a partner asked COSBI to predict the efficacy of a trivalent influenza vaccine (TIV) one month after the vaccination
by developing a proprietary rank-based algorithm, we computed a trascriptional biomarker that predicts vaccination efficacy
a biological interpretation of the results led us to identify important regulative mechanisms of the TIV vaccine response
L. Marchetti, E. Siena, M. Lauria, D. Maffione, N. Pacchiani, C. Priami, D. Medini. Exploring the limitations of peripheral blood transcriptional biomarkers in predicting influenza vaccine responsiveness. Complexity, Article ID 3017632, 2017, doi:10.1155/2017/3017632.
A. Matone, E. Derlindati, L. Marchetti, V. Spigoni, A. Dei Cas, D. Ardigò, I. Zavaroni, C. Priami, R.C. Bonadonna. Identification of an Early Transcriptomic Signature of Insulin Resistance and Related Diseases in Lymphomonocytes of Healthy Subjects. PLoS ONE, 12(8): e0182559, 2017, doi:10.1371/journal. pone.0182559.
M. Persico , N. Dordevic , O. Cominetti , A. Matone , J. Hosking , A. Jeffery , J. Pinkney , L. Da Silva , C. Priami , I Montoliu , F.-P. Martin. Consensus Clustering of temporal profiles for the identification of metabolic markers of pre-diabetes in childhood (EarlyBird 73). Nat. Sci. Rep., 8:1393, 2018.
M. Lauria, P. Moyseos, C. Priami. SCUDO: a tool for signature-based clustering of expression profiles. Nucleic Acid Research, 2015.
C. Priami and M.J. Morine. analysis of biological systems. Imperial College Press, 2015
S. Lacroix, M. Lauria, M. Scott-Boyer, L. Marchetti, C. Priami, L. Caberlotto. Systems biology approaches to study the molecular effects of caloric restriction and polyphenols on aging processes, Genes & Nutrition, 10, 2015.
L. Caberlotto, M. Lauria. Systems biology meets -omic technologies: novel approaches to biomarker discovery and companion diagnostic development., Expert Review of Molecular Diagnostics, 15(2):255-265, 2014.
M. Lauria. Rank-Based miRNA Signatures for Early Cancer Detection, BioMed Research International, :Article ID 192646, 2014.
Tarca, M. Lauria, M. Unger, E. Bilal, S. Boue, K. Dey, J. Hoeng, H. Koeppl, F. Martin, P. Meyer, P. Nandy, R. Norel, M. Peitsch, J. Rice, R. Romero, G. Stolovitzky, M. Talikka, Y. Xiang, C. Zechne. Strengths and limitations of microarray-based phenotype prediction: Lessons learned from the IMPROVER Diagnostic Signature Challenge, Bioinformatics, 29:2892-9, Oxford University Press, 2013.
M. Lauria. Rank-based transcriptional signatures: A novel approach to diagnostic biomarker definition and analysis, Systems Biomedicine, 1:0-10, Landes Bioscience, 2013.