Literature DB >> 30242689

Genome-Wide High-Throughput RNAi Screening for Identification of Genes Involved in Protein Production.

Sarah Inwood1,2, Michael J Betenbaugh2, Madhu Lal3, Joseph Shiloach4.   

Abstract

With an increasing number of blockbuster drugs being recombinant mammalian proteins, protein production platforms that focus on mammalian proteins have had a profound impact in many areas of basic and applied research. Many groups, both academic and industrial, have been focusing on developing cost-effective methods to improve the production of mammalian proteins that would support potential therapeutic applications. As it stands, while a wide range of platforms have been successfully developed for laboratory use, the majority of biologicals are still produced in mammalian cell lines due to the requirement for posttranslational modification and the biosynthetic complexity of target proteins. An unbiased high-throughput RNAi screening approach can be an efficient tool to identify target genes involved in recombinant protein production. Here we describe the process of optimizing the transfection conditions, performing the genome-wide siRNA screen, the activity and cell viability assays and the validation transfection to identify genes involved with protein expression.

Entities:  

Keywords:  HEK 293; Protein production; Screen; siRNA

Mesh:

Substances:

Year:  2018        PMID: 30242689      PMCID: PMC9563094          DOI: 10.1007/978-1-4939-8730-6_14

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  18 in total

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Authors:  Dana C Andersen; Lynne Krummen
Journal:  Curr Opin Biotechnol       Date:  2002-04       Impact factor: 9.740

Review 2.  RNA interference: biology, mechanism, and applications.

Authors:  Neema Agrawal; P V N Dasaradhi; Asif Mohmmed; Pawan Malhotra; Raj K Bhatnagar; Sunil K Mukherjee
Journal:  Microbiol Mol Biol Rev       Date:  2003-12       Impact factor: 11.056

Review 3.  High-throughput RNAi screening in cultured cells: a user's guide.

Authors:  Christophe J Echeverri; Norbert Perrimon
Journal:  Nat Rev Genet       Date:  2006-05       Impact factor: 53.242

4.  Potent and specific genetic interference by double-stranded RNA in Caenorhabditis elegans.

Authors:  A Fire; S Xu; M K Montgomery; S A Kostas; S E Driver; C C Mello
Journal:  Nature       Date:  1998-02-19       Impact factor: 49.962

5.  Construction of recombinant HEK293 cell lines for the expression of the neurotensin receptor NTSR1.

Authors:  Su Xiao; Joseph Shiloach; Reinhard Grisshammer
Journal:  Methods Mol Biol       Date:  2015

Review 6.  RNAi screening comes of age: improved techniques and complementary approaches.

Authors:  Stephanie E Mohr; Jennifer A Smith; Caroline E Shamu; Ralph A Neumüller; Norbert Perrimon
Journal:  Nat Rev Mol Cell Biol       Date:  2014-09       Impact factor: 94.444

7.  Duplexes of 21-nucleotide RNAs mediate RNA interference in cultured mammalian cells.

Authors:  S M Elbashir; J Harborth; W Lendeckel; A Yalcin; K Weber; T Tuschl
Journal:  Nature       Date:  2001-05-24       Impact factor: 49.962

8.  Therapeutically targeting glypican-3 via a conformation-specific single-domain antibody in hepatocellular carcinoma.

Authors:  Mingqian Feng; Wei Gao; Ruoqi Wang; Weizao Chen; Yan-Gao Man; William Douglas Figg; Xin Wei Wang; Dimiter S Dimitrov; Mitchell Ho
Journal:  Proc Natl Acad Sci U S A       Date:  2013-03-05       Impact factor: 11.205

9.  Median absolute deviation to improve hit selection for genome-scale RNAi screens.

Authors:  Namjin Chung; Xiaohua Douglas Zhang; Anthony Kreamer; Louis Locco; Pei-Fen Kuan; Steven Bartz; Peter S Linsley; Marc Ferrer; Berta Strulovici
Journal:  J Biomol Screen       Date:  2008-01-23

10.  Genome-scale RNA interference screen identifies antizyme 1 (OAZ1) as a target for improvement of recombinant protein production in mammalian cells.

Authors:  Su Xiao; Yu Chi Chen; Eugen Buehler; Swati Mandal; Ajeet Mandal; Michael Betenbaugh; Myung Hee Park; Scott Martin; Joseph Shiloach
Journal:  Biotechnol Bioeng       Date:  2016-09-21       Impact factor: 4.530

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