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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...
Protein Networks02:26

Protein Networks

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,...

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Related Experiment Video

Updated: May 15, 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

A guide for integration of proteomic data standards into laboratory workflows.

J Alberto Medina-Aunon1, Ritesh Krishna, Fawaz Ghali

  • 1Centro Nacional de Biotecnología, CSIC, Madrid, Spain. jamedina@cnb.csic.es

Proteomics
|January 16, 2013
PubMed
Summary

The Human Proteome Organization (HUPO) standards simplify proteomics data sharing. This review highlights tools that make integrating these standards into lab workflows easier for researchers.

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TMT Sample Preparation for Proteomics Facility Submission and Subsequent Data Analysis
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TMT Sample Preparation for Proteomics Facility Submission and Subsequent Data Analysis

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Last Updated: May 15, 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

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

Area of Science:

  • Proteomics
  • Bioinformatics
  • Data Standards

Background:

  • The Human Proteome Organization (HUPO) developed standard data formats and Minimum Information About a Proteomics Experiment (MIAPE) guidelines to improve scientific collaboration.
  • These standards facilitate the exchange and sharing of proteomics data across different instruments and software.
  • However, a perception exists that HUPO standards are difficult to implement in routine laboratory practices.

Purpose of the Study:

  • To review available tools for integrating HUPO proteomics data standards.
  • To identify software solutions that aid in building compliant proteomics data pipelines.
  • To address the perceived challenges in adopting HUPO standards within the scientific community.

Main Methods:

  • Literature review of existing software tools and libraries.
  • Categorization of tools based on supported data types and user scenarios (developers vs. end-users).
  • Analysis of tool functionalities for data integration and compliance checking.

Main Results:

  • A range of tools exist to support the integration of various proteomics data types.
  • Tools are available for both software developers and end-users, catering to different integration needs.
  • The reviewed tools aim to simplify the application of HUPO standards in practical settings.

Conclusions:

  • Despite perceived complexity, tools are available to facilitate the adoption and integration of HUPO proteomics standards.
  • These resources can help overcome barriers to using standard data formats and guidelines.
  • The straightforward use of these tools can enhance data sharing and reproducibility in proteomics research.