Literature DB >> 32178823

RNA interference screening methods to identify proliferation determinants and mechanisms of resistance to immune attack.

Yong-Wei Zhang1, Rochelle E Nasto2, Sandra A Jablonski1, Ilya G Serebriiskii3, Rishi Surana1, Joseph Murray1, Michael Johnson1, Rebecca B Riggins1, Robert Clarke1, Erica A Golemis4, Louis M Weiner5.   

Abstract

We have used RNA interference (RNAi) screening technology to reveal unknown components of biological signaling pathways including survival mechanisms of estrogen-independent breast cancer cell growth and cancer cell resistance to immune attack. In this chapter, a detailed protocol describing the use of RNAi screening to identify factors important for the proliferation of estrogen-independent MCF7 breast cancer cells will be described. Resistance to therapies that target the estrogen pathway remains a challenge in the treatment of estrogen receptor-positive breast cancer. To address this challenge, small interfering-RNA (siRNA)-based libraries targeting an estrogen receptor (ER)- and aromatase-centered network, including 631 genes relevant to estrogen signaling, was designed and constructed for RNAi screening. This protocol will include the following parts: (1) selection of RNAi transfection reagent for specific cells; (2) optimization of RNAi screening conditions using Z'-factor; (3) procedure of ER-network gene siRNA library screening using automated machines under optimized experimental conditions; and (4) method of analysis for RNAi screening data to identify specific determinants important for cell proliferation. 46 genes were found to be selectively required for the survival of estrogen-independent MCF7-derived cells.
© 2020 Elsevier Inc. All rights reserved.

Entities:  

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

Mesh:

Substances:

Year:  2019        PMID: 32178823      PMCID: PMC7533725          DOI: 10.1016/bs.mie.2019.06.002

Source DB:  PubMed          Journal:  Methods Enzymol        ISSN: 0076-6879            Impact factor:   1.600


  9 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

2.  An unbiased in vivo functional genomics screening approach in mice identifies novel tumor cell-based regulators of immune rejection.

Authors:  Casey W Shuptrine; Reham Ajina; Elana J Fertig; Sandra A Jablonski; H Kim Lyerly; Zachary C Hartman; Louis M Weiner
Journal:  Cancer Immunol Immunother       Date:  2017-08-02       Impact factor: 6.968

Review 3.  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 4.  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

5.  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

6.  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

7.  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

8.  Implication of checkpoint kinase-dependent up-regulation of ribonucleotide reductase R2 in DNA damage response.

Authors:  Yong-Wei Zhang; Tamara L Jones; Scott E Martin; Natasha J Caplen; Yves Pommier
Journal:  J Biol Chem       Date:  2009-05-05       Impact factor: 5.157

9.  Activation of RAF1 (c-RAF) by the Marine Alkaloid Lasonolide A Induces Rapid Premature Chromosome Condensation.

Authors:  Rozenn Jossé; Yong-Wei Zhang; Valentin Giroux; Arun K Ghosh; Ji Luo; Yves Pommier
Journal:  Mar Drugs       Date:  2015-06-05       Impact factor: 5.118

  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.