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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,...
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,...
Ribosome Profiling02:24

Ribosome Profiling

Ribosome profiling or ribo-sequencing is a deep sequencing technique that produces a snapshot of active translation in a cell. It selectively sequences the mRNAs protected by ribosomes to get an insight into a cell’s translation landscape at any given point in time.
Applications of ribosome profiling
Ribosome profiling has many applications, including in vivo monitoring of translation inside a particular organ or tissue type and quantifying new protein synthesis levels.
The technique helps...

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Related Experiment Video

Updated: Jun 6, 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

Proteomics databases and repositories.

Lennart Martens1

  • 1EMBL Outstation, European Bioinformatics Institute (EBI), Cambridge, UK. lennart.martens@ebi.ac.uk

Methods in Molecular Biology (Clifton, N.J.)
|November 18, 2010
PubMed
Summary
This summary is machine-generated.

Mass spectrometry-based proteomics generates vast data, necessitating centralized databases for public access. The ProteomExchange consortium aims to unify these systems for global data sharing.

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Last Updated: Jun 6, 2026

Mass Spectrometry-Based Proteomics Analyses Using the OpenProt Database to Unveil Novel Proteins Translated from Non-Canonical Open Reading Frames
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Navigating the Mass Spectrometry-Based Proteomic Data Using Free Computational Tools
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Navigating the Mass Spectrometry-Based Proteomic Data Using Free Computational Tools

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Area of Science:

  • Proteomics
  • Bioinformatics
  • Data Science

Background:

  • Advancements in mass spectrometry have led to a significant increase in proteomics data generation.
  • The growing volume of data necessitates robust infrastructure for public data accessibility.
  • Existing proteomics databases require integration for efficient global data sharing.

Purpose of the Study:

  • To discuss the importance of proteomics databases.
  • To outline the infrastructure required for efficient database operation.
  • To describe available proteomics database types and their stored information.

Main Methods:

  • Review of current proteomics database landscape.
  • Analysis of data storage requirements for proteomics.
  • Examination of the ProteomExchange consortium's role in data integration.

Main Results:

  • Several proteomics databases have been established.
  • Efforts are underway to integrate disparate databases.
  • The ProteomExchange consortium facilitates global data sharing.

Conclusions:

  • Centralized proteomics databases are crucial for data accessibility.
  • Standardized infrastructure and data formats are essential for efficient operation.
  • International collaboration, exemplified by ProteomExchange, is key to unifying proteomics data resources.