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Hybridoma technology is used for the large-scale production of monoclonal antibodies. Monoclonal antibodies bind to only a single antigenic determinant or epitope. Such antibodies are used in research, diagnostics, and disease therapy. The hybridoma technology established in 1975 by Georges Köhler and Cesar Milstein was awarded the Nobel Prize in Medicine in 1984 for revolutionizing research and therapy.
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Generation of Alginate Microspheres for Biomedical Applications
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Generating mouse models for biomedical research: technological advances.

Channabasavaiah B Gurumurthy1,2, Kevin C Kent Lloyd3,4

  • 1Developmental Neuroscience, Munroe Meyer Institute for Genetics and Rehabilitation, University of Nebraska Medical Center, Omaha, NE 68106-5915, USA.

Disease Models & Mechanisms
|January 11, 2019
PubMed
Summary
This summary is machine-generated.

Recent advances in mouse genome manipulation offer faster, simpler, and more cost-effective techniques for generating genetically engineered mouse models of human disease. These new methods enhance the ability to study gene expression and functionally annotate the mouse genome with greater precision.

Keywords:
CRISPRGenome editingMouseMutagenesis

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Area of Science:

  • Genetics and Genomics
  • Developmental Biology
  • Disease Modeling

Background:

  • Traditional methods for creating genetically engineered mouse models (GEMMs) are often time-consuming and complex.
  • Advances in genome manipulation technologies are revolutionizing the creation and study of disease models.

Purpose of the Study:

  • To highlight recent technical advancements in mouse genome manipulation.
  • To discuss how these new technologies facilitate the generation of GEMMs for human disease research.

Main Methods:

  • Shift from conventional gene targeting via homologous recombination in embryonic stem cells to more refined zygote-based allele-specific manipulation.
  • Increased use of programmable endonucleases (e.g., CRISPR-Cas9) for efficient and straightforward mouse genome editing.

Main Results:

  • New technologies enable faster, simpler, and less costly generation of GEMMs.
  • Researchers now possess advanced molecular tools for precise gene expression studies and functional genome annotation.
  • Improved feasibility and ease of editing the mouse genome.

Conclusions:

  • Modern genome engineering techniques have transformed the landscape of mouse model generation for human disease.
  • These tools offer enhanced fidelity and specificity for studying gene function and creating relevant disease models.
  • The field is moving towards more accessible and efficient methods for genetic manipulation in mice.