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A High Throughput, Multiplexed and Targeted Proteomic CSF Assay to Quantify Neurodegenerative Biomarkers and Apolipoprotein E Isoforms Status
Published on: October 20, 2016
Highly multiplexed proteomic platform for biomarker discovery, diagnostics, and therapeutics
Michael R Mehan1, Rachel Ostroff, Sheri K Wilcox
1SomaLogic, Inc., 2945 Wilderness Place, Boulder, CO 80301, USA
Advances in Experimental Medicine and Biology
|February 14, 2013
Summary
This study introduces a novel proteomics technology using modified aptamers (SOMAmers) for simultaneous measurement of over a thousand proteins. This approach enables rapid, scalable biomarker discovery for real-time disease assessment and personalized medicine.
Area of Science:
- Biochemistry
- Molecular Biology
- Proteomics
Background:
- Disease progression involves complex proteomic changes.
- Proteins provide real-time health status, unlike genomic predictions.
- Current proteomics methods face limitations in scale and efficiency.
Purpose of the Study:
- To introduce a new aptamer-based proteomics technology for large-scale biomarker discovery.
- To enable simultaneous measurement of over a thousand proteins from small biological samples.
- To apply this technology for identifying protein expression changes in diseases like CKD and NSCLC.
Main Methods:
- Development of Slow Off-rate Modified Aptamers (SOMAmers) with chemically modified nucleotides.
- Utilizing SOMAmers' dual nature for protein-to-DNA signature transformation.
- Quantification of DNA signatures on commercial DNA microarray platforms.
Main Results:
- Simultaneous measurement of 1,030 proteins with sub-pM detection limits.
- Assay exhibits a dynamic range of >3 logs for individual analytes and 7 logs overall.
- High throughput capability of one million analytes per week.
Conclusions:
- The new proteomics technology is fast, economical, scalable, and flexible.
- Enables whole-proteome analysis and biomarker discovery for personalized diagnostics and therapeutics.
- Demonstrated application in identifying biomarkers for chronic kidney disease and non-small cell lung cancer.
