Literature DB >> 29250574

RNA Interference Screening to Identify Proliferation Determinants in Breast Cancer Cells.

Yong-Wei Zhang1, Rochelle E Nasto1,2,3, Sandra A Jablonski1, Ilya G Serebriiskii2,4, Rishi Surana1, Joseph Murray1, Michael Johnson1, Rebecca B Riggins1, Robert Clarke1, Erica A Golemis2, Louis M Weiner1.   

Abstract

RNAi screening technology has revealed unknown determinants of various biological signaling pathways in biomedical studies. This protocol provided detailed information about how to use RNAi screening to identify proliferation determinants in breast tumor cells. siRNA-based libraries targeting against Estrogen receptor (ER)-network, including 631 genes relevant to estrogen signaling, was constructed for screening in breast cancer cells. Briefly, reverse transfection of siRNA induced transient gene knockdown in MCF7 cells. First, the transfection reagent for MCF7 cells was selected. Next, the Z'-score assay was used to monitor if screening conditions yielded efficiently. Then, the ER-network siRNA library screening was preceded by automatic machines under optimized experimental conditions.

Entities:  

Keywords:  Breast cancer; CyBio automatic dispenser; Estrogen receptor (ER); Multidrop Combi-nL reagent dispenser; RNA interference (RNAi); Screening; WellMate microplate dispenser; Z′-score

Year:  2017        PMID: 29250574      PMCID: PMC5730085          DOI: 10.21769/BioProtoc.2435

Source DB:  PubMed          Journal:  Bio Protoc        ISSN: 2331-8325


  6 in total

1.  A Simple Statistical Parameter for Use in Evaluation and Validation of High Throughput Screening Assays.

Authors: 
Journal:  J Biomol Screen       Date:  1999

Review 2.  The art and design of genetic screens: RNA interference.

Authors:  Michael Boutros; Julie Ahringer
Journal:  Nat Rev Genet       Date:  2008-06-03       Impact factor: 53.242

Review 3.  Statistical methods for analysis of high-throughput RNA interference screens.

Authors:  Amanda Birmingham; Laura M Selfors; Thorsten Forster; David Wrobel; Caleb J Kennedy; Emma Shanks; Javier Santoyo-Lopez; Dara J Dunican; Aideen Long; Dermot Kelleher; Queta Smith; Roderick L Beijersbergen; Peter Ghazal; Caroline E Shamu
Journal:  Nat Methods       Date:  2009-08       Impact factor: 28.547

4.  Synthetic lethal screen of an EGFR-centered network to improve targeted therapies.

Authors:  Igor Astsaturov; Vladimir Ratushny; Anna Sukhanova; Margret B Einarson; Tetyana Bagnyukova; Yan Zhou; Karthik Devarajan; Joshua S Silverman; Nadezhda Tikhmyanova; Natalya Skobeleva; Anna Pecherskaya; Rochelle E Nasto; Catherine Sharma; Sandra A Jablonski; Ilya G Serebriiskii; Louis M Weiner; Erica A Golemis
Journal:  Sci Signal       Date:  2010-09-21       Impact factor: 8.192

5.  Acquisition of estrogen independence induces TOB1-related mechanisms supporting breast cancer cell proliferation.

Authors:  Y-W Zhang; R E Nasto; R Varghese; S A Jablonski; I G Serebriiskii; R Surana; V S Calvert; I Bebu; J Murray; L Jin; M Johnson; R Riggins; H Ressom; E Petricoin; R Clarke; E A Golemis; L M Weiner
Journal:  Oncogene       Date:  2015-07-13       Impact factor: 9.867

6.  c-Abl modulates tumor cell sensitivity to antibody-dependent cellular cytotoxicity.

Authors:  Joseph C Murray; Dalal Aldeghaither; Shangzi Wang; Rochelle E Nasto; Sandra A Jablonski; Yong Tang; Louis M Weiner
Journal:  Cancer Immunol Res       Date:  2014-10-09       Impact factor: 11.151

  6 in total

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