High-Dimensional Tissue Profiling by Multiplexed Ion Beam Imaging

Ofer Elhanani; Leeat Keren; Michael Angelo

doi:10.1007/978-1-0716-1771-7_10

High-Dimensional Tissue Profiling by Multiplexed Ion Beam Imaging

Ofer Elhanani, Leeat Keren, Michael Angelo

Department of Molecular Cell Biology

Research output: Chapter in Book/Report/Conference proceeding › Chapter

4 Citations (Scopus)

Abstract

Multiplexed Ion Beam Imaging by Time of Flight (MIBI-TOF) enables high-dimensional imaging in situ of clinical specimens at single-cell resolution. In MIBI-TOF, tissue sections are stained with dozens of metal-labeled antibodies, whose abundance and location are read by secondary ionization mass spectrometry. The result is a multi-dimensional image, depicting sub-cellular expression and localization for dozens of distinct proteins in situ. Here, we describe the staining and imaging procedures of a MIBI-TOF experiment.

Original language	English
Title of host publication	Single-Cell Protein Analysis
Publisher	Springer New York
Pages	147-156
Number of pages	10
ISBN (Electronic)	1071617710
ISBN (Print)	1071617702
DOIs	https://doi.org/10.1007/978-1-0716-1771-7_10
Publication status	Published - 2022

Publication series

Series	Methods in Molecular Biology
Volume	2386

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Publisher Copyright:
© 2022, The Author(s), under exclusive license to Springer Science+Business Media, LLC, part of Springer Nature.

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10.1007/978-1-0716-1771-7_10

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abstract = "Multiplexed Ion Beam Imaging by Time of Flight (MIBI-TOF) enables high-dimensional imaging in situ of clinical specimens at single-cell resolution. In MIBI-TOF, tissue sections are stained with dozens of metal-labeled antibodies, whose abundance and location are read by secondary ionization mass spectrometry. The result is a multi-dimensional image, depicting sub-cellular expression and localization for dozens of distinct proteins in situ. Here, we describe the staining and imaging procedures of a MIBI-TOF experiment.",

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ER -

High-Dimensional Tissue Profiling by Multiplexed Ion Beam Imaging

Abstract

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