Thesis Project Form
Title (tentative): Antagonistic role of natural and chemical compounds in cancer cell viability: technologically advanced study within bioreactorThesis advisor(s): Fato Marco Massimo, Silvia Scaglione (CNR - IEIIT), Marta Cavo (DIBRIS) | E-mail: |
Address: Via All'Opera Pia, 13 - 16145 Genova | Phone: (+39) 010 33 52789 |
Description
Motivation and application domain
Three-dimensional (3D) and dynamic cell cultures represent fundamental tools for the comprehension of cellular phenomena, especially in the field of cancer disease. Clinically relevant in vitro models could help understanding tumor pathogenesis and cells chemoresistance, as well as predicting the outcome of pharmacological or natural treatments.
General objectives and main activities
The goal of this thesis is to analyze cancer cell response to natural or chemical compounds that are currently under study with regard to their potential as tumor antagonists (e.g. curcuma, Aspirina®). The novelty besides this work is to carry out these experiments within a 3D, more realistic environment than standard cell cultures. To do that, cells will be cultured within 3D biomaterials under perfusion within a technological bioreactor. The stimuli acting on cells (e.g. fluid velocity and shear/stress) will be properly modeled and designed in order to recreate an environment as close as possible to the in vivo one, by the use of specific fluid-dynamics tools. The bioreactor set-up will be modified accordingly. The work will be constituted by a major experimental part and consequent data analysis.
Training Objectives (technical/analytical tools, experimental methodologies)
The goal of this thesis is to design a completely new technology, able to isolate circulating cells.
• CAD design
• Cell culture
• Fluorescence confocal microscopy
• Image analysis
• Bioreactor related methods
• Spectrophotometry
• Statistical and data analysis
• CAD design
• Cell culture
• Fluorescence confocal microscopy
• Image analysis
• Bioreactor related methods
• Spectrophotometry
• Statistical and data analysis
Place(s) where the thesis work will be carried out: CNR - DIBRIS
Additional information
Pre-requisite abilities/skills: interest in experimental work; initiative and curiosity
Maximum number of students: 1