OpenCell: Endogenous tagging for the cartography of human cellular organization
Chan Zuckerberg Initiative (United States) · Max Planck Institute of Biochemistry · +6 more institutions
Abstract
Elucidating the wiring diagram of the human cell is a central goal of the postgenomic era. We combined genome engineering, confocal live-cell imaging, mass spectrometry, and data science to systematically map the localization and interactions of human proteins. Our approach provides a data-driven description of the molecular and spatial networks that organize the proteome. Unsupervised clustering of these networks delineates functional communities that facilitate biological discovery. We found that remarkably precise functional information can be derived from protein localization patterns, which often contain enough information to identify molecular interactions, and that RNA binding proteins form a specific…
Citation impact
- FWCI
- 47.04
- Percentile
- 100%
- References
- 106
Authors
27- NCNathan ChoCorresponding
Chan Zuckerberg Initiative (United States)
- KCKeith C. CheverallsCorresponding
Chan Zuckerberg Initiative (United States)
- ABAndreas‐David BrunnerCorresponding
Max Planck Institute of Biochemistry
- KKKibeom KimCorresponding
Chan Zuckerberg Initiative (United States)
- ACAndré C. MichaelisCorresponding
Max Planck Institute of Biochemistry
Topics & keywords
- Computational biology
- Human proteome project
- Proteome
- Cluster analysis
- Spatial analysis
- Computer science
- Biology
- Proteomics