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Lineage Tracing and Clonal Analysis in Developing Cerebral Cortex Using Mosaic Analysis with Double Markers MADM
Published on: May 8, 2020
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Performing Single-Cell Clonal Analysis in the Mouse Brain Using Mosaic Analysis with Double Markers (MADM).
1Department of Neurology and Neurosurgery, Centre for Research in Neuroscience, McGill University, Montréal, QC, Canada. wei-hsiang.huang@mcgill.ca.
Methods in Molecular Biology (Clifton, N.J.)
|July 1, 2022
Summary
Mosaic Analysis with Double Markers (MADM) enables single-cell gene function studies in the mouse brain. This powerful genetic tool aids understanding of brain development, function, and disorders.
Area of Science:
- Neuroscience
- Genetics
- Developmental Biology
Background:
- Understanding human brain development requires dissecting gene functions at a cellular level.
- Neurons' complex network interactions complicate the study of individual gene functions.
- Somatic mutations in brain disorders necessitate high-resolution genetic analysis.
Purpose of the Study:
- To introduce Mosaic Analysis with Double Markers (MADM) as a method for single-cell gene function analysis in the mouse brain.
- To provide guidance on experimental design and breeding schemes for MADM application.
- To enable high spatiotemporal resolution studies of gene function in genetically defined cell types.
Main Methods:
- Mosaic Analysis with Double Markers (MADM) genetic system.
- Mouse breeding schemes designed for MADM analysis.
- High spatiotemporal resolution genetic manipulation and cell labeling.
Main Results:
- MADM allows for precise labeling and manipulation of gene function at the single-cell level.
- The method facilitates distinguishing cell-autonomous from non-cell-autonomous gene effects.
- Experimental design considerations for effective MADM implementation are presented.
Conclusions:
- MADM is a powerful genetic tool for neuroscience research.
- This system enables fundamental discoveries in brain development and function.
- MADM can be adapted to study gene function in specific cell types with high resolution.

