OpenCell: Endogenous tagging for the cartography of human cellular organization

Science. 2022 Mar 11;375(6585):eabi6983. doi: 10.1126/science.abi6983. Epub 2022 Mar 11.


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 subgroup defined by unique interaction and localization properties. Paired with a fully interactive website (, our work constitutes a resource for the quantitative cartography of human cellular organization.

Publication types

  • Research Support, N.I.H., Extramural
  • Research Support, Non-U.S. Gov't

MeSH terms

  • CRISPR-Cas Systems
  • Cluster Analysis
  • Datasets as Topic
  • Fluorescent Dyes
  • HEK293 Cells
  • Humans
  • Immunoprecipitation
  • Machine Learning
  • Mass Spectrometry
  • Microscopy, Confocal
  • Protein Interaction Mapping*
  • Proteins / metabolism*
  • Proteome / metabolism*
  • Proteomics / methods*
  • RNA-Binding Proteins / metabolism
  • Spatial Analysis


  • Fluorescent Dyes
  • Proteins
  • Proteome
  • RNA-Binding Proteins