley¹

¹University of Washington, Department of Chemistry, Seattle, WA, 98195.

Biorxiv : the Preprint Server for Biology

|April 3, 2026

Summary

This summary is machine-generated.

Visualizing complex glycoproteomics data is challenging due to glycan microheterogeneity. GlycoDiveR is a new R framework that simplifies analysis and visualization of these datasets, making glycoproteomic insights more accessible.

Keywords:

Bioinformatics Data Visualization Glycobiology Glycoproteomics Glycosylation Mass spectrometry R framework

More Related Videos

Divergence of Root Microbiota in Different Habitats based on Weighted Correlation Networks

Divergence of Root Microbiota in Different Habitats based on Weighted Correlation Networks

Published on: September 25, 2021

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

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

Published on: August 19, 2025

Related Experiment Videos

Last Updated: Apr 4, 2026

Glycomics-Guided Glycoproteomics Facilitates Comprehensive Profiling of the Glycoproteome in Complex Tumor Microenvironments

Glycomics-Guided Glycoproteomics Facilitates Comprehensive Profiling of the Glycoproteome in Complex Tumor Microenvironments

Published on: February 7, 2025

Divergence of Root Microbiota in Different Habitats based on Weighted Correlation Networks

Divergence of Root Microbiota in Different Habitats based on Weighted Correlation Networks

Published on: September 25, 2021

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

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

Published on: August 19, 2025

Area of Science:

Biochemistry
Bioinformatics
Computational Biology

Background:

Mass spectrometry-based glycoproteomics is crucial for studying protein glycosylation.
Visualizing multidimensional glycoproteomics data is a significant bottleneck.
Existing visualization tools often require advanced programming skills and lack broad applicability.

Purpose of the Study:

To harmonize post-search data analysis for glycoproteomics.
To develop a user-friendly R framework for glycoproteomics data exploration.
To improve accessibility of glycoproteomic analyses and biological insights.

Main Methods:

Development of a modular R framework named GlycoDiveR.
Streamlining import, transformation, and curation of glycopeptide identifications.
Support for raw output from multiple mass spectrometry search engines.

Main Results:

GlycoDiveR enables fast, flexible exploration of high-dimensional glycoproteomics datasets.
Provides a customizable set of glycosylation-specific visualizations with minimal coding.
Integrates seamlessly into existing analysis workflows with a consistent data architecture.

Conclusions:

GlycoDiveR lowers the barrier to exploring biological narratives within glycoproteomic datasets.
The modular design supports continuous addition of new features.
The open-source platform enhances accessibility for researchers in glycoproteomics.