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MIBI-TOF: A multiplexed imaging platform relates cellular phenotypes and tissue structure

  • Leeat Keren
  • , Marc Bosse
  • , Steve Thompson
  • , Tyler Risom
  • , Kausalia Vijayaragavan
  • , Erin McCaffrey
  • , Diana Marquez
  • , Roshan Angoshtari
  • , Noah F. Greenwald
  • , Harris Fienberg
  • , Jennifer Wang
  • , Neeraja Kambham
  • , David Kirkwood
  • , Garry Nolan
  • , Thomas J. Montine
  • , Stephen J. Galli
  • , Robert West
  • , Sean C. Bendall
  • , Michael Angelo

Research output: Contribution to journalArticlepeer-review

Abstract

Understanding tissue structure and function requires tools that quantify the expression of multiple proteins while preserving spatial information. Here, we describe MIBI-TOF (multiplexed ion beam imaging by time of flight), an instrument that uses bright ion sources and orthogonal time-of-flight mass spectrometry to image metal-tagged antibodies at subcellular resolution in clinical tissue sections. We demonstrate quantitative, full periodic table coverage across a five-log dynamic range, imaging 36 labeled antibodies simultaneously with histochemical stains and endogenous elements. We image fields of view up to 800 mu m x 800 mu m at resolutions down to 260 nm with sensitivities approaching single-molecule detection. We leverage these properties to interrogate intrapatient heterogeneity in tumor organization in triple-negative breast cancer, revealing regional variability in tumor cell phenotypes in contrast to a structured immune response. Given its versatility and sample back-compatibility, MIBI-TOF is positioned to leverage existing annotated, archival tissue cohorts to explore emerging questions in cancer, immunology, and neurobiology.

Original languageEnglish
Article number5851
Number of pages16
JournalScience Advances
Volume5
Issue number10
DOIs
StatePublished - 2 Oct 2019
Externally publishedYes

ASJC Scopus subject areas

  • General

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