RNAinteract

RNAinteract maps genetic interactions from RNAi perturbations in tissue culture cells to infer gene function and cellular network connectivity.


Key Features:

  • High-Throughput Interaction Mapping: Performs over 70,000 pairwise RNAi perturbations in tissue culture cells and identifies more than 600 interactions affecting quantitative phenotypes in Drosophila melanogaster cells.
  • Quantitative Phenotype Analysis: Processes cell number, cell area, and fluorescence intensity from multi-well plate assays to construct matrices of quantitative interaction profiles for gene-function inference.
  • Pathway Reconstruction and Network Connectivity: Analyzes interaction matrices to reconstruct signaling pathways and identify key regulators, including conserved regulators of Ras-MAPK signaling.
  • Scalability for Higher Organisms: Applies a scalable approach suitable for use in higher organisms where traditional genetic interaction mapping is challenging.
  • Reporting of Interacting Gene Pairs: Provides functions to report interacting gene pairs identified from pairwise perturbation data.
  • Data Visualization: Produces heatmaps and double RNAi plots to visualize interaction matrices and quantitative phenotype relationships.

Scientific Applications:

  • Gene Function Inference: Infers gene functions by comparing quantitative interaction profiles across pairwise perturbations.
  • Signaling Pathway Analysis: Reconstructs signaling pathways from interaction matrices to elucidate molecular mechanisms.
  • Network Connectivity Studies: Maps network connectivity and identifies key regulators within cellular networks.

Methodology:

Employs RNAi to systematically perturb genes in tissue culture cells, measures quantitative phenotypes (cell number, area, fluorescence intensity) from multi-well plate assays, constructs matrices of quantitative interaction profiles from pairwise perturbation data, and performs computational analysis of those interaction matrices to infer functional relationships and reconstruct signaling pathways.

Topics

Collections

Details

License:
Artistic-2.0
Tool Type:
command-line tool, library
Operating Systems:
Linux, Windows, Mac
Programming Languages:
R
Added:
1/17/2017
Last Updated:
12/30/2018

Operations

Data Inputs & Outputs

Publications

Horn T, Sandmann T, Fischer B, Axelsson E, Huber W, Boutros M. Mapping of signaling networks through synthetic genetic interaction analysis by RNAi. Nature Methods. 2011;8(4):341-346. doi:10.1038/nmeth.1581. PMID:21378980.

Documentation

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