Francesco Iorio
Francesco Iorio
Wellcome Sanger Institute
Потвърден имейл адрес: sanger.ac.uk
Заглавие
Позовавания
Позовавания
Година
Systematic identification of genomic markers of drug sensitivity in cancer cells
MJ Garnett, EJ Edelman, SJ Heidorn, CD Greenman, A Dastur, KW Lau, ...
Nature 483 (7391), 570-575, 2012
21162012
Drug repurposing: progress, challenges and recommendations
S Pushpakom, F Iorio, PA Eyers, KJ Escott, S Hopper, A Wells, A Doig, ...
Nature reviews Drug discovery 18 (1), 41-58, 2019
13912019
Prospective derivation of a living organoid biobank of colorectal cancer patients
M van de Wetering, HE Francies, JM Francis, G Bounova, F Iorio, A Pronk, ...
Cell 161 (4), 933-945, 2015
13342015
A landscape of pharmacogenomic interactions in cancer
F Iorio, TA Knijnenburg, DJ Vis, GR Bignell, MP Menden, M Schubert, ...
Cell 166 (3), 740-754, 2016
10442016
Heterogeneity of genomic evolution and mutational profiles in multiple myeloma
N Bolli, H Avet-Loiseau, DC Wedge, P Van Loo, LB Alexandrov, ...
Nature communications 5 (1), 1-13, 2014
7502014
Discovery of drug mode of action and drug repositioning from transcriptional responses
F Iorio, R Bosotti, E Scacheri, V Belcastro, P Mithbaokar, R Ferriero, ...
Proceedings of the National Academy of Sciences 107 (33), 14621-14626, 2010
7342010
Prioritization of cancer therapeutic targets using CRISPR–Cas9 screens
FM Behan, F Iorio, G Picco, E Gonçalves, CM Beaver, G Migliardi, ...
Nature 568 (7753), 511-516, 2019
4632019
A yeast synthetic network for in vivo assessment of reverse-engineering and modeling approaches
I Cantone, L Marucci, F Iorio, MA Ricci, V Belcastro, M Bansal, S Santini, ...
Cell 137 (1), 172-181, 2009
3942009
Machine learning prediction of cancer cell sensitivity to drugs based on genomic and chemical properties
MP Menden, F Iorio, M Garnett, U McDermott, CH Benes, PJ Ballester, ...
PLoS one 8 (4), e61318, 2013
3792013
A CRISPR dropout screen identifies genetic vulnerabilities and therapeutic targets in acute myeloid leukemia
K Tzelepis, H Koike-Yusa, E De Braekeleer, Y Li, E Metzakopian, ...
Cell reports 17 (4), 1193-1205, 2016
3722016
Transcriptional data: a new gateway to drug repositioning?
F Iorio, T Rittman, H Ge, M Menden, J Saez-Rodriguez
Drug discovery today 18 (7-8), 350-357, 2013
2052013
Pharmacogenomic agreement between two cancer cell line data sets
Cancer Cell Line Encyclopedia Consortium, ...
Nature 528 (7580), 84-87, 2015
2002015
Characterizing mutational signatures in human cancer cell lines reveals episodic APOBEC mutagenesis
M Petljak, LB Alexandrov, JS Brammeld, S Price, DC Wedge, ...
Cell 176 (6), 1282-1294. e20, 2019
1762019
BRAF inhibitor resistance mediated by the AKT pathway in an oncogenic BRAF mouse melanoma model
D Perna, FA Karreth, AG Rust, PA Perez-Mancera, M Rashid, F Iorio, ...
Proceedings of the National Academy of Sciences 112 (6), E536-E545, 2015
1212015
Transcriptional gene network inference from a massive dataset elucidates transcriptome organization and gene function
V Belcastro, V Siciliano, F Gregoretti, P Mithbaokar, G Dharmalingam, ...
Nucleic acids research 39 (20), 8677-8688, 2011
1112011
Identifying network of drug mode of action by gene expression profiling
F Iorio, R Tagliaferri, D Bernardo
Journal of Computational Biology 16 (2), 241-251, 2009
1052009
Transcription factor activities enhance markers of drug sensitivity in cancer
L Garcia-Alonso, F Iorio, A Matchan, N Fonseca, P Jaaks, G Peat, ...
Cancer research 78 (3), 769-780, 2018
942018
Hemopoietic-specific Sf3b1-K700E knock-in mice display the splicing defect seen in human MDS but develop anemia without ring sideroblasts
A Mupo, M Seiler, V Sathiaseelan, A Pance, Y Yang, AA Agrawal, F Iorio, ...
Leukemia 31 (3), 720-727, 2017
922017
Agreement between two large pan-cancer CRISPR-Cas9 gene dependency data sets
JM Dempster, C Pacini, S Pantel, FM Behan, T Green, J Krill-Burger, ...
Nature communications 10 (1), 1-14, 2019
702019
CellMinerCDB for integrative cross-database genomics and pharmacogenomics analyses of cancer cell lines
VN Rajapakse, A Luna, M Yamade, L Loman, S Varma, M Sunshine, ...
Iscience 10, 247-264, 2018
632018
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