C
Christine Nardini
Researcher at IAC
Publications - 72
Citations - 1836
Christine Nardini is an academic researcher from IAC. The author has contributed to research in topics: DNA methylation & Medicine. The author has an hindex of 20, co-authored 65 publications receiving 1515 citations. Previous affiliations of Christine Nardini include Chinese Academy of Sciences & Karolinska Institutet.
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Journal ArticleDOI
Identification of noninvasive imaging surrogates for brain tumor gene-expression modules
Maximilian Diehn,Christine Nardini,David S. Wang,Susan L. McGovern,Mahesh V Jayaraman,Yu Liang,Kenneth Aldape,Soonmee Cha,Michael D. Kuo +8 more
TL;DR: This work combined neuroimaging and DNA microarray analysis to create a multidimensional map of gene-expression patterns in GBM that provided clinically relevant insights into tumor biology and provided an in vivo portrait of genome-wide gene expression.
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Vaccination in the elderly: The challenge of immune changes with aging.
Annalisa Ciabattini,Christine Nardini,Francesco Santoro,Paolo Garagnani,Claudio Franceschi,Donata Medaglini +5 more
TL;DR: The impact of age-associated factors such as inflammaging, immunosenescence and immunobiography on immune response to vaccination in the elderly is analyzed, and systems biology approaches are considered as a mean for integrating a multitude of data in order to rationally design vaccination approaches specifically tailored for the elderly.
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Missing value estimation methods for DNA methylation data.
TL;DR: A simple and computationally efficient imputation method, metyhLImp, based on linear regression is presented based on the observation that methylation levels show a high degree of inter-sample correlation and the results of the analysis provide recommendations for accurate estimation of missing methylation values.
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TOM: A Web-Based Integrated Approach for Identification of Candidate Disease Genes
Simona Rossi,D. Masotti,Christine Nardini,Elena Bonora,Giovanni Romeo,Enrico Macii,Luca Benini,Stefano Volinia +7 more
TL;DR: TOM, a web-based resource for the efficient extraction of candidate genes for hereditary diseases, allows the geneticist to bypass the costly and time consuming tracing of genetic markers through entire families and might improve the chance of identifying disease genes, particularly for rare diseases.
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Acceleration of leukocytes' epigenetic age as an early tumor and sex-specific marker of breast and colorectal cancer.
Danielle Fernandes Durso,Danielle Fernandes Durso,Maria Giulia Bacalini,Claudia Sala,Claudia Sala,Chiara Pirazzini,Elena Marasco,Massimiliano Bonafè,Italo Faria do Valle,Davide Gentilini,Gastone Castellani,Gastone Castellani,Ana Maria Caetano Faria,Claudio Franceschi,Paolo Garagnani,Christine Nardini +15 more
TL;DR: It is shown that the epigenetic age estimated from blood DNA methylation data is statistically significantly associated to future breast and male colorectal cancer development, suggesting that the chance of developing age-related diseases may be predicted by circulating epigenetic markers, with a dependence upon tumor type, sex and age estimator.