Nature Communications (Jun 2021)

Quantitative single-cell proteomics as a tool to characterize cellular hierarchies

  • Erwin M. Schoof,
  • Benjamin Furtwängler,
  • Nil Üresin,
  • Nicolas Rapin,
  • Simonas Savickas,
  • Coline Gentil,
  • Eric Lechman,
  • Ulrich auf dem Keller,
  • John E. Dick,
  • Bo T. Porse

DOI
https://doi.org/10.1038/s41467-021-23667-y
Journal volume & issue
Vol. 12, no. 1
pp. 1 – 15

Abstract

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Single-cell proteomics can provide insights into the molecular basis for cellular heterogeneity. Here, the authors develop a multiplexed single-cell proteomics and computational workflow, and show that their strategy captures the cellular hierarchies in an Acute Myeloid Leukemia culture model.