List of works - Velia Siciliano

An endoribonuclease-based feedforward controller for decoupling resource-limited genetic modules in mammalian cells

scientific article published on 10 November 2020

Cell-Free Protein Synthesis as a Prototyping Platform for Mammalian Synthetic Biology

scientific article published on 03 January 2020

Characterization and mitigation of gene expression burden in mammalian cells

scientific article published on 15 September 2020

Computational Sequence Design with R2oDNA Designer.

scientific article published in January 2017

Construction and modelling of an inducible positive feedback loop stably integrated in a mammalian cell-line

scientific article

Engineered Cell-Based Therapeutics: Synthetic Biology Meets Immunology

scholarly article by Fabio Caliendo et al published 2019 in Frontiers in Bioengineering and Biotechnology

Engineering and control of biological systems: A new way to tackle complex diseases.

scientific article published on 10 May 2012

Engineering modular intracellular protein sensor-actuator devices.

scientific article

Engineering protein-protein devices for multilayered regulation of mRNA translation using orthogonal proteases in mammalian cells

scientific article published in Nature Communications

Mammalian synthetic circuits with RNA binding proteins for RNA-only delivery.

scientific article published on 3 August 2015

Membrane Poration Mechanisms at the Cell-Nanostructure Interface

scientific article published on 06 November 2019

MiRNAs confer phenotypic robustness to gene networks by suppressing biological noise.

scientific article published on January 2013

Modeling RNA interference in mammalian cells

scientific article

Precision Tools in Immuno-Oncology: Synthetic Gene Circuits for Cancer Immunotherapy

scientific article published on 03 December 2020

Predicting synthetic gene networks.

scientific article published in January 2012

Reverse engineering and analysis of genome-wide gene regulatory networks from gene expression profiles using high-performance computing

scientific article published in May 2012

Systematic transfer of prokaryotic sensors and circuits to mammalian cells

scientific article

Three-dimensionally Patterned Scaffolds Modulate the Biointerface at the Nanoscale

scientific article published on 03 July 2019

Transcriptional gene network inference from a massive dataset elucidates transcriptome organization and gene function.

scientific article published on 23 July 2011

List of works by Velia Siciliano

An endoribonuclease-based feedforward controller for decoupling resource-limited genetic modules in mammalian cells

Cell-Free Protein Synthesis as a Prototyping Platform for Mammalian Synthetic Biology

Characterization and mitigation of gene expression burden in mammalian cells

Computational Sequence Design with R2oDNA Designer.

Construction and modelling of an inducible positive feedback loop stably integrated in a mammalian cell-line

Engineered Cell-Based Therapeutics: Synthetic Biology Meets Immunology

Engineering and control of biological systems: A new way to tackle complex diseases.

Engineering modular intracellular protein sensor-actuator devices.

Engineering protein-protein devices for multilayered regulation of mRNA translation using orthogonal proteases in mammalian cells

Mammalian synthetic circuits with RNA binding proteins for RNA-only delivery.

Membrane Poration Mechanisms at the Cell-Nanostructure Interface

MiRNAs confer phenotypic robustness to gene networks by suppressing biological noise.

Modeling RNA interference in mammalian cells

Precision Tools in Immuno-Oncology: Synthetic Gene Circuits for Cancer Immunotherapy

Predicting synthetic gene networks.

Reverse engineering and analysis of genome-wide gene regulatory networks from gene expression profiles using high-performance computing

Systematic transfer of prokaryotic sensors and circuits to mammalian cells

Three-dimensionally Patterned Scaffolds Modulate the Biointerface at the Nanoscale

Transcriptional gene network inference from a massive dataset elucidates transcriptome organization and gene function.