Introduction
 Angiogenesis is the process of formation of new vessels from pre-existing ones. It is a very important mechanism involved in cancer development. Indeed, many tumours need oxygen and nutrients provided by the blood to progress, and exploit the blood flow to metastasise. Endothelial cells constitute the first layer of the vessel wall and are the major cell players in the angiogenic process. Endothelial cells orchestrate a multitude of biological processes that trigger the formation of new and mature vessels – they sprout, digest and migrate through the extracellular matrix, change morphology and recruit mural cells. A better understanding of the regulation of these processes will be helpful to identify new targets for pro- and anti-angiogenic therapy in cancer.
High accuracy mass spectrometry (MS) in combination with quantitative approaches, such as SILAC (stable isotope labelling with amino acids in cell culture), is a key technology to perform in depth proteomic studies of cells and tissues. With this technique it is possible to identify and quantify thousands of proteins and post-translational modifications, for example phosphorylations, in single experiment.
In our lab, we apply state-of-the-art MS-based approaches (LTQ-Orbitrap Velos) in combination with SILAC to study the complexity of the molecular mechanisms regulating endothelial cells, in vitro and in vivo, during angiogenesis in cancer. In particular, we are interested in characterising how the (tumour) extracellular environment affects endothelial cell signalling.
Email:
This e-mail address is being protected from spam bots, you need JavaScript enabled to view it
Lab Report
 Scientific Report 2010 Zanivan
Key PublicationsZanivan S, Gnad F, Wickström SA, Geiger T, Macek B, Cox J, Fässler R, Mann M. (2008). Solid Tumor Proteome and Phosphoproteome Analysis by High Resolution Mass Spectrometry. J Proteome Res. 7, 5314-26.
Zanivan S, Cascone I, Peyron C, Molineris I, Marchio S, Caselle M, Bussolino F (2007). A new computational approach to analyze human protein complexes and predict novel protein interactions. Genome Biol. 8, R256.
Zanivan S, Cora D, Caselle M, Bussolino F (2008). VRG: A database of vascular dysfunctions related genes. Computers & Mathematics with Applications 55, 1068-1073.
Biography
Education and qualifications
2006: PhD, Complex Systems Applied to Post Genomic Biology, University of Torino, Italy
2003: Masters in Bioinformatics, University of Torino, Italy
2001: MS in Biology, University of Torino, Italy
Appointments
November 2010-present: Group Leader, Beatson Institute for Cancer Research
2007-2010: Postdoctoral Fellow with Matthias Mann, Max Planck Institute of Biochemistry, Martinsried, Germany
2002-2006: PhD Student with Guido Serini and Federico Bussolino, Institute for Cancer Research and Treatment, Torino, Italy
Recent Publications
2012
Zanivan S, Krüger M, Mann M (2012). In Vivo Quantitative Proteomics: The SILAC Mouse. Methods Mol Biol. 757, 435-50.
2011
Geiger T, Wisniewski JR, Cox J, Zanivan S, Kruger M, Ishihama Y, Mann M (2011). Use of stable isotope labeling by amino acids in cell culture as a spike-in standard in quantitative proteomics.
Nat Protoc. 6, 147-57.
Meves A, Geiger T, Zanivan S, Digiovanni J, Mann M, Fässler
R (2011). Beta1 integrin cytoplasmic tyrosines promote skin tumorigenesis
independent of their phosphorylation. Proc Natl Acad Sci USA. 108, 15213-8 .
Scholten A, Mohammed S, Low TY, Zanivan S, van Veen TA, Delanghe B, Heck AJ (2011). In-depth quantitative cardiac proteomics combining electron transfer dissociation and the metalloendopeptidase Lys-N with the SILAC mouse. Mol Cell Proteomics. 2011 Jun 24. [Epub ahead of print].
2008
Zanivan S, Gnad F, Wickström SA, Geiger T, Macek B, Cox J, Fässler R, Mann M. (2008). Solid Tumor Proteome and Phosphoproteome Analysis by High Resolution Mass Spectrometry. J Proteome Res. 7, 5314-26.
Krüger M, Moser M, Ussar S, Thievessen I, Luber CA, Forner F, Schmidt S, Zanivan S, Fässler R, Mann M (2008). SILAC mouse for quantitative proteomics uncovers kindlin-3 as an essential factor for red blood cell function. Cell 134, 353-64.
Zanivan S, Cora` D, Caselle M, Bussolino F (2008). VRG: A database of vascular dysfunctions related genes. Computers & Mathematics with Applications 55, 1068-73.
2007
Zanivan S, Cascone I, Peyron C, Molineris I, Marchio S, Caselle M, Bussolino F (2007). A new computational approach to analyze human protein complexes and predict novel protein interactions. Genome Biol. 8, R256.
2005
Parsons-Wingerter P, Kasman IM, Norberg S, Magnussen A, Zanivan S, Rissone A, Baluk P, Favre CJ, Jeffry U, Murray R, and McDonald DM (2005). Uniform Overexpression and Rapid Accessibility of a5b1 Integrin on Blood Vessels in Tumors. Am J Pathol. 167, 193-211.
2003
Serini G, Valdembri D, Zanivan S, Morterra G, Burkhardt C, Caccavari F, Zammataro L, Primo L, Tamagnone L, Logan M, Tessier-Lavigne M, Taniguchi M, Puschel AW, and Bussolino F (2003). Class 3 semaphorins control vascular morphogenesis by inhibiting integrin function. Nature 424, 391-7.
Lab Members
Post-doc: Juan Ramon Hernandez
Scientific Officer: Lisa Neilson
PhD Student: Steven Reid
Visiting Scientist: Maartje Van Den Biggelaar
|
