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Related Concept Videos

Experimental RNAi02:15

Experimental RNAi

RNA interference (RNAi) is a cellular mechanism that inhibits gene expression by suppressing its transcription or activating the RNA degradation process. The mechanism was discovered by Andrew Fire and Craig Mello in 1998 in plants. Today, it is observed in almost all eukaryotes, including protozoa, flies, nematodes, insects, parasites, and mammals. This precise cellular mechanism of gene silencing has been developed into a technique that provides an efficient way to identify and determine the...

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The FLIGHT Drosophila RNAi database: 2010 update.

David Sims1, Borisas Bursteinas, Ekta Jain

  • 1Breakthrough Breast Cancer Research Centre, The Institute of Cancer Research, London, UK. david.sims@icr.ac.uk

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Summary

FLIGHT is a new online resource for Drosophila RNA interference (RNAi) screens, enabling users to analyze, integrate, and share their data. It facilitates comprehensive data mining by combining RNAi screening results with gene expression and interaction datasets.

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Area of Science:

  • Genomics
  • Bioinformatics
  • Molecular Biology

Background:

  • High-throughput RNA interference (RNAi) screens are crucial for understanding gene function.
  • Existing resources often lack integrated analysis capabilities for diverse RNAi screening data.
  • Drosophila melanogaster serves as a powerful model organism for genetic studies.

Purpose of the Study:

  • To introduce FLIGHT, an enhanced online resource for Drosophila RNAi screens.
  • To provide tools for users to upload, analyze, integrate, and share their RNAi screening data.
  • To facilitate comprehensive data mining by integrating RNAi data with other biological datasets.

Main Methods:

  • Compilation of data from high-throughput in vivo and in vitro Drosophila RNAi screens.
  • Inclusion of RNAi reagent details, off-target predictions, screen hits, scores, and phenotypes.
  • Development of user-friendly tools for data normalization, quality control, hit detection, and comparative analysis (e.g., hierarchical clustering).
  • Integration of RNAi screen data with microarray gene expression, genomic annotations, and genetic/physical interaction datasets.

Main Results:

  • FLIGHT provides a centralized platform for Drosophila RNAi screening data.
  • The resource includes detailed information on RNAi reagents, off-target effects, and screen outcomes.
  • Users can perform advanced analyses, including multi-screen comparisons and data integration.

Conclusions:

  • FLIGHT enhances the utility of Drosophila RNAi screening data through integrated analysis and data sharing.
  • The platform supports robust data mining by combining diverse biological datasets.
  • FLIGHT empowers researchers to gain deeper insights into gene function using RNAi screening.