Francesco Russo
Zitiert von
Zitiert von
miRandola: Extracellular Circulating MicroRNAs Database
F Russo, S Di Bella, G Nigita, V Macca, A Laganà, R Giugno, A Pulvirenti, ...
PLoS ONE 7 (10), e47786, 2012
Variability in the incidence of miRNAs and genes in fragile sites and the role of repeats and CpG islands in the distribution of genetic material
A Laganà, F Russo, C Sismeiro, R Giugno, A Pulvirenti, A Ferro
PloS one 5 (6), e11166, 2010
Klinefelter syndrome comorbidities linked to increased X chromosome gene dosage and altered protein interactome activity
K Belling, F Russo, AB Jensen, MD Dalgaard, D Westergaard, ...
Human Molecular Genetics 26 (7), 1219-1229, 2017
Prediction of human targets for viral-encoded microRNAs by thermodynamics and empirical constraints
A Laganà, S Forte, F Russo, R Giugno, A Pulvirenti, A Ferro
Journal of RNAi and gene silencing: an international journal of RNA and gene …, 2010
Extracellular circulating viral microRNAs: current knowledge and perspectives
A Laganà, F Russo, D Veneziano, S Di Bella, A Pulvirenti, R Giugno, ...
Front. Genet. 4:120. doi: 10.3389/fgene.2013.00120, 2013
miRandola 2017: a curated knowledge base of non-invasive biomarkers
F Russo, S Di Bella, F Vannini, G Berti, F Scoyni, HV Cook, A Santos, ...
Nucleic Acids Research, Database issue 2018, gkx854, 2017
A knowledge base for the discovery of function, diagnostic potential and drug effects on cellular and extracellular miRNAs
F Russo, S Di Bella, V Bonnici, A Laganà, G Rainaldi, M Pellegrini, ...
BMC Genomics 15 (3), 1-7, 2014
Comprehensive reconstruction and visualization of non-coding regulatory networks in human
V Bonnici, F Russo, N Bombieri, A Pulvirenti, R Giugno
Frontiers in bioengineering and biotechnology 2, 69, 2014
Computational Design of Artificial RNA Molecules for Gene Regulation
A Laganà, D Veneziano, F Russo, A Pulvirenti, R Giugno, CM Croce, ...
RNA Bioinformatics, 393-412, 2015
miR-EdiTar: A database of predicted A-to-I edited miRNA target sites
A Laganà, A Paone, D Veneziano, L Cascione, P Gasparini, S Carasi, ...
Bioinformatics 28 (23), 3166-3168, 2012
Interplay Between Long Noncoding RNAs and MicroRNAs in Cancer
F Russo, G Fiscon, F Conte, M Rizzo, P Paci, M Pellegrini
Computational Cell Biology, 75-92, 2018
Discovering the miR-26a-5p Targetome in Prostate Cancer Cells
M Rizzo, G Berti, F Russo, S Fazio, M Evangelista, R D'Aurizio, ...
Journal of Cancer 8 (14), 2729-2739, 2017
MicroRNA 19a replacement partially rescues fin and cardiac defects in zebrafish model of Holt Oram syndrome
E Chiavacci, R D’Aurizio, E Guzzolino, F Russo, M Baumgart, M Groth, ...
SCIENTIFIC REPORTS 5 (18240), 2015
Discovering miRNA regulatory networks in holt–oram syndrome using a zebrafish model
R D’Aurizio, F Russo, E Chiavacci, M Baumgart, M Groth, M D’Onofrio, ...
Frontiers in bioengineering and biotechnology 4, 60, 2016
Identification of BRAF 3′ UTR Isoforms in Melanoma
A Marranci, A Tuccoli, M Vitiello, E Mercoledi, S Sarti, S Lubrano, ...
Journal of Investigative Dermatology, 2015
A New Method for Discovering Disease-Specific MiRNA-Target Regulatory Networks
M Baglioni, F Russo, F Geraci, M Rizzo, G Rainaldi, M Pellegrini
PLoS ONE 10 (4), e0122473, 2015
The miR-28-5p Targetome Discovery Identified SREBF2 as One of the Mediators of the miR-28-5p Tumor Suppressor Activity in Prostate Cancer Cells
S Fazio, G Berti, F Russo, M Evangelista, R D'Aurizio, A Mercatanti, ...
Cells 9 (2), 354, 2020
The miRNA pull out assay as a method to validate the miR-28-5p targets identified in other tumor contexts in prostate cancer.
M Rizzo, G Berti, F Russo, M Evangelista, M Pellegrini, G Rainaldi
International Journal of Genomics, 2017
Identification of hyper-rewired genomic stress non-oncogene addiction genes across 15 cancer types
JX Hjaltelin, JMG Izarzugaza, LJ Jensen, F Russo, D Westergaard, ...
npj Systems Biology and Applications, 2019
Comorbidity landscape of the Danish patient population affected by chromosome abnormalities
I Friis Jørgensen, F Russo, A Boeck Jensen, D Westergaard, ...
Genetics in Medicine, 2019
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