Genomics Unit
The Genomics Unit (GU) is a technological core facility that applies modern genomic technologies for research. Genomics Unit was established in 2009 in collaboration with the Center for Genomic Sciences of the Italian Institute of Technology (IIT) hosted at our Campus.
The GU is responsible for the routine use and optimization of Next Generation Sequencing (NGS) technologies to investigate genome regulation and structure in the context of different aspects of normal and tumor biology.
The main tasks of the Unit include the management of all the sequencing requests and related applications within the IEO-IIT department. The GU also offers technological support to research groups towards the optimization and development of tailored protocol. A constant technological update and flexibility to the needs is also provided.
More than twenty research groups from IEO and IIT institutions are actively using Next Generation Sequencing technologies. A highly integrated research community in genomics benefits of technological platforms provided by this Unit, including more than two hundred biologists and approximately thirty computational scientists.
Ad hoc committee is in charge, together with the GU itself, of supervising and solving any type of problem and defining new technological investment strategies, management of the access rules and general infrastructure of the unit.
Most Relevant Publications
-
Tiberti S, Catozzi C, Croci O, Ballerini M, Cagnina D, Soriani C, Scirgolea C, Gong Z, He J, Macandog AD, Nabinejad A, Nava Lauson CB, Quinte' A, Bertalot G, Petz WL, Ravenda SP, Licursi V, Paci P, Rasponi M, Rotta L, Fazio N, Ren G, Fumagalli-Romario U, Schaefer MH, Campaner S, Lugli E, Nezi L, Manzo T
GZMKhigh CD8+ T effector memory cells are associated with CD15high neutrophil abundance in non-metastatic colorectal tumors and predict poor clinical outcome.
Nat Commun, 2022
-
Kress TR, Pellanda P, Pellegrinet L, Bianchi V, Nicoli P, Doni M, Recordati C, Bianchi S, Rotta L, Capra T, Rav M, Verrecchia A, Radaelli E, Littlewood TD, Evan GI, Amati B
Identification of MYC-Dependent Transcriptional Programs in Oncogene-Addicted Liver Tumors.
Cancer Res, 2016
-
Tonelli C, Morelli MJ, Bianchi S, Rotta L, Capra T, Sabò A, Campaner S, Amati B
Genome-wide analysis of p53 transcriptional programs in B cells upon exposure to genotoxic stress in vivo.
Oncotarget, 2015
-
Belloni E, Veronesi G, Rotta L, Volorio S, Sardella D, Bernard L, Pece S, Di Fiore PP, Fumagalli C, Barberis M, Spaggiari L, Pelicci PG, Riva L
Whole exome sequencing identifies driver mutations in asymptomatic computed tomography-detected lung cancers with normal karyotype.
Cancer Genet, 2015