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Updated: Jun 6, 2026
07:08
A High Throughput, Multiplexed and Targeted Proteomic CSF Assay to Quantify Neurodegenerative Biomarkers and Apolipoprotein E Isoforms Status
Published on: October 20, 2016
Clinical proteomics in neurodegenerative diseases
Jian-Ying Zhou1, John Hanfelt, Junmin Peng
1Department of Human Genetics, Center for Neurodegenerative Disease, Emory University, Atlanta, GA, USA.
Proteomics. Clinical Applications
|December 8, 2010
Summary
Proteomics studies of human brain samples are crucial for understanding neurodegenerative diseases like Alzheimer's. This review covers strategies for experimental design and data analysis to identify disease biomarkers and develop new therapies.
Area of Science:
- Neuroscience
- Proteomics
- Biomarker Discovery
Background:
- Human brain sample investigation is vital for understanding neurodegenerative diseases.
- Proteomics studies offer promise for identifying diagnostic and prognostic biomarkers.
- Elucidating disease mechanisms and accelerating therapeutic development are key goals.
Purpose of the Study:
- To review proteomics studies of human brain samples.
- To focus on strategies for experimental design and data analysis in proteomics.
- To discuss diverse proteomics platforms regarding their performance.
Main Methods:
- Review of existing proteomics literature on human brain samples.
- Analysis of experimental design strategies: sample pooling, replication, platform selection, and false discovery rate.
- Discussion of various proteomics platforms, evaluating sensitivity, throughput, and accuracy.
Main Results:
- Quantitative analysis of clinical samples is complex due to genetic, antemortem, postmortem, and experimental variables.
- Diverse proteomics platforms present varying levels of sensitivity, throughput, and accuracy.
- The complexity of the human brain and current technology limitations necessitate focused proteome analysis.
Conclusions:
- Effective experimental design and data analysis are critical for successful brain proteomics.
- Selecting appropriate proteomics platforms is essential for reliable results.
- Analyzing subsets of the proteome in a functional context may be more practical for identifying disease-related proteins amidst biological and technical noise.
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