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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
A multiplexed quantitative proteomics approach for investigating protein expression in the developing central nervous
Rowan P Orme1, Monte A Gates, Rosemary A Fricker-Gates
1Institute for Science and Technology in Medicine, Department of Life Sciences, Huxley Building, Keele University, Keele, Staffordshire, ST5 5BG, England, United Kingdom.
Journal of Neuroscience Methods
|June 19, 2010
Summary
Researchers developed a quantitative proteomics method to discover unknown signaling factors in the developing central nervous system (CNS). This technique can improve stem cell differentiation for treating neurodegenerative diseases.
Area of Science:
- Neuroscience
- Proteomics
- Developmental Biology
Background:
- Stem cell-derived neurons show promise for treating neurodegenerative diseases.
- Current methods struggle to produce homogenous neuronal populations for transplantation.
- Unknown in vivo signaling factors likely regulate neuronal cell fate during development.
Purpose of the Study:
- To develop a quantitative proteomics approach for identifying novel signaling factors in the developing central nervous system (CNS).
- To investigate cell signaling in the embryonic ventral midbrain, a model for dopaminergic neuron development.
Main Methods:
- Quantitative proteomics using isobaric tagging for relative and absolute quantification (iTRAQ).
- Two-dimensional liquid chromatography coupled with tandem mass spectrometry (2D-LC-MS/MS).
- Protein extraction from embryonic ventral midbrain tissue at critical developmental time points.
Main Results:
- Successfully identified proteins expressed in the developing ventral midbrain.
- Validated findings using Western blotting and immunolabelling of embryonic tissue sections.
- Demonstrated the utility of iTRAQ-based proteomics for discovering signaling molecules.
Conclusions:
- The described quantitative proteomics method is effective for identifying novel signaling factors in CNS development.
- This approach can be applied to various developmental processes.
- Improved understanding of signaling pathways could enhance stem cell differentiation for therapeutic applications.

