Disease Model Quantification
Disease Model Quantification - Related Videos
06:26
Mouse Model of Metabolic Dysfunction-Associated Steatotic Liver Disease with Fibrosis
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Cited by 1 •
2025
Mouse model of metabolic dysfunction-associated steatotic liver disease (MASLD) with metabolic dysfunction, hepatic gene expression changes, and liver histopathological alterations that resemble human MASLD, including fibrosis that progresses to advanced fibrosis stage 3. This model can be used in studies of MASLD pathophysiology and in pre-clinical studies of new therapies.
08:44
Invertebrate Lifespan Quantification
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2023
Many animals naturally stop growing upon reaching adulthood, after which they undergo aging or "senescence" until dying. The amount of time between an organism\'s birth and death is called its lifespan, which can be influenced by various biological and environmental factors. By exposing organisms to different growth conditions, scientists can better understand the factors affecting lifespan. Flies and worms are ideal organisms to perform such experiments, given their short generation time and...
09:23
Parasite Induced Genetically Driven Autoimmune Chagas Heart Disease in the Chicken Model
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Cited by 12 •
2012
The inoculation of Trypanosoma cruzi in fertile eggs prior to incubation renders the parasite kDNA minicircle integration in embryo cells genome. Crossbreeding reveals the vertical transfer of the mutations to progeny. The kDNA integrates into coding regions at several chromosomes and the chickens die with an inflammatory autoimmune heart disease.
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.
05:37
Intravitreous Injection for Establishing Ocular Diseases Model
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Cited by 36 •
2007
Intravitreous injection is a widely used technique in visual sciences research for ocular diseases or as direct application of local treatment. This video demonstrated a protocol for intravitreous injection using a 1ml syringe with glass pipette. Useful tips about avoiding massive bleeding and lens damage are given.
FAQs
Endpoints should correspond to the developmental feature or disease-associated change under investigation. Researchers may select tissue size, cell number, morphology, or marker expression when these measurements reflect the suspected disruption. Clearly defined endpoints make qualitative observations comparable across samples and help distinguish general developmental effects from changes specifically associated with disease-model phenotypes.
Controls provide the reference needed to interpret whether a measured difference reflects the disease model rather than normal variation or experimental conditions. Comparing affected models with appropriate controls allows researchers to estimate the magnitude of change in structure, cellular features, molecular markers, or behavior. This comparison also supports more consistent conclusions across experiments.
Standardization reduces avoidable differences in how samples are observed, measured, and compared. Consistent image collection, assay data handling, endpoint definitions, and measurement procedures make results more reproducible. In developmental biology, this is especially important because changes in tissue structure, cell number, or marker expression can otherwise be interpreted inconsistently between experiments or model conditions.
A practical workflow begins by defining measurable endpoints, selecting affected models and appropriate controls, and collecting standardized images or assay data. Researchers then measure features such as tissue size, cell number, morphology, or marker expression and compare the resulting values between groups. The final interpretation relates these differences to disrupted development, disease severity, or treatment response.
Images can provide measurements of structural and morphological features, while assay data can quantify cellular or molecular characteristics. Using both sources connects visible developmental changes with underlying marker expression or cell-number differences. This combined evidence can strengthen interpretation of a model and help determine whether an observed phenotype represents a broader disease-associated alteration.
Quantification is useful when an intervention is expected to alter a measurable disease-model phenotype. Researchers can compare endpoint values before or after genetic or pharmacological manipulation, using controls to identify changes in tissue size, cell number, morphology, or marker expression. The results help evaluate disease severity, detect intervention-associated effects, and determine whether the model responds in a measurable way.