Nature Communications (Jan 2020)

Automated mass spectrometry imaging of over 2000 proteins from tissue sections at 100-μm spatial resolution

  • Paul D. Piehowski,
  • Ying Zhu,
  • Lisa M. Bramer,
  • Kelly G. Stratton,
  • Rui Zhao,
  • Daniel J. Orton,
  • Ronald J. Moore,
  • Jia Yuan,
  • Hugh D. Mitchell,
  • Yuqian Gao,
  • Bobbie-Jo M. Webb-Robertson,
  • Sudhansu K. Dey,
  • Ryan T. Kelly,
  • Kristin E. Burnum-Johnson

DOI
https://doi.org/10.1038/s41467-019-13858-z
Journal volume & issue
Vol. 11, no. 1
pp. 1 – 12

Abstract

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Imaging mass spectrometry is a powerful emerging tool for mapping the spatial distribution of biomolecules across tissue surfaces. Here the authors showcase an automated technology for deep proteome imaging that utilizes ultrasensitive microfluidics and a mass spectrometry workflow to analyze tissue voxels, generating quantitative cell-type-specific images.