Genetic Mosaic Analysis
Genetic Mosaic Analysis - Related Videos
10:31
The Drosophila Imaginal Disc Tumor Model: Visualization and Quantification of Gene Expression and Tumor Invasiveness Using Genetic Mosaics
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Cited by 11 •
2016
This protocol demonstrates how to generate fluorescently marked, genetically defined clonal tumors in the Drosophila eye/antennal imaginal discs (EAD). It describes how to dissect the EAD and brain from the third instar larvae and how to process them to visualize and quantify gene expression changes and tumor invasiveness.
09:42
Morphological Analysis of Drosophila Larval Peripheral Sensory Neuron Dendrites and Axons Using Genetic Mosaics
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Cited by 16 •
2011
The dendritic arborization sensory neurons of the Drosophila larval peripheral nervous system are useful models to elucidate both general and neuron class-specific mechanisms of neuron differentiation. We present a practical guide to generate and analyze dendritic arborization neuron genetic mosaics.
10:04
An Overview of Genetic Analysis
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2023
An organism’s physical traits, or phenotype, are a product of its genotype, which is the combination of alleles (gene variants) inherited from its parents. To varying degrees, genes interact with each other and environmental factors to generate traits. The distribution of alleles and traits within a population is influenced by a number of factors, including natural selection, migration, and random genetic drift.In this video, JoVE introduces some of the foundational discoveries in genetics,...
01:34
Fluid Mosaic Model
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2026
The fluid mosaic model was first proposed as a visual representation of research observations. The model comprises the composition and dynamics of membranes and serves as a foundation for future membrane-related studies. The model depicts the structure of the plasma membrane with a variety of components, which include phospholipids, proteins, and carbohydrates. These integral molecules are loosely bound, defining the cell’s border and providing fluidity for optimal function.LipidsThe most...
01:19
Fluid Mosaic Model
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2025
Scientists identified the plasma membrane in the 1890s and its principal chemical components (lipids and proteins) by 1915. The model for plasma membrane structure, proposed in 1935 by Hugh Davson and James Danielli, was the first model to be widely accepted in the scientific community. The model was based on the plasma membrane's "railroad track" appearance in early electron micrographs. Davson and Danielli theorized that the plasma membrane's structure resembled a sandwich with the analogy of...
FAQs
The key comparison is whether a genetically altered cell shows a phenotype despite developing beside genetically normal cells. A cell-autonomous effect arises from the altered cell’s own genotype, whereas a non-cell-autonomous effect reflects signals or influences from neighboring cells. Examining both populations in the same tissue helps separate these possibilities under similar developmental conditions.
Cells within the same organism experience more similar developmental and environmental conditions than cells compared across separate organisms. This internal comparison reduces the difficulty of deciding whether an observed difference results from the genetic change or from broader variation between individuals. It therefore strengthens interpretations of how a specific gene affects cell behavior or tissue development.
Genetic differences among cells can arise through postzygotic mutation, targeted recombination, or lineage-specific gene manipulation. These approaches introduce or preserve a genetic alteration after development has begun, so only selected cells or lineages carry it. The resulting mixture permits researchers to examine gene effects in particular cellular contexts rather than across the entire organism.
A mutation present throughout an organism may cause early lethality or widespread secondary effects, making the gene’s direct role difficult to interpret. Restricting the alteration to selected cells can allow other tissues to develop and provide genetically normal neighbors for comparison. This strategy can reveal gene functions that a global mutation would obscure or prevent researchers from observing.
Researchers first establish genetically distinct cell populations through a supported mosaic-generating strategy, then compare the behavior, development, or phenotype of altered and genetically normal cells. They also consider the cells’ positions and relationships with neighboring populations. Differences confined to altered cells support a direct cellular effect, while changes extending to nearby normal cells suggest local signaling or tissue-level influence.
The method can be applied to questions about development, stem cell lineages, tissue organization, disease mechanisms, and gene function. It helps reveal how particular genes influence individual cell behavior while also showing how altered cells affect surrounding tissue. These comparisons are especially informative when studying lineage relationships or conditions in which whole-organism genetic changes produce confounding effects.