Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

High-content siRNA screening.

Eberhard Krausz1

  • 1HT-Technology Development Studio (TDS), Max Planck Institute of Molecular Cell Biology and Genetics (MPI-CBG), Pfotenhauerstrasse 108, D-01307 Dresden, Germany. krausz@mpi-cbg.de

Molecular Biosystems
|March 21, 2007
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

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

Sort by
Same author

The fluorescent two-hybrid assay to screen for protein-protein interaction inhibitors in live cells: targeting the interaction of p53 with Mdm2 and Mdm4.

Journal of biomolecular screening·2014
Same author

High-content siRNA screening for target identification and validation.

Expert opinion on drug discovery·2013
Same author

Translation of a tumor microenvironment mimicking 3D tumor growth co-culture assay platform to high-content screening.

Journal of biomolecular screening·2012
Same author

Development of a high-content screening assay to identify compounds interfering with the formation of the hepatitis C virus replication complex.

Journal of virological methods·2010
Same author

Cell-based high-content screening of small-molecule libraries.

Current opinion in chemical biology·2007
Same author

Chemotherapy compounds in cervical cancer cells primed by reconstitution of p53 function after short interfering RNA-mediated degradation of human papillomavirus 18 E6 mRNA: opposite effect of siRNA in combination with different drugs.

Molecular pharmacology·2005

High-Content Screening uses automated microscopy to analyze thousands of cells, advancing drug discovery and functional genomics. This technology aids in understanding gene function by observing cellular responses to genetic modifications.

Area of Science:

  • Cell biology
  • Genomics
  • Pharmacology

Background:

  • Automated microscopy and advanced image analysis enable high-throughput screening (HTS).
  • Modern systems capture numerous high-resolution images of fluorescently stained cells for simultaneous analysis.
  • Image analysis tools offer real-time multi-parametric pattern extraction and quantification.

Purpose of the Study:

  • To highlight the application of advanced microscopy in high-throughput screening (HTS) for drug discovery and functional genomics.
  • To discuss the integration of genomics, proteomics, and imaging data for understanding gene product function.
  • To introduce oligonucleotide-based approaches for inhibiting protein production and studying gene function.

Main Methods:

  • Utilizing automated, high-content screening microscopy for analyzing large compound libraries and RNA interference screens.

Related Experiment Videos

  • Employing multi-parametric image analysis for pattern extraction and quantification.
  • Leveraging gene annotation data from whole-genome sequencing projects.

    • Main Results:

    • Pharmaceutical companies have screened over 100,000 compounds using image-based HTS.
    • Academic research has published extensive RNA interference screens for functional genomics.
    • Significant progress in gene annotation provides a foundation for functional studies.

    Conclusions:

    • High-content screening is a powerful tool for dissecting gene function and identifying therapeutic targets.
    • Integrating diverse datasets (genomics, proteomics, imaging) is crucial for understanding complex biological systems.
    • Targeted inhibition of protein production via oligonucleotides offers a method to investigate gene product function.