期刊
LABORATORY INVESTIGATION
卷 102, 期 7, 页码 762-770出版社
ELSEVIER SCIENCE INC
DOI: 10.1038/s41374-022-00778-8
关键词
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资金
- DOD EOH [W81XWH2110143, 1-DP5-864 OD019822, 1R01AG056287, 1R01AG057915, R01AG068279, 1UH3CA246633, 1U24CA224309]
- Bill and Melinda Gates Foundation
The study validated the use of MIBI-TOF for imaging proteins in human tissue and compared it to traditional immunohistochemistry methods. The results showed that MIBI-TOF can generate consistent and quantitative annotations of clinically relevant cell states and provide a scalable benchmark for multiplexed immunohistochemistry approaches.
Multiplexed ion beam imaging by time-of-flight (MIBI-TOF) uses secondary ion mass spectrometry to image dozens of proteins simultaneously in the same tissue section. The authors undertook a validation study, assessing concordance across serial sections of a tissue microarray that were independently imaged by MIBI-TOF or single-plex immunohistochemistry. They demonstrate that MIBI-TOF can generate consistent and quantitative annotations of clinically relevant cell states in archival human tissue and present a scalable framework for benchmarking multiplexed immunohistochemical approaches. Multiplexed ion beam imaging by time-of-flight (MIBI-TOF) is a form of mass spectrometry imaging that uses metal labeled antibodies and secondary ion mass spectrometry to image dozens of proteins simultaneously in the same tissue section. Working with the National Cancer Institute's (NCI) Cancer Immune Monitoring and Analysis Centers (CIMAC), we undertook a validation study, assessing concordance across a dozen serial sections of a tissue microarray of 21 samples that were independently processed and imaged by MIBI-TOF or single-plex immunohistochemistry (IHC) over 12 days. Pixel-level features were highly concordant across all 16 targets assessed in both staining intensity (R-2 = 0.94 +/- 0.04) and frequency (R-2 = 0.95 +/- 0.04). Comparison to digitized, single-plex IHC on adjacent serial sections revealed similar concordance (R-2 = 0.85 +/- 0.08) as well. Lastly, automated segmentation and clustering of eight cell populations found that cell frequencies between serial sections yielded an average correlation of R-2 = 0.94 +/- 0.05. Taken together, we demonstrate that MIBI-TOF, with well-vetted reagents and automated analysis, can generate consistent and quantitative annotations of clinically relevant cell states in archival human tissue, and more broadly, present a scalable framework for benchmarking multiplexed IHC approaches.
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