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Mosaic Analysis with Double Markers (MADM) in Mice

Authors: J Sebastian, Espinosa; Joy S, Tea; Liqun, Luo;

Mosaic Analysis with Double Markers (MADM) in Mice

Abstract

The human brain comprises more than 100 billion neurons, each of which has an elaborate shape and a complex pattern of connections. To untangle this complexity, it is often useful to visualize one neuron at a time. Mosaic analysis with double markers (MADM) is a genetic method for labeling and manipulating individual neurons. This method was developed in mice and it allows simultaneous labeling and gene knockout in clones of somatic cells or isolated single cells in vivo. In MADM, labeling is achieved by using site-specific recombinases to induce the reconstitution of chimeric fluorescent proteins. Here we provide the standard procedure for utilizing MADM to examine lineage analysis, neural circuit tracing, and gene function.ROSA26-MADM is used as an example because the reagents are published and available. As MADM cassettes are introduced onto more chromosomes, genes located on these other chromosomes can be subjected to mosaic analysis in an analogous manner to that described below. We present detailed protocols with troubleshooting guides, as well as applications of the technique in tracing neural circuits, live imaging of developing neurons, and studying mechanisms of neuronal morphogenesis.

Keywords

Genetic Markers, Male, Recombination, Genetic, Integrases, Mosaicism, Dissection, Mice, Transgenic, Fluorescence, Mice, Genetic Techniques, Mutation, Animals, Humans, Female, Crosses, Genetic

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Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
11
Top 10%
Average
Average
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