Literature DB >> 33680022

Synthetic Biology Based on Genetic Logic Circuit, Using the Expression of Drug Resistance, BCRP Pump in MCF-7 Cancer Cell Line.

Marzieh Gerami1, Modjtaba Emadi-Baygi2,3, Mohammad Eshghi4, Fatemeh Elahian5, Razieh Heidari5, Mehdi Hosseinzadeh6,7.   

Abstract

Biological circuits are developed as biological parts within a cell to carry out logical functions resembling those studied in electronics circuits. These circuits can be performed as a method to vary cellular functions, to develop cellular responses to environmental conditions, or to regulate cellular developments. This research explored the possibility of synthetic biology based on the genetic logic circuit A and (not B) using the inducible expression of the both BCRP drug resistance pump and its specific shRNA in MCF-7 cancer cell line utilizing the third generation of lentiviral vectors. The accuracy of the output of the proposed circuit for living cells, was confirmed by the results of the Real-Time PCR and flow cytometry at the RNA and protein levels. At the RNA level, the effect of the inducers on the BCRP gene expression and silencing were investigated by real-time PCR. Furthermore, at the protein level, induction of the expression of the BCRP pump resulted in driving out of the substrate from inside the cells leading to the decrease of the fluorescent emission from the transfected cells. We successfully designed and implemented the genetic logic circuit A and (not B) using the inducible expression of the both BCRP drug resistance pump and its specific shRNA in MCF-7 cancer cells.

Entities:  

Keywords:  BCRP; Lentiviral vectors; Logical circuits; MCF-7 Cancer cell line; Synthetic biology

Year:  2020        PMID: 33680022      PMCID: PMC7757972          DOI: 10.22037/ijpr.2020.111970.13459

Source DB:  PubMed          Journal:  Iran J Pharm Res        ISSN: 1726-6882            Impact factor:   1.696


  1 in total

1.  Hsa_circ_0006404 and hsa_circ_0000735 Regulated Ovarian Cancer Response to Docetaxel Treatment via Regulating p-GP Expression.

Authors:  Yan-Yan Chen; Ying-Chun Tai
Journal:  Biochem Genet       Date:  2021-07-13       Impact factor: 1.890

  1 in total

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