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Updated: May 24, 2025

A High Throughput, Multiplexed and Targeted Proteomic CSF Assay to Quantify Neurodegenerative Biomarkers and Apolipoprotein E Isoforms Status
Published on: October 20, 2016
High Dimensional Proteomic Multiplex Imaging of the Central Nervous System Using the COMET™ System
Hinda Najem1,2, Sebastian Pacheco1,2, Jillyn Turunen1,2
1Department of Neurological Surgery, Northwestern University, Chicago, IL.
This study introduces a new automated platform for analyzing human central nervous system (CNS) tissue, enabling detailed cell profiling with off-the-shelf reagents and improving throughput for neuroscience research.
Area of Science:
- Neuroscience
- Biotechnology
- Medical Imaging
Background:
- Sequential multiplex methods require antibody modification, limiting reagent use and necessitating validation.
- Fixed antibody panels face limitations like spectral overlap, steric hindrance, and tissue degradation.
- Current methods for CNS cell profiling are often low-throughput and lack flexibility.
Purpose of the Study:
- To develop and validate a CNS-specific antibody library and analysis platform for high-throughput cell profiling.
- To leverage the automated Lunaphore COMET™ platform for label-free primary antibodies and secondary antibody detection.
- To address the unmet need for flexible and efficient spatial profiling in the human central nervous system.
Main Methods:
- Utilized the automated Lunaphore COMET™ platform for staining and imaging formalin-fixed paraffin-embedded (FFPE) CNS histology slides.
- Developed and validated a CNS-specific antibody library, including strategies for managing CNS autofluorescence.
- Employed off-the-shelf label-free primary antibodies and fluorophore-labeled secondary antibodies for automated slide processing.
Main Results:
- Successfully cataloged and validated a large series of antibodies for CNS spatial profiling on the COMET™ platform.
- Achieved subcellular-level visualization and quantification of cell populations and networks within the CNS.
- Demonstrated the capability to analyze up to 40 analytes per specimen, with significant clinical utility for limited CNS biopsy samples.
Conclusions:
- Established a general framework for imaging and quantifying cell populations and networks within the CNS.
- Provided the scientific community with optimized standard operating procedures for CNS spatial profiling.
- The developed platform offers a flexible and efficient solution for advancing neuroscience research and diagnostics.
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