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Genetic Screens

Genetic Screens

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 result in visible changes...

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Updated: Jun 18, 2026

In Vivo Functional Study of Disease-associated Rare Human Variants Using Drosophila

In Vivo Functional Study of Disease-associated Rare Human Variants Using Drosophila

Published on: August 20, 2019

GenomeRNAi: a database for cell-based RNAi phenotypes. 2009 update.

Moritz Gilsdorf¹, Thomas Horn, Zeynep Arziman

¹Division Signaling and Functional Genomics, German Cancer Research Center and University of Heidelberg, Im Neuenheimer Feld 580, D-69120 Heidelberg, Germany.

Nucleic Acids Research

|November 14, 2009

Summary

This summary is machine-generated.

The GenomeRNAi database now integrates phenotypes from RNA interference (RNAi) screens in fruit flies and humans. This enhanced resource aids cross-species gene discovery and RNAi reagent quality assessment.

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Navigating MARRVEL, a Web-Based Tool that Integrates Human Genomics and Model Organism Genetics Information

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Last Updated: Jun 18, 2026

In Vivo Functional Study of Disease-associated Rare Human Variants Using Drosophila

In Vivo Functional Study of Disease-associated Rare Human Variants Using Drosophila

Published on: August 20, 2019

Navigating MARRVEL, a Web-Based Tool that Integrates Human Genomics and Model Organism Genetics Information

Navigating MARRVEL, a Web-Based Tool that Integrates Human Genomics and Model Organism Genetics Information

Published on: August 15, 2019

Area of Science:

Genomics
Bioinformatics
Cell Biology

Background:

Cell-based RNA interference (RNAi) screens are crucial for understanding gene function.
Existing databases may lack comprehensive, cross-species phenotype data.
Accurate RNAi reagent information is vital for experimental reproducibility.

Purpose of the Study:

To update and expand the GenomeRNAi database with new features and data.
To facilitate cross-species phenotype searches and gene discovery.
To provide an updated resource for RNAi reagents and associated quality predictions.

Main Methods:

Curating and integrating phenotype data from published Drosophila and Homo sapiens RNAi screens.
Incorporating data from microscopy experiments and genome-scale screens.
Updating RNAi reagent information and adding expression profiling (RNA-Seq) data.

Main Results:

The updated GenomeRNAi database includes expanded phenotype data for Drosophila and human cells.
Cross-species phenotype searching capabilities are enhanced.
New features include support for microscopy data and curated phenotypes.
An updated catalog of RNAi reagents with predicted quality is available.

Conclusions:

The enhanced GenomeRNAi database serves as a valuable, integrated resource for RNAi screening data.
It supports comparative genomics and functional studies across species.
The database facilitates efficient identification of genes and RNAi reagents for future research.