Dr. Paternostro's laboratory is employing a multidisciplinary, systems-biology approach to identify optimal combinatorial drug therapies.
Dr. Paternostro earned his Ph.D. in Biochemistry from the University of Oxford, England, in 1997.
View All Publications
Integrating metabolomics and phenomics with systems models of cardiac hypoxia.
Feala JD, Coquin L, Paternostro G, McCulloch AD
Prog Biophys Mol Biol. 2008 Jan-Apr;96(1-3):209-25
Selective control of the apoptosis signaling network in heterogeneous cell populations.
Calzolari D, Paternostro G, Harrington PL, Piermarocchi C, Duxbury PM
PLoS One. 2007;2(6):e547
Flexibility in energy metabolism supports hypoxia tolerance in Drosophila flight muscle: metabolomic and computational systems analysis.
Feala JD, Coquin L, McCulloch AD, Paternostro G
Mol Syst Biol. 2007;3:99
Cardiac systems biology.
McCulloch AD, Paternostro G
Ann N Y Acad Sci. 2005 Jun;1047:283-95
A more efficient search strategy for aging genes based on connectivity.
Ferrarini L, Bertelli L, Feala J, McCulloch AD, Paternostro G
Bioinformatics. 2005 Feb 1;21(3):338-48
Age-associated cardiac dysfunction in Drosophila melanogaster.
Paternostro G, Vignola C, Bartsch DU, Omens JH, McCulloch AD, Reed JC
Circ Res. 2001 May 25;88(10):1053-8
Postmitochondrial regulation of apoptosis during heart failure.
Reed JC, Paternostro G
Proc Natl Acad Sci U S A. 1999 Jul 6;96(14):7614-6
Cardiac and skeletal muscle insulin resistance in patients with coronary heart disease. A study with positron emission tomography.
Paternostro G, Camici PG, Lammerstma AA, Marinho N, Baliga RR, Kooner JS, Radda GK, Ferrannini E
J Clin Invest. 1996 Nov 1;98(9):2094-9
Giovanni Paternostro's Research Focus
Leukemia/Lymphoma, Ovarian Cancer
Our lab uses a systems biology approach to the study of complex diseases. Combined drug interventions are an increasingly common therapeutic approach to complex diseases, for example in cancer. Drugs are, however, usually developed individually and only later combined empirically in the clinic based on their known effects as single-therapy agents. We are interested in the problem of inducing selective cancer cell death. We have developed and validated search algorithms to discover optimal combinations of three or more drugs that would be infeasible to identify by fully combinatorial searches. In our procedure the optimization is not carried out in silico, but directly in an in vivo high-throughput system, where the response to therapeutic combinations is used as information to guide the system toward improved combinations using an iterative algorithm. System-wide molecular measurements (for example metabolomics and transcriptomics) and models can also be incorporated in these algorithms. It is useful to view the information processing by our experimental cellular systems as biological computations, since the algorithms we use are indeed often derived from algorithms that are implemented in silico in other scientific fields.
We also use the fruit fly (Drosophila) to study cardiac and metabolic alterations caused by aging and hypoxia, using high-throughput physiological measurements, NMR metabolomics and models of metabolism.
Our multi-disciplinary team is composed of biomedical and computational scientists, and we have close collaborations with physicists, engineers and bioengineers.
About Giovanni Paternostro
Giovanni Paternostro earned his Ph.D. in Biochemistry from the University of Oxford, England, in 1997. He has obtained his MD and Board Certification in Cardiology from the University of Rome, Italy. After postdoctoral training at the Imperial College School of Medicine, Hammersmith Hospital, London and at Sanford-Burnham Medical Research Institute he was promoted to Research Investigator in 2001 and to Assistant Professor in 2003. In 2001 he was nominated member of the Whitaker Institute for Biomedical Engineering, UCSD. His research has been recognized by the 2002 Society for Geriatric Cardiology Basic Science Award and by the Ellison Medical Foundation New Scholar in Aging Award. Dr. Paternostro now holds adjunct faculty positions at Sanford-Burnham Medical Research Institute and at the Department of Bioengineering, UCSD. His lab is located at Sanford-Burnham.