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Items: 1 to 50 of 68

1.

Improved long-term cardiovascular outcomes after intensive versus standard screening of diabetic complications: an observational study.

Morieri ML, Longato E, Mazzucato M, Di Camillo B, Cocchiglia A, Gubian L, Sparacino G, Avogaro A, Fadini GP, Vigili de Kreutzenberg S.

Cardiovasc Diabetol. 2019 Sep 16;18(1):117. doi: 10.1186/s12933-019-0922-1.

2.

Nilotinib interferes with cell cycle, ABC transporters and JAK-STAT signaling pathway in CD34+/lin- cells of patients with chronic phase chronic myeloid leukemia after 12 months of treatment.

Trojani A, Pungolino E, Dal Molin A, Lodola M, Rossi G, D'Adda M, Perego A, Elena C, Turrini M, Borin L, Bucelli C, Malato S, Carraro MC, Spina F, Latargia ML, Artale S, Spedini P, Anghilieri M, Di Camillo B, Baruzzo G, De Canal G, Iurlo A, Morra E, Cairoli R.

PLoS One. 2019 Jul 18;14(7):e0218444. doi: 10.1371/journal.pone.0218444. eCollection 2019.

3.

A Dynamic Bayesian Network model for the simulation of Amyotrophic Lateral Sclerosis progression.

Zandonà A, Vasta R, Chiò A, Di Camillo B.

BMC Bioinformatics. 2019 Apr 18;20(Suppl 4):118. doi: 10.1186/s12859-019-2692-x.

4.

Identification of Novel Components of Target-of-Rapamycin Signaling Pathway by Network-Based Multi-Omics Integrative Analysis.

Dereli Eke E, Arga KY, Dikicioglu D, Eraslan S, Erkol E, Celik A, Kirdar B, Di Camillo B.

OMICS. 2019 May;23(5):274-284. doi: 10.1089/omi.2019.0021. Epub 2019 Apr 13.

PMID:
30985253
5.

Stratification of amyotrophic lateral sclerosis patients: a crowdsourcing approach.

Kueffner R, Zach N, Bronfeld M, Norel R, Atassi N, Balagurusamy V, Di Camillo B, Chio A, Cudkowicz M, Dillenberger D, Garcia-Garcia J, Hardiman O, Hoff B, Knight J, Leitner ML, Li G, Mangravite L, Norman T, Wang L; ALS Stratification Consortium, Xiao J, Fang WC, Peng J, Yang C, Chang HJ, Stolovitzky G.

Sci Rep. 2019 Jan 24;9(1):690. doi: 10.1038/s41598-018-36873-4.

6.

Optimizing PCR primers targeting the bacterial 16S ribosomal RNA gene.

Sambo F, Finotello F, Lavezzo E, Baruzzo G, Masi G, Peta E, Falda M, Toppo S, Barzon L, Di Camillo B.

BMC Bioinformatics. 2018 Sep 29;19(1):343. doi: 10.1186/s12859-018-2360-6.

7.

Nilotinib induced bone marrow CD34+/lin-Ph+ cells early clearance in newly diagnosed CP-chronic myeloid leukemia.

Pungolino E, Rossi G, De Canal G, Trojani A, D'adda M, Perego A, Orlandi EM, Lunghi F, Turrini M, Borin L, Iurlo A, Latargia ML, Carraro MC, Spina F, Lodola M, Artale S, Anghilieri M, Spedini P, Cantoni S, Di Camillo B, Morra E, Cairoli R.

Am J Hematol. 2018 Jul;93(7):E162-E164. doi: 10.1002/ajh.25106. Epub 2018 May 17. No abstract available.

8.

How to design a single-cell RNA-sequencing experiment: pitfalls, challenges and perspectives.

Dal Molin A, Di Camillo B.

Brief Bioinform. 2018 Jan 31. doi: 10.1093/bib/bby007. [Epub ahead of print]

PMID:
29394315
9.

HAPT2D: high accuracy of prediction of T2D with a model combining basic and advanced data depending on availability.

Di Camillo B, Hakaste L, Sambo F, Gabriel R, Kravic J, Isomaa B, Tuomilehto J, Alonso M, Longato E, Facchinetti A, Groop LC, Cobelli C, Tuomi T.

Eur J Endocrinol. 2018 Apr;178(4):331-341. doi: 10.1530/EJE-17-0921. Epub 2018 Jan 25.

PMID:
29371336
10.

HPV16 E6 and E7 upregulate the histone lysine demethylase KDM2B through the c-MYC/miR-146a-5p axys.

Peta E, Sinigaglia A, Masi G, Di Camillo B, Grassi A, Trevisan M, Messa L, Loregian A, Manfrin E, Brunelli M, Martignoni G, Palù G, Barzon L.

Oncogene. 2018 Mar;37(12):1654-1668. doi: 10.1038/s41388-017-0083-1. Epub 2018 Jan 16.

PMID:
29335520
11.

Mycobacterium tuberculosis-induced miR-155 subverts autophagy by targeting ATG3 in human dendritic cells.

Etna MP, Sinigaglia A, Grassi A, Giacomini E, Romagnoli A, Pardini M, Severa M, Cruciani M, Rizzo F, Anastasiadou E, Di Camillo B, Barzon L, Fimia GM, Manganelli R, Coccia EM.

PLoS Pathog. 2018 Jan 4;14(1):e1006790. doi: 10.1371/journal.ppat.1006790. eCollection 2018 Jan.

12.

DNA methylation profiling reveals common signatures of tumorigenesis and defines epigenetic prognostic subtypes of canine Diffuse Large B-cell Lymphoma.

Ferraresso S, Aricò A, Sanavia T, Da Ros S, Milan M, Cascione L, Comazzi S, Martini V, Giantin M, Di Camillo B, Mazzariol S, Giannuzzi D, Marconato L, Aresu L.

Sci Rep. 2017 Sep 14;7(1):11591. doi: 10.1038/s41598-017-11724-w.

13.

Single-Cell RNA-Sequencing: Assessment of Differential Expression Analysis Methods.

Dal Molin A, Baruzzo G, Di Camillo B.

Front Genet. 2017 May 23;8:62. doi: 10.3389/fgene.2017.00062. eCollection 2017.

14.

In Silico Modeling of the Antiplatelet Pharmacodynamics of Low-dose Aspirin in Health and Disease.

Giaretta A, Rocca B, Di Camillo B, Toffolo GM, Patrono C.

Clin Pharmacol Ther. 2017 Nov;102(5):823-831. doi: 10.1002/cpt.694. Epub 2017 May 30.

PMID:
28378909
15.

Measuring the diversity of the human microbiota with targeted next-generation sequencing.

Finotello F, Mastrorilli E, Di Camillo B.

Brief Bioinform. 2018 Jul 20;19(4):679-692. doi: 10.1093/bib/bbw119.

PMID:
28025179
16.

bnstruct: an R package for Bayesian Network structure learning in the presence of missing data.

Franzin A, Sambo F, Di Camillo B.

Bioinformatics. 2017 Apr 15;33(8):1250-1252. doi: 10.1093/bioinformatics/btw807.

PMID:
28003263
17.

Simulation-based comprehensive benchmarking of RNA-seq aligners.

Baruzzo G, Hayer KE, Kim EJ, Di Camillo B, FitzGerald GA, Grant GR.

Nat Methods. 2017 Feb;14(2):135-139. doi: 10.1038/nmeth.4106. Epub 2016 Dec 12.

18.

Down-regulation of microRNA-146a is associated with high-risk human papillomavirus infection and epidermal growth factor receptor overexpression in penile squamous cell carcinoma.

Peta E, Cappellesso R, Masi G, Sinigaglia A, Trevisan M, Grassi A, Di Camillo B, Vassarotto E, Fassina A, Palù G, Barzon L.

Hum Pathol. 2017 Mar;61:33-40. doi: 10.1016/j.humpath.2016.10.019. Epub 2016 Nov 4.

PMID:
27818285
19.

The Genetic Landscape of Renal Complications in Type 1 Diabetes.

Sandholm N, Van Zuydam N, Ahlqvist E, Juliusdottir T, Deshmukh HA, Rayner NW, Di Camillo B, Forsblom C, Fadista J, Ziemek D, Salem RM, Hiraki LT, Pezzolesi M, Trégouët D, Dahlström E, Valo E, Oskolkov N, Ladenvall C, Marcovecchio ML, Cooper J, Sambo F, Malovini A, Manfrini M, McKnight AJ, Lajer M, Harjutsalo V, Gordin D, Parkkonen M; The FinnDiane Study Group, Tuomilehto J, Lyssenko V, McKeigue PM, Rich SS, Brosnan MJ, Fauman E, Bellazzi R, Rossing P, Hadjadj S, Krolewski A, Paterson AD; The DCCT/EDIC Study Group, Florez JC, Hirschhorn JN, Maxwell AP; GENIE Consortium, Dunger D, Cobelli C, Colhoun HM, Groop L, McCarthy MI, Groop PH; SUMMIT Consortium.

J Am Soc Nephrol. 2017 Feb;28(2):557-574. doi: 10.1681/ASN.2016020231. Epub 2016 Sep 19.

20.

A rule-based model of insulin signalling pathway.

Di Camillo B, Carlon A, Eduati F, Toffolo GM.

BMC Syst Biol. 2016 Jun 1;10(1):38. doi: 10.1186/s12918-016-0281-4.

21.

Reconstruction of gene regulatory modules from RNA silencing of IFN-α modulators: experimental set-up and inference method.

Grassi A, Di Camillo B, Ciccarese F, Agnusdei V, Zanovello P, Amadori A, Finesso L, Indraccolo S, Toffolo GM.

BMC Genomics. 2016 Mar 12;17:228. doi: 10.1186/s12864-016-2525-5.

22.

Can ecological history influence response to pollutants? Transcriptomic analysis of Manila clam collected in different Venice lagoon areas and exposed to heavy metal.

Milan M, Matozzo V, Pauletto M, Di Camillo B, Giacomazzo M, Boffo L, Binato G, Marin MG, Patarnello T, Bargelloni L.

Aquat Toxicol. 2016 May;174:123-33. doi: 10.1016/j.aquatox.2016.02.024. Epub 2016 Mar 2.

PMID:
26945539
23.

Modeling HPV early promoter regulation.

Giaretta A, Di Camillo B, Barzon L, Toffolo GM.

Conf Proc IEEE Eng Med Biol Soc. 2015;2015:6493-6. doi: 10.1109/EMBC.2015.7319880.

PMID:
26737780
24.

A Bayesian Network analysis of the probabilistic relations between risk factors in the predisposition to type 2 diabetes.

Sambo F, Di Camillo B, Franzin A, Facchinetti A, Hakaste L, Kravic J, Fico G, Tuomilehto J, Groop L, Gabriel R, Tuomi T, Cobelli C.

Conf Proc IEEE Eng Med Biol Soc. 2015;2015:2119-22. doi: 10.1109/EMBC.2015.7318807.

PMID:
26736707
25.

A Dynamic Bayesian Network model for long-term simulation of clinical complications in type 1 diabetes.

Marini S, Trifoglio E, Barbarini N, Sambo F, Di Camillo B, Malovini A, Manfrini M, Cobelli C, Bellazzi R.

J Biomed Inform. 2015 Oct;57:369-76. doi: 10.1016/j.jbi.2015.08.021. Epub 2015 Aug 29.

26.

FunPat: function-based pattern analysis on RNA-seq time series data.

Sanavia T, Finotello F, Di Camillo B.

BMC Genomics. 2015;16:S2. doi: 10.1186/1471-2164-16-S6-S2. Epub 2015 Jun 1.

27.

Toxicogenomic markers for corticosteroid treatment in beef cattle: integrated analysis of transcriptomic data.

Pegolo S, Di Camillo B, Montesissa C, Cannizzo FT, Biolatti B, Bargelloni L.

Food Chem Toxicol. 2015 Mar;77:1-11. doi: 10.1016/j.fct.2014.12.001. Epub 2014 Dec 19.

28.

Early origins of adult disease: low birth weight and vascular remodeling.

Visentin S, Grumolato F, Nardelli GB, Di Camillo B, Grisan E, Cosmi E.

Atherosclerosis. 2014 Dec;237(2):391-9. doi: 10.1016/j.atherosclerosis.2014.09.027. Epub 2014 Sep 30. Review.

PMID:
25463063
29.

Changes in microRNA expression during disease progression in patients with chronic viral hepatitis.

Sinigaglia A, Lavezzo E, Trevisan M, Sanavia T, Di Camillo B, Peta E, Scarpa M, Castagliuolo I, Guido M, Sarcognato S, Cappellesso R, Fassina A, Cardin R, Farinati F, Palù G, Barzon L.

Liver Int. 2015 Apr;35(4):1324-33. doi: 10.1111/liv.12737. Epub 2015 Jan 13.

PMID:
25417901
30.

Measuring differential gene expression with RNA-seq: challenges and strategies for data analysis.

Finotello F, Di Camillo B.

Brief Funct Genomics. 2015 Mar;14(2):130-42. doi: 10.1093/bfgp/elu035. Epub 2014 Sep 18. Review.

PMID:
25240000
31.

3DSpectra: A 3-dimensional quantification algorithm for LC-MS labeled profile data.

Nasso S, Hartler J, Trajanoski Z, Di Camillo B, Mechtler K, Toffolo GM.

J Proteomics. 2015 Jan 1;112:156-65. doi: 10.1016/j.jprot.2014.08.017. Epub 2014 Sep 16.

PMID:
25218586
32.

Global genomic and transcriptomic analysis of human pancreatic islets reveals novel genes influencing glucose metabolism.

Fadista J, Vikman P, Laakso EO, Mollet IG, Esguerra JL, Taneera J, Storm P, Osmark P, Ladenvall C, Prasad RB, Hansson KB, Finotello F, Uvebrant K, Ofori JK, Di Camillo B, Krus U, Cilio CM, Hansson O, Eliasson L, Rosengren AH, Renström E, Wollheim CB, Groop L.

Proc Natl Acad Sci U S A. 2014 Sep 23;111(38):13924-9. doi: 10.1073/pnas.1402665111. Epub 2014 Sep 8.

33.

Compression and fast retrieval of SNP data.

Sambo F, Di Camillo B, Toffolo G, Cobelli C.

Bioinformatics. 2014 Nov 1;30(21):3078-85. doi: 10.1093/bioinformatics/btu495. Epub 2014 Jul 26.

34.

Novel genetic susceptibility loci for diabetic end-stage renal disease identified through robust naive Bayes classification.

Sambo F, Malovini A, Sandholm N, Stavarachi M, Forsblom C, Mäkinen VP, Harjutsalo V, Lithovius R, Gordin D, Parkkonen M, Saraheimo M, Thorn LM, Tolonen N, Wadén J, He B, Osterholm AM, Tuomilehto J, Lajer M, Salem RM, McKnight AJ; GENIE Consortium, Tarnow L, Panduru NM, Barbarini N, Di Camillo B, Toffolo GM, Tryggvason K, Bellazzi R, Cobelli C; FinnDiane Study Group, Groop PH.

Diabetologia. 2014 Aug;57(8):1611-22. doi: 10.1007/s00125-014-3256-2. Epub 2014 May 29.

PMID:
24871321
35.

Leucine modulates dynamic phosphorylation events in insulin signaling pathway and enhances insulin-dependent glycogen synthesis in human skeletal muscle cells.

Di Camillo B, Eduati F, Nair SK, Avogaro A, Toffolo GM.

BMC Cell Biol. 2014 Mar 20;15:9. doi: 10.1186/1471-2121-15-9.

36.

Reducing bias in RNA sequencing data: a novel approach to compute counts.

Finotello F, Lavezzo E, Bianco L, Barzon L, Mazzon P, Fontana P, Toppo S, Di Camillo B.

BMC Bioinformatics. 2014;15 Suppl 1:S7. doi: 10.1186/1471-2105-15-S1-S7. Epub 2014 Jan 10.

37.

ABACUS: an entropy-based cumulative bivariate statistic robust to rare variants and different direction of genotype effect.

Di Camillo B, Sambo F, Toffolo G, Cobelli C.

Bioinformatics. 2014 Feb 1;30(3):384-91. doi: 10.1093/bioinformatics/btt697. Epub 2013 Nov 28.

PMID:
24292361
38.

Genomic comparative analysis and gene function prediction in infectious diseases: application to the investigation of a meningitis outbreak.

Lavezzo E, Toppo S, Franchin E, Di Camillo B, Finotello F, Falda M, Manganelli R, Palù G, Barzon L.

BMC Infect Dis. 2013 Nov 19;13:554. doi: 10.1186/1471-2334-13-554.

39.

Accurate human papillomavirus genotyping by 454 pyrosequencing.

Militello V, Lavezzo E, Costanzi G, Franchin E, Di Camillo B, Toppo S, Palù G, Barzon L.

Clin Microbiol Infect. 2013 Oct;19(10):E428-34. doi: 10.1111/1469-0691.12219. Epub 2013 Apr 10.

40.

Microarray demonstrates different gene expression profiling signatures between Waldenström macroglobulinemia and IgM monoclonal gammopathy of undetermined significance.

Trojani A, Greco A, Tedeschi A, Lodola M, Di Camillo B, Ricci F, Turrini M, Varettoni M, Rattotti S, Morra E.

Clin Lymphoma Myeloma Leuk. 2013 Apr;13(2):208-10. doi: 10.1016/j.clml.2013.02.012. Epub 2013 Mar 9.

PMID:
23477935
41.

A large-scale evaluation of computational protein function prediction.

Radivojac P, Clark WT, Oron TR, Schnoes AM, Wittkop T, Sokolov A, Graim K, Funk C, Verspoor K, Ben-Hur A, Pandey G, Yunes JM, Talwalkar AS, Repo S, Souza ML, Piovesan D, Casadio R, Wang Z, Cheng J, Fang H, Gough J, Koskinen P, Törönen P, Nokso-Koivisto J, Holm L, Cozzetto D, Buchan DW, Bryson K, Jones DT, Limaye B, Inamdar H, Datta A, Manjari SK, Joshi R, Chitale M, Kihara D, Lisewski AM, Erdin S, Venner E, Lichtarge O, Rentzsch R, Yang H, Romero AE, Bhat P, Paccanaro A, Hamp T, Kaßner R, Seemayer S, Vicedo E, Schaefer C, Achten D, Auer F, Boehm A, Braun T, Hecht M, Heron M, Hönigschmid P, Hopf TA, Kaufmann S, Kiening M, Krompass D, Landerer C, Mahlich Y, Roos M, Björne J, Salakoski T, Wong A, Shatkay H, Gatzmann F, Sommer I, Wass MN, Sternberg MJ, Škunca N, Supek F, Bošnjak M, Panov P, Džeroski S, Šmuc T, Kourmpetis YA, van Dijk AD, ter Braak CJ, Zhou Y, Gong Q, Dong X, Tian W, Falda M, Fontana P, Lavezzo E, Di Camillo B, Toppo S, Lan L, Djuric N, Guo Y, Vucetic S, Bairoch A, Linial M, Babbitt PC, Brenner SE, Orengo C, Rost B, Mooney SD, Friedberg I.

Nat Methods. 2013 Mar;10(3):221-7. doi: 10.1038/nmeth.2340. Epub 2013 Jan 27.

42.

Bag of Naïve Bayes: biomarker selection and classification from genome-wide SNP data.

Sambo F, Trifoglio E, Di Camillo B, Toffolo GM, Cobelli C.

BMC Bioinformatics. 2012;13 Suppl 14:S2. doi: 10.1186/1471-2105-13-S14-S2. Epub 2012 Sep 7.

43.

MORE: mixed optimization for reverse engineering--an application to modeling biological networks response via sparse systems of nonlinear differential equations.

Sambo F, de Oca MA, Di Camillo B, Toffolo G, Stützle T.

IEEE/ACM Trans Comput Biol Bioinform. 2012 Sep-Oct;9(5):1459-71. doi: 10.1109/TCBB.2012.56.

PMID:
22837424
44.

Integrating literature-constrained and data-driven inference of signalling networks.

Eduati F, De Las Rivas J, Di Camillo B, Toffolo G, Saez-Rodriguez J.

Bioinformatics. 2012 Sep 15;28(18):2311-7. doi: 10.1093/bioinformatics/bts363. Epub 2012 Jun 25.

45.

Confined 3D microenvironment regulates early differentiation in human pluripotent stem cells.

Giobbe GG, Zagallo M, Riello M, Serena E, Masi G, Barzon L, Di Camillo B, Elvassore N.

Biotechnol Bioeng. 2012 Dec;109(12):3119-32. doi: 10.1002/bit.24571. Epub 2012 Jun 20.

PMID:
22674472
46.

Qualitative reasoning for biological network inference from systematic perturbation experiments.

Badaloni S, Di Camillo B, Sambo F.

IEEE/ACM Trans Comput Biol Bioinform. 2012 Sep-Oct;9(5):1482-91.

PMID:
22585141
47.

Improving biomarker list stability by integration of biological knowledge in the learning process.

Sanavia T, Aiolli F, Da San Martino G, Bisognin A, Di Camillo B.

BMC Bioinformatics. 2012 Mar 28;13 Suppl 4:S22. doi: 10.1186/1471-2105-13-S4-S22.

48.

Argot2: a large scale function prediction tool relying on semantic similarity of weighted Gene Ontology terms.

Falda M, Toppo S, Pescarolo A, Lavezzo E, Di Camillo B, Facchinetti A, Cilia E, Velasco R, Fontana P.

BMC Bioinformatics. 2012 Mar 28;13 Suppl 4:S14. doi: 10.1186/1471-2105-13-S4-S14.

49.

Effect of size and heterogeneity of samples on biomarker discovery: synthetic and real data assessment.

Di Camillo B, Sanavia T, Martini M, Jurman G, Sambo F, Barla A, Squillario M, Furlanello C, Toffolo G, Cobelli C.

PLoS One. 2012;7(3):e32200. doi: 10.1371/journal.pone.0032200. Epub 2012 Mar 5.

50.

Function-based discovery of significant transcriptional temporal patterns in insulin stimulated muscle cells.

Di Camillo B, Irving BA, Schimke J, Sanavia T, Toffolo G, Cobelli C, Nair KS.

PLoS One. 2012;7(3):e32391. doi: 10.1371/journal.pone.0032391. Epub 2012 Mar 1.

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