Literature DB >> 23484926

High-content siRNA screening for target identification and validation.

Eberhard Krausz1, Kerstin Korn.   

Abstract

BACKGROUND: Automated microscopy and image analysis have progressed tremendously over the past 10 years and opened up a new era of high-content screening. In parallel, RNA interference (RNAi) has revolutionized the functional analysis of genes.
OBJECTIVE: The focus of this review is screening of RNAi libraries, and in particular in screening of short interfering RNA (siRNA) libraries for target identification and validation in mammalian cell systems.
METHODS: Recent literature of high-content siRNA screening in oncology, in intracellular trafficking and infection biology, and in neurobiology is reviewed and placed in the context of a discussion on hit verification. RESULTS/
CONCLUSION: Various methods have been established for the application of RNAi in mammalian cells also, which allows efficient and reproducible silencing of individual genes to gain functional information on each individual gene. Complex multi-parametric cell-based assays, combined with both technologies, provide an extraordinary valuable tool to help understand biological and pathological processes in a systematic way and discover new targets for pharmaceutical exploitation.

Entities:  

Year:  2008        PMID: 23484926     DOI: 10.1517/17460441.3.5.551

Source DB:  PubMed          Journal:  Expert Opin Drug Discov        ISSN: 1746-0441            Impact factor:   6.098


  2 in total

1.  An arrayed genome-scale lentiviral-enabled short hairpin RNA screen identifies lethal and rescuer gene candidates.

Authors:  Bhavneet Bhinder; Christophe Antczak; Christina N Ramirez; David Shum; Nancy Liu-Sullivan; Constantin Radu; Mark G Frattini; Hakim Djaballah
Journal:  Assay Drug Dev Technol       Date:  2012-11-30       Impact factor: 1.738

Review 2.  Cell-Based Assay Design for High-Content Screening of Drug Candidates.

Authors:  Gregory Nierode; Paul S Kwon; Jonathan S Dordick; Seok-Joon Kwon
Journal:  J Microbiol Biotechnol       Date:  2016-02       Impact factor: 2.351

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.