Ivan Molineris
University of Turin
47 Papers
95 Citations
Ivan Molineris is an academic researcher from University of Turin. The author has contributed to research in topics: Biology & Medicine. The author has an hindex of 15, co-authored 33 publications. Previous affiliations of Ivan Molineris include Vita-Salute San Raffaele University.
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Papers
B lymphocytes directly contribute to tissue fibrosis in patients with IgG4-related disease.
Emanuel Della-Torre,Emanuel Della-Torre,Elena Rigamonti,Cory A. Perugino,Cory A. Perugino,Simona Baghai-Sain,Na Sun,Naoki Kaneko,Naoki Kaneko,Takashi Maehara,Takashi Maehara,Lucrezia Rovati,Lucrezia Rovati,Maurilio Ponzoni,Raffaella Milani,Marco Lanzillotta,Vinay Mahajan,Hamid Mattoo,Ivan Molineris,Vikram Deshpande,John H. Stone,Massimo Falconi,Angelo A. Manfredi,Shiv Pillai +23 more
TL;DR: It is demonstrated that B cells, contribute directly to tissue fibrosis in IgG4-RD and these unanticipated pro-fibrotic properties of B lymphocytes, particularly of plasmablasts, might be relevant for fibrogenesis in other fibro-inflammatory disorders and for wound healing processes in physiological conditions.
117
The Roles of Multiparametric Magnetic Resonance Imaging, PCA3 and Prostate Health Index—Which is the Best Predictor of Prostate Cancer after a Negative Biopsy?
Francesco Porpiglia,Filippo Russo,Matteo Manfredi,Fabrizio Mele,Cristian Fiori,Enrico Bollito,Mauro Papotti,Ivan Molineris,Roberto Passera,Daniele Regge +9 more
TL;DR: Multiparametric magnetic resonance imaging provides high diagnostic accuracy in identifying patients with prostate cancer in the repeat biopsy setting compared with PCA3 and PHI.
77
An atlas of tissue-specific conserved coexpression for functional annotation and disease gene prediction
Rosario M. Piro,Ugo Ala,Ivan Molineris,Elena Grassi,Chiara Bracco,Gian Paolo Perego,Paolo Provero,Ferdinando Di Cunto +7 more
TL;DR: It is shown that, in fact, conserved coexpression as determined from tissue-specific and condition-specific data sets can predict many functional relationships that are not detected by analyzing heterogeneous microarray data sets, and it is found that, when combined with disease networks, the simultaneous use of both generic (multi-tissue) and tissue- specific conserving coexpression allows a more efficient prediction of human disease genes than the use of generic conservedCoexpression alone.
Genome-wide identification and characterization of fixed human-specific regulatory regions.
TL;DR: The results confirm the relevance of regulatory evolution in the emergence of human traits and cognitive abilities and the importance of newly acquired genomic elements for such evolution.
34
Evolution of promoter affinity for transcription factors in the human lineage
TL;DR: The human specificity of a promoter is introduced, measuring the divergence between the affinity profile of a human promoter and its orthologous promoters in other mammals, which reveals patterns of promoter evolution associated with functional categories such as synaptic transmission and brain development and to diseases such as bipolar disorder and autism.