Università degli Studi di Torino


 

An integrated approach of immunogenomics and bioinformatics to identify new Tumor Associates Antigens (TAA) for mammary cancer immunological prevention 

Cavallo Federica1*, Astolfi Annalisa3, Manuela Iezzi4, Cordero Francesca1, 2, Lollini Pier-Luigi3, Forni Guido1, Calogero Raffaele 

1Dept. of Clinical and Biological Sciences, University of Torino, Az. Ospedaliera S. Luigi, Regione Gonzole 10, I-10043 Orbassano Italy.
2Dept. of Informatics, University of Torino, Via Pessinetto 12, I-10100 Torino, Italy
3Dept. of Experimental Pathology, University of Bologna, Viale Filopanti 22, I-40126 Bologna, Italy
4Dept. of Oncology and Neurosciences, University of Chieti, Via Colle dell’Ara, I-66013 Chieti, Italy

Additional information file 1

Additional file 1: Annotation of the 204 genes showing and expression linearly related to the tumoral mass increase. The annotation of the 204 genes showing a linear correlation with the increase of the tumoral mass in the neuT murine cancer model was carried out using the mgu74v2 1.6.8 and the annaffy Bioconductor libraries (file is in HTML format).


 

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