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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...
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...

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Related Experiment Video

Updated: Jun 8, 2026

Deep Proteome Profiling by Isobaric Labeling, Extensive Liquid Chromatography, Mass Spectrometry, and Software-assisted Quantification
10:37

Deep Proteome Profiling by Isobaric Labeling, Extensive Liquid Chromatography, Mass Spectrometry, and Software-assisted Quantification

Published on: November 15, 2017

Visual proteomics.

Friedrich Förster1, Bong-Gyoon Han, Martin Beck

  • 1Max Planck Institute of Biochemistry, Martinsried, Germany.

Methods in Enzymology
|October 5, 2010
PubMed
Summary
This summary is machine-generated.

Visual proteomics maps protein complex locations within cells using template matching. This method, applied to Leptospira interrogans, provides practical insights for creating molecular atlases.

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Sample Preparation for Mass-spectrometry-based Proteomics Analysis of Ocular Microvessels
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Sample Preparation for Mass-spectrometry-based Proteomics Analysis of Ocular Microvessels

Published on: February 22, 2019

Related Experiment Videos

Last Updated: Jun 8, 2026

Deep Proteome Profiling by Isobaric Labeling, Extensive Liquid Chromatography, Mass Spectrometry, and Software-assisted Quantification
10:37

Deep Proteome Profiling by Isobaric Labeling, Extensive Liquid Chromatography, Mass Spectrometry, and Software-assisted Quantification

Published on: November 15, 2017

Sample Preparation for Mass-spectrometry-based Proteomics Analysis of Ocular Microvessels
11:32

Sample Preparation for Mass-spectrometry-based Proteomics Analysis of Ocular Microvessels

Published on: February 22, 2019

Area of Science:

  • Structural biology
  • Cellular imaging
  • Proteomics

Background:

  • Visual proteomics aims to create molecular atlases by determining protein complex positions and orientations within cells.
  • This is achieved through template matching, a cross-correlation technique matching protein structures to cellular densities.

Purpose of the Study:

  • To describe practical experiences with visual proteomics during the Leptospira interrogans proteome project.
  • To provide a guide for implementing visual proteomics, detailing critical experimental and computational aspects.
  • To review challenges in generating reference structures for protein complexes.

Main Methods:

  • Template matching using cross-correlation to identify protein complexes within cryoelectron tomography data.
  • Application of visual proteomics to the Leptospira interrogans proteome project.
  • Survey of protein complexes from Desulfovibrio vulgaris to assess reference structure generation.

Main Results:

  • Detailed practical experiences and implementation guidance for visual proteomics.
  • Identification of critical experimental and computational factors for success.
  • Analysis of difficulties encountered in generating reference structures for protein complexes.

Conclusions:

  • Visual proteomics is a viable method for generating molecular atlases.
  • Practical implementation requires careful consideration of experimental and computational aspects.
  • Further technical improvements are needed for optimal performance and broader application.