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

10.2K
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...
10.2K
Protein Networks02:26

Protein Networks

4.7K
An organism can have thousands of different proteins, and these proteins must cooperate to ensure the health of an organism. Proteins bind to other proteins and form complexes to carry out their functions. Many proteins interact with multiple other proteins creating a complex network of protein interactions.
These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...
4.7K

You might also read

Related Articles

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

Sort by
Same author

Intrathecal Mesenchymal Stem Cells in Progressive Multiple Sclerosis: A Randomized, Double-Blind, Placebo-Controlled Trial (SMART-MS).

Neurology·2026
Same author

Defective HNF1A hinders GLI3 processing favoring duodenal versus pancreatic fate, thus leading to intestinal elongation in vivo.

Genes & development·2026
Same author

Modifiable Factors Affecting the Postprandial Glycemic Response.

Journal of diabetes science and technology·2026
Same author

Human bone marrow derived mesenchymal stem cells do not promote oral cancer cell growth in vitro and metastasis in vivo.

Scientific reports·2026
Same author

Automatic Selection of Search Parameter Values for Mass Spectrometry-Based Search Engines.

Journal of proteome research·2026
Same author

Research Code Sharing in Support of Gold Standard Science.

Journal of diabetes science and technology·2026

Related Experiment Video

Updated: Apr 1, 2026

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

1.2K

Exploring the potential of public proteomics data.

Marc Vaudel1, Kenneth Verheggen2,3,4, Attila Csordas5

  • 1Proteomics Unit, Department of Biomedicine, University of Bergen, Bergen, Norway.

Proteomics
|October 10, 2015
PubMed
Summary
This summary is machine-generated.

Publicly available mass spectrometry-based proteomics data offers a wealth of untapped potential for scientific discovery. This review explores current and future opportunities for utilizing this valuable resource to advance proteomics research.

Keywords:
BioinformaticsComputational proteomicsData analysisData standardsDatabases

More Related Videos

TMT Sample Preparation for Proteomics Facility Submission and Subsequent Data Analysis
07:44

TMT Sample Preparation for Proteomics Facility Submission and Subsequent Data Analysis

Published on: June 8, 2020

13.5K
A Clinical Metaproteomics Workflow Implemented within Galaxy Bioinformatics Platform to Analyze Host-Microbiome Interactions Underlying Human Disease
09:52

A Clinical Metaproteomics Workflow Implemented within Galaxy Bioinformatics Platform to Analyze Host-Microbiome Interactions Underlying Human Disease

Published on: January 10, 2025

1.5K

Related Experiment Videos

Last Updated: Apr 1, 2026

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

1.2K
TMT Sample Preparation for Proteomics Facility Submission and Subsequent Data Analysis
07:44

TMT Sample Preparation for Proteomics Facility Submission and Subsequent Data Analysis

Published on: June 8, 2020

13.5K
A Clinical Metaproteomics Workflow Implemented within Galaxy Bioinformatics Platform to Analyze Host-Microbiome Interactions Underlying Human Disease
09:52

A Clinical Metaproteomics Workflow Implemented within Galaxy Bioinformatics Platform to Analyze Host-Microbiome Interactions Underlying Human Disease

Published on: January 10, 2025

1.5K

Area of Science:

  • Proteomics
  • Data Science
  • Scientific Transparency

Background:

  • Growing volume of publicly available mass spectrometry-based (MS) proteomics data.
  • Underutilization of this extensive data resource despite its potential for novel discoveries.
  • Increasing emphasis on scientific transparency and data sharing in research.

Purpose of the Study:

  • To review the history and current state of shared proteomics data.
  • To highlight existing and potential methods for re-analyzing and repurposing proteomics data.
  • To encourage the proteomics community to leverage public data for new insights.

Main Methods:

  • Review of literature on proteomics data sharing and reuse.
  • Categorization of data utilization into four types: use, reuse, reprocess, and repurpose.
  • Analysis of trends and opportunities in public proteomics data accessibility.

Main Results:

  • Demonstration of existing successful re-use cases for public proteomics data.
  • Identification of significant untapped potential within the growing data repositories.
  • Outline of a framework for maximizing the value of shared proteomics datasets.

Conclusions:

  • The proteomics community should actively engage with public data to drive innovation.
  • Systematic re-analysis and repurposing of existing data can yield new scientific findings.
  • Strategic utilization of shared MS-based proteomics data is crucial for future discoveries.