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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...
Tagging and Fusion Proteins01:24

Tagging and Fusion Proteins

Proteins are involved in several cellular processes and biochemical reactions. Analyzing a specific protein of interest requires it to be isolated from the other proteins in the cell. This is achieved by overexpressing the specific gene in a suitable host to produce large quantities of the target protein. A tag or label is recombined with the gene to produce a fusion protein containing the target protein and the tag. The tags on these fusion proteins can then be used for easy detection and...
Peptide Identification Using Tandem Mass Spectrometry01:33

Peptide Identification Using Tandem Mass Spectrometry

Tandem mass spectrometry, also known as MS/MS or MS2, is an analytical technique that employs two mass analyzers. Essentially it is a series of mass spectrometers that helps isolate a particular biomolecule and then helps study its chemical properties.
This technique helps gather information regarding the protein from which the peptide was obtained and to study the peptides’ amino acid sequence. Identifying peptides from a complex mixture is an important component of the growing field of...
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,...
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,...
Protein Families02:47

Protein Families

Protein families are groups of homologous proteins; that is, they have similarities in amino acid sequences and three-dimensional structures. Protein families usually occur because of gene duplication, where an additional copy of a gene is inserted into the genome of an organism.   Mutations that change the amino acids but still allow the protein to be properly synthesized, will lead to new protein family members.   If these new proteins contain similar amino acids in key locations, protein...

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Related Experiment Video

Updated: Jul 4, 2026

Mass Spectrometry-Based Proteomics Analyses Using the OpenProt Database to Unveil Novel Proteins Translated from Non-Canonical Open Reading Frames
07:38

Mass Spectrometry-Based Proteomics Analyses Using the OpenProt Database to Unveil Novel Proteins Translated from Non-Canonical Open Reading Frames

Published on: April 11, 2019

Data standards and controlled vocabularies for proteomics.

Lennart Martens1, Luisa Montecchi Palazzi, Henning Hermjakob

  • 1European Bioinformatics Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, UK.

Methods in Molecular Biology (Clifton, N.J.)
|July 2, 2008
PubMed
Summary
This summary is machine-generated.

The Human Proteome Organization (HUPO) Proteomics Standards Initiative (PSI) developed community standards for mass spectrometry and protein interaction data. These standards facilitate data sharing, storage, and dissemination in proteomics research.

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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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A Fast and Quantitative Method for Post-translational Modification and Variant Enabled Mapping of Peptides to Genomes
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A Fast and Quantitative Method for Post-translational Modification and Variant Enabled Mapping of Peptides to Genomes

Published on: May 22, 2018

Related Experiment Videos

Last Updated: Jul 4, 2026

Mass Spectrometry-Based Proteomics Analyses Using the OpenProt Database to Unveil Novel Proteins Translated from Non-Canonical Open Reading Frames
07:38

Mass Spectrometry-Based Proteomics Analyses Using the OpenProt Database to Unveil Novel Proteins Translated from Non-Canonical Open Reading Frames

Published on: April 11, 2019

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

A Fast and Quantitative Method for Post-translational Modification and Variant Enabled Mapping of Peptides to Genomes
09:10

A Fast and Quantitative Method for Post-translational Modification and Variant Enabled Mapping of Peptides to Genomes

Published on: May 22, 2018

Area of Science:

  • Proteomics
  • Bioinformatics
  • Data Standards

Background:

  • Proteomics data is large-scale, diverse, and complex.
  • Lack of standardized data formats hinders sharing and analysis.
  • Need for community-driven solutions for data interoperability.

Purpose of the Study:

  • To describe the origins and concepts of HUPO PSI standards.
  • To outline ongoing efforts in mass spectrometry proteomics standards.
  • To detail community standards for protein interaction data exchange.

Main Methods:

  • Community-based development of data exchange standards.
  • Focus on mass spectrometry proteomics data.
  • Development of standards for protein interaction data.

Main Results:

  • Established community standards for proteomics data exchange.
  • Facilitated sharing and storage of mass spectrometry data.
  • Enabled standardized reporting of protein interactions.

Conclusions:

  • HUPO PSI standards are crucial for proteomics data management.
  • These standards promote data reproducibility and collaboration.
  • Ongoing efforts ensure the evolution of proteomics data standards.