Literature DB >> 33405224

A Microfluidic/Microscopy-Based Platform for on-Chip Controlled Gene Expression in Mammalian Cells.

Mahmoud Khazim1,2,3, Elisa Pedone1,2,3, Lorena Postiglione1,2,3, Diego di Bernardo4, Lucia Marucci5,6,7.   

Abstract

Applications of control engineering to mammalian cell biology have been recently implemented for precise regulation of gene expression. In this chapter, we report the main experimental and computational methodologies to implement automatic feedback control of gene expression in mammalian cells using a microfluidics/microscopy platform.

Entities:  

Keywords:  Cell segmentation; Control algorithms; Feedback control; Mammalian cell; Microfluidics; PDMS

Year:  2021        PMID： 33405224     DOI： 10.1007/978-1-0716-1032-9_10

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


  6 in total

1.  Vacuum-assisted cell loading enables shear-free mammalian microfluidic culture.

Authors:  Martin Kolnik; Lev S Tsimring; Jeff Hasty
Journal:  Lab Chip       Date:  2012-11-21       Impact factor: 6.799

2.  Automatic Control of Gene Expression in Mammalian Cells.

Authors:  Chiara Fracassi; Lorena Postiglione; Gianfranco Fiore; Diego di Bernardo
Journal:  ACS Synth Biol       Date:  2015-10-06       Impact factor: 5.110

3.  Regulation of Gene Expression and Signaling Pathway Activity in Mammalian Cells by Automated Microfluidics Feedback Control.

Authors:  Lorena Postiglione; Sara Napolitano; Elisa Pedone; Daniel L Rocca; Francesco Aulicino; Marco Santorelli; Barbara Tumaini; Lucia Marucci; Diego di Bernardo
Journal:  ACS Synth Biol       Date:  2018-10-22       Impact factor: 5.110

4.  An experimental approach to identify dynamical models of transcriptional regulation in living cells.

Authors:  G Fiore; F Menolascina; M di Bernardo; D di Bernardo
Journal:  Chaos       Date:  2013-06       Impact factor: 3.642

5.  A tunable dual-input system for on-demand dynamic gene expression regulation.

Authors:  Elisa Pedone; Lorena Postiglione; Francesco Aulicino; Dan L Rocca; Sandra Montes-Olivas; Mahmoud Khazim; Diego di Bernardo; Maria Pia Cosma; Lucia Marucci
Journal:  Nat Commun       Date:  2019-10-02       Impact factor: 14.919

6.  In-vivo real-time control of protein expression from endogenous and synthetic gene networks.

Authors:  Filippo Menolascina; Gianfranco Fiore; Emanuele Orabona; Luca De Stefano; Mike Ferry; Jeff Hasty; Mario di Bernardo; Diego di Bernardo
Journal:  PLoS Comput Biol       Date:  2014-05-15       Impact factor: 4.475
  6 in total
  1 in total

1.  Control-Based Continuation: A New Approach to Prototype Synthetic Gene Networks.

Authors:  Irene de Cesare; Davide Salzano; Mario di Bernardo; Ludovic Renson; Lucia Marucci
Journal:  ACS Synth Biol       Date:  2022-06-21       Impact factor: 5.249
  1 in total

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