Spatial proteomics in three-dimensional intact specimens

Research output: Contribution to journalJournal articleResearchpeer-review

  • Harsharan Singh Bhatia
  • Andreas-David Brunner
  • Furkan Öztürk
  • Saketh Kapoor
  • Zhouyi Rong
  • Hongcheng Mai
  • Mayar Ali
  • Rami Al-Maskari
  • Johannes Christian Paetzold
  • Florian Kofler
  • Mihail Ivilinov Todorov
  • Muge Molbay
  • Zeynep Ilgin Kolabas
  • Moritz Negwer
  • Luciano Hoeher
  • Hanno Steinke
  • Alina Dima
  • Basavdatta Gupta
  • Doris Kaltenecker
  • Özüm Sehnaz Caliskan
  • Daniel Brandt
  • Natalie Krahmer
  • Stephan Müller
  • Stefan Frieder Lichtenthaler
  • Farida Hellal
  • Ingo Bechmann
  • Bjoern Menze
  • Fabian Theis
  • Ali Ertürk

Spatial molecular profiling of complex tissues is essential to investigate cellular function in physiological and pathological states. However, methods for molecular analysis of large biological specimens imaged in 3D are lacking. Here, we present DISCO-MS, a technology that combines whole-organ/whole-organism clearing and imaging, deep-learning-based image analysis, robotic tissue extraction, and ultra-high-sensitivity mass spectrometry. DISCO-MS yielded proteome data indistinguishable from uncleared samples in both rodent and human tissues. We used DISCO-MS to investigate microglia activation along axonal tracts after brain injury and characterized early- and late-stage individual amyloid-beta plaques in a mouse model of Alzheimer's disease. DISCO-bot robotic sample extraction enabled us to study the regional heterogeneity of immune cells in intact mouse bodies and aortic plaques in a complete human heart. DISCO-MS enables unbiased proteome analysis of preclinical and clinical tissues after unbiased imaging of entire specimens in 3D, identifying diagnostic and therapeutic opportunities for complex diseases. VIDEO ABSTRACT.

Original languageEnglish
JournalCell
Volume185
Issue number26
Pages (from-to)5040-5058.e19
ISSN0092-8674
DOIs
Publication statusPublished - 2022

Bibliographical note

Copyright © 2022 Elsevier Inc. All rights reserved.

    Research areas

  • Mice, Humans, Animals, Proteome/analysis, Proteomics/methods, Alzheimer Disease/pathology, Amyloid beta-Peptides, Mass Spectrometry, Plaque, Amyloid

ID: 331590588