- Main
Single-cell spatial proteomic imaging for human neuropathology.
- Vijayaragavan, Kausalia;
- Cannon, Bryan;
- Tebaykin, Dmitry;
- Bossé, Marc;
- Baranski, Alex;
- Oliveria, J;
- Bukhari, Syed;
- Mrdjen, Dunja;
- Corces, M;
- McCaffrey, Erin;
- Greenwald, Noah;
- Sigal, Yari;
- Marquez, Diana;
- Khair, Zumana;
- Bruce, Trevor;
- Goldston, Mako;
- Bharadwaj, Anusha;
- Montine, Kathleen;
- Angelo, R;
- Montine, Thomas;
- Bendall, Sean
- et al.
Published Web Location
https://doi.org/10.1186/s40478-022-01465-xAbstract
Neurodegenerative disorders are characterized by phenotypic changes and hallmark proteopathies. Quantifying these in archival human brain tissues remains indispensable for validating animal models and understanding disease mechanisms. We present a framework for nanometer-scale, spatial proteomics with multiplex ion beam imaging (MIBI) for capturing neuropathological features. MIBI facilitated simultaneous, quantitative imaging of 36 proteins on archival human hippocampus from individuals spanning cognitively normal to dementia. Customized analysis strategies identified cell types and proteopathies in the hippocampus across stages of Alzheimers disease (AD) neuropathologic change. We show microglia-pathologic tau interactions in hippocampal CA1 subfield in AD dementia. Data driven, sample independent creation of spatial proteomic regions identified persistent neurons in pathologic tau neighborhoods expressing mitochondrial protein MFN2, regardless of cognitive status, suggesting a survival advantage. Our study revealed unique insights from multiplexed imaging and data-driven approaches for neuropathologic analysis and serves broadly as a methodology for spatial proteomic analysis of archival human neuropathology. TEASER: Multiplex Ion beam Imaging enables deep spatial phenotyping of human neuropathology-associated cellular and disease features.
Many UC-authored scholarly publications are freely available on this site because of the UC's open access policies. Let us know how this access is important for you.
Main Content
Enter the password to open this PDF file:
-
-
-
-
-
-
-
-
-
-
-
-
-
-