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Related Concept Videos

Genetic Screens02:46

Genetic Screens

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Genetic screens are tools used to identify genes and mutations responsible for phenotypes of interest. Genetic screens help identify individuals or a group of people at risk of developing  genetic diseases and help them with early intervention, targeted therapy, and reproductive options.
Forward genetic screens
Forward or “classical” genetic screens involve creating random mutations in an organism’s DNA using radiation, mutagens, or insertion of additional bases, which...
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Related Experiment Video

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Cell Surface Receptor Identification Using Genome-Scale CRISPR/Cas9 Genetic Screens
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Cell-based screening: extracting meaning from complex data.

Steven Finkbeiner1, Michael Frumkin2, Paul D Kassner3

  • 1Director of the Taube/Koret Center for Neurodegenerative Disease and the Hellman Family Foundation Program in Alzheimer's Disease Research, Gladstone Institute of Neurological Disease, San Francisco, CA 94158, USA; Departments of Neurology and Physiology, University of California, San Francisco, San Francisco, CA 94143, USA.

Neuron
|April 10, 2015
PubMed
Summary
This summary is machine-generated.

Unbiased discovery methods offer new insights into central nervous system (CNS) diseases. Advances in imaging and computational tools are improving data analysis to guide future therapy development.

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Area of Science:

  • Neurobiology
  • Pharmacology
  • Medical Imaging

Background:

  • Unbiased discovery approaches are crucial for understanding central nervous system (CNS) diseases.
  • Identifying novel therapeutic targets requires innovative research strategies.

Purpose of the Study:

  • To review lessons learned from imaging-based screening in CNS disease research.
  • To highlight recent advances in computational tools for data synthesis and knowledge discovery.

Main Methods:

  • Review of imaging-based screening methodologies.
  • Analysis of computational tools for big data synthesis in neurobiology.

Main Results:

  • Imaging-based screening provides valuable neurobiological insights.
  • Advanced computational tools enhance the interpretation of complex screening data.

Conclusions:

  • Unbiased discovery approaches, particularly those using advanced imaging and computational methods, are vital for advancing CNS disease research.
  • These integrated strategies can reliably guide the development of novel therapies for neurological disorders.