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Tools for 3D Interactome Visualization

delete2018-12-06
delete26
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OA
AI
A
Andrew Keller
J
Juan D. Chavez
J
Jimmy K. Eng
Z
Zorian Thornton
J
James E. Bruce *
DOI:10.1021/acs.jproteome.8b00703delete
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Abstract

Abstract

En 中文
In cells, intra- and intermolecular interactions of proteins confer function, and the dynamic modulation of this interactome is critical to meet the changing needs required to support life. Cross-linking and mass spectrometry (XL-MS) enable the detection of both intra- and intermolecular protein interactions in organelles, cells, tissues, and organs. Quantitative XL-MS enables the detection of interactome changes in cells due to environmental, phenotypic, pharmacological, or genetic perturbations. We have developed new informatics capabilities, the first to enable 3D visualization of multiple quantitative interactome data sets, acquired over time or with varied perturbation levels, to reveal relevant dynamic interactome changes. These new tools are integrated within release 3.0 of our online cross-linked peptide database and analysis tool suite XLinkDB. With the recent rapid expansion in XL-MS for protein structural studies and the extension to quantitative XL-MS measurements, 3D interactome visualization tools are of critical need.
Keywords:
cross-linking
mass spectrometry
protein interaction networks
protein complexes
quantitative proteomics
dynamic interactome
cross-link database
heatmap
interactome movies
interaction surfaces
AI Summary

AI Summary

Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.

Journal

Journal of Proteome Research cover
Journal of Proteome Research
IF:
3.6
Papers:
9.4K
Citations:
2.3W

Organization

U
University of Washington
Scholars:
8.0W
Papers: 7.0W
Citations: 12.5W
Cited Papers

Cited Papers

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