Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Mouse Models of Cancer Study

Mouse Models of Cancer Study

Mice have long served as models for studying human biology and pathology because of their phylogenetic and physiological similarity with humans. They are also easy to maintain and breed in the laboratory, and hence, many inbred strains are now available for research. Studies on mice have contributed immeasurably to our understanding of cancer biology.
The development of transgenic, knockout, and knock-in mice has led to an exponential increase in their use as model organisms in research,...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

Reproductive status dependent efficacy of exogenous melatonin in ameliorating bisphenol-A (BPA) induced testicular impairments in an annual gonadal cycle of Clarias batrachus.

Chemosphere·2026

Same author

A diagnostic plasma omics-biomarker for Alzheimer's disease informed by microglial single-cell transcriptomics: A pilot study.

Alzheimer's & dementia (New York, N. Y.)·2026

Same author

<i>S. aromaticum</i> aqueous extract-derived carbon dots: a biosafe antibacterial nanocatalyst for water remediation.

Journal of materials chemistry. B·2026

Same author

3D Printed Angiogenin-Functionalized Bioresorbable Tubular Conduits for Biological Vascularization.

ACS applied bio materials·2026

Same author

Identifying Flare Prone Spondyloarthritis: Insights From a Prospective Cohort.

Cureus·2026

Same author

A diagnostic plasma omics-biomarker for Alzheimer's disease informed by microglial single-cell transcriptomics: A pilot study.

bioRxiv : the preprint server for biology·2026

Same journal

Computational analysis and validation of UGT1A1/4 missense variants impacting tecovirimat metabolism in monkeypox patients.

Frontiers in systems biology·2026

Same journal

Glioma identification from microRNA biomarkers using machine learning.

Frontiers in systems biology·2026

Same journal

Prioritizing long COVID related single nucleotide polymorphisms by mining genome-wide association studies of COVID-19 susceptibility and hospitalization.

Frontiers in systems biology·2026

Same journal

Multilayer network approaches to omics data integration in digital twins for cancer research.

Frontiers in systems biology·2026

Same journal

Quorum-quenching for bacterial pathogen control and health management in aquaculture: mechanisms, applications, current status and future prospects.

Frontiers in systems biology·2026

Same journal

Multi-OCT-SelfNet: integrating self-supervised learning with multi-source data fusion for enhanced multi-class retinal disease classification.

Frontiers in systems biology·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Jul 1, 2026

Consensus Brain-derived Protein, Extraction Protocol for the Study of Human and Murine Brain Proteome Using Both 2D-DIGE and Mini 2DE Immunoblotting

Consensus Brain-derived Protein, Extraction Protocol for the Study of Human and Murine Brain Proteome Using Both 2D-DIGE and Mini 2DE Immunoblotting

Published on: April 10, 2014

Alzheimer's Disease Protein Relevance Analysis Using Human and Mouse Model Proteomics Data.

Cathy Shi¹, W Kirby Gottschalk², Carol A Colton²

¹Department of Statistical Science, Duke University, Durham, NC 27708, USA.

Frontiers in Systems Biology

|August 31, 2023

Summary

This summary is machine-generated.

This study compared statistical methods for Alzheimer's disease (AD) proteomics, finding partial least squares discriminant analysis superior for cross-species comparisons. Extracellular matrix and integrin pathways were key findings in both human and mouse models.

More Related Videos

Detecting Amyloid-β Accumulation via Immunofluorescent Staining in a Mouse Model of Alzheimer's Disease

Detecting Amyloid-β Accumulation via Immunofluorescent Staining in a Mouse Model of Alzheimer's Disease

Published on: April 19, 2021

Biochemical Purification and Proteomic Characterization of Amyloid Fibril Cores from the Brain

Biochemical Purification and Proteomic Characterization of Amyloid Fibril Cores from the Brain

Published on: April 28, 2022

Related Experiment Videos

Last Updated: Jul 1, 2026

Consensus Brain-derived Protein, Extraction Protocol for the Study of Human and Murine Brain Proteome Using Both 2D-DIGE and Mini 2DE Immunoblotting

Consensus Brain-derived Protein, Extraction Protocol for the Study of Human and Murine Brain Proteome Using Both 2D-DIGE and Mini 2DE Immunoblotting

Published on: April 10, 2014

Detecting Amyloid-β Accumulation via Immunofluorescent Staining in a Mouse Model of Alzheimer's Disease

Detecting Amyloid-β Accumulation via Immunofluorescent Staining in a Mouse Model of Alzheimer's Disease

Published on: April 19, 2021

Biochemical Purification and Proteomic Characterization of Amyloid Fibril Cores from the Brain

Biochemical Purification and Proteomic Characterization of Amyloid Fibril Cores from the Brain

Published on: April 28, 2022

Area of Science:

Neuroscience
Genetics
Biochemistry

Background:

Understanding genotype-phenotype relationships is crucial for complex diseases like Alzheimer's disease (AD).
Proteomics is extensively used to study AD pathogenesis, but cross-species statistical comparisons between human and mouse models are underexplored.
Challenges in cross-species analysis include collinearity, dimensionality reduction, and protein matching.

Purpose of the Study:

To evaluate two statistical methods for identifying proteins and pathways in Alzheimer's disease (AD) using cross-species proteomic data.
To assess the reliability of mouse models in mimicking human AD-related proteomic changes.
To inform the development of more relevant mouse models for late-onset Alzheimer's disease research.

Main Methods:

Utilized proteomic data from a well-characterized human cohort (22+ years follow-up).
Generated proteomic data from whole brains of CVN-AD mouse models and controls.
Applied and compared LASSO regression and partial least squares discriminant analysis (PLS-DA) for cross-species statistical comparison.

Main Results:

Partial least squares discriminant analysis (PLS-DA) demonstrated superior statistical performance compared to LASSO regression for proteomics analysis.
Identified dysregulation of extracellular matrix proteins and integrin-related pathways in both human AD and mouse models.
The study validated the utility of specific statistical approaches for cross-species proteomic analysis in Alzheimer's disease.

Conclusions:

Partial least squares discriminant analysis (PLS-DA) is a more effective method for cross-species proteomic comparisons in Alzheimer's disease (AD) research.
Extracellular matrix and integrin pathways represent significant biological targets in both human AD and relevant mouse models.
This validated approach enhances the reliability of mouse models for studying human late-onset Alzheimer's disease (AD).