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RNA-seq03:21

RNA-seq

RNA sequencing, or RNA-Seq, is a high-throughput sequencing technology used to study the transcriptome of a cell. Transcriptomics helps to interpret the functional elements of a genome and identify the molecular constituents of an organism. Additionally, it also helps in understanding the development of an organism and the occurrence of diseases. 
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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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High-throughput RNAi screening to dissect cellular pathways: a how-to guide.

Christina Falschlehner1, Sandra Steinbrink, Gerrit Erdmann

  • 1German Cancer Research Center and University of Heidelberg, Division Signaling and Functional Genomics, Heidelberg, Germany.

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|March 30, 2010
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Summary

High-throughput RNA interference (RNAi) screens are powerful for discovering gene functions and cellular pathways. This review covers RNAi screening design, application, data analysis, and validation for reliable results.

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Area of Science:

  • Molecular Biology
  • Genetics
  • Cell Biology

Background:

  • RNA interference (RNAi) is a key technique for gene function analysis.
  • Genome-wide RNAi libraries facilitate high-throughput screening in diverse cell types.
  • RNAi screens identify novel gene functions and combined loss-of-function phenotypes.

Purpose of the Study:

  • To provide an overview of high-throughput RNAi screening.
  • To discuss the design and application of RNAi screens.
  • To outline data analysis and candidate validation strategies.

Main Methods:

  • Review of current literature on RNAi screening methodologies.
  • Discussion of quantitative assay design for RNAi screens.
  • Exploration of biological context selection for RNAi experiments.

Main Results:

  • High-throughput RNAi screens complement classical genetic approaches.
  • Successful identification of previously unknown cellular pathway components.
  • Assessment of complex, multifactorial genetic interactions is enabled.

Conclusions:

  • Effective RNAi screening relies on robust quantitative assays and appropriate biological context.
  • This review offers a guide for designing, implementing, and analyzing RNAi screens.
  • Strategies for validating candidate genes identified through RNAi screening are presented.