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Results: 1 to 20 of 49

1.

Severe protein malnutrition in a morbidly obese patient after bariatric surgery.

Martins Tde C, Duarte TC, Mosca ER, Pinheiro Cde F, Marçola MA, De-Souza DA.

Nutrition. 2015 Mar;31(3):535-8. doi: 10.1016/j.nut.2014.10.011. Epub 2014 Nov 4.

PMID:
25701346
2.

Micro- and macro-geographic scale effect on the molecular imprint of selection and adaptation in Norway spruce.

Scalfi M, Mosca E, Di Pierro EA, Troggio M, Vendramin GG, Sperisen C, La Porta N, Neale DB.

PLoS One. 2014 Dec 31;9(12):e115499. doi: 10.1371/journal.pone.0115499. eCollection 2014.

3.

Diffusion of information throughout the host interactome reveals gene expression variations in network proximity to target proteins of hepatitis C virus.

Mosca E, Alfieri R, Milanesi L.

PLoS One. 2014 Dec 2;9(12):e113660. doi: 10.1371/journal.pone.0113660. eCollection 2014.

4.

The effects of sex and neonatal stress on pituitary adenylate cyclase-activating peptide expression.

Mosca EV, Rousseau JP, Gulemetova R, Kinkead R, Wilson RJ.

Exp Physiol. 2015 Feb 1;100(2):203-15. doi: 10.1113/expphysiol.2014.082180. Epub 2015 Jan 20.

PMID:
25398710
5.

Parallel solutions for voxel-based simulations of reaction-diffusion systems.

D'Agostino D, Pasquale G, Clematis A, Maj C, Mosca E, Milanesi L, Merelli I.

Biomed Res Int. 2014;2014:980501. doi: 10.1155/2014/980501. Epub 2014 Jun 12.

6.

Methylxanthine reversal of opioid-induced respiratory depression in the neonatal rat: mechanism and location of action.

Mosca EV, Ciechanski P, Roy A, Scheibli EC, Ballanyi K, Wilson RJ.

Respir Physiol Neurobiol. 2014 Aug 15;200:80-9. doi: 10.1016/j.resp.2014.06.002. Epub 2014 Jun 7.

PMID:
24914466
7.

Network-based analysis of omics with multi-objective optimization.

Mosca E, Milanesi L.

Mol Biosyst. 2013 Dec;9(12):2971-80. doi: 10.1039/c3mb70327d. Epub 2013 Oct 14.

PMID:
24121459
8.

Environmental versus geographical determinants of genetic structure in two subalpine conifers.

Mosca E, González-Martínez SC, Neale DB.

New Phytol. 2014 Jan;201(1):180-92. doi: 10.1111/nph.12476. Epub 2013 Sep 16.

PMID:
24102203
9.

Decreased transcriptional activity of calcium-sensing receptor gene promoter 1 is associated with calcium nephrolithiasis.

Vezzoli G, Terranegra A, Aloia A, Arcidiacono T, Milanesi L, Mosca E, Mingione A, Spotti D, Cusi D, Hou J, Hendy GN, Soldati L; GENIAL network (Genetics and Environment in Nephrolithiasis Italian Alliance), Paloschi V, Dogliotti E, Brasacchio C, Dell'Antonio G, Montorsi F, Bertini R, Bellinzoni P, Guazzoni G, Borghi L, Guerra A, Allegri F, Ticinesi A, Meschi T, Nouvenne A, Lupo A, Fabris A, Gambaro G, Strazzullo P, Rendina D, De Filippo G, Brandi ML, Croppi E, Cianferotti L, Trinchieri A, Caudarella R, Cupisti A, Anglani F, Del Prete D.

J Clin Endocrinol Metab. 2013 Sep;98(9):3839-47. doi: 10.1210/jc.2013-1834. Epub 2013 Jul 17.

10.

Sensitivity analysis for studying the relation between biochemical reactions and metabolic phenotypes.

Maj C, Mosca E, Merelli I, Mauri G, Milanesi L.

J Bioinform Comput Biol. 2013 Feb;11(1):1340002. doi: 10.1142/S0219720013400027. Epub 2013 Jan 28.

PMID:
23427984
11.

SNPranker 2.0: a gene-centric data mining tool for diseases associated SNP prioritization in GWAS.

Merelli I, Calabria A, Cozzi P, Viti F, Mosca E, Milanesi L.

BMC Bioinformatics. 2013;14 Suppl 1:S9. doi: 10.1186/1471-2105-14-S1-S9. Epub 2013 Jan 14.

12.

Computational modeling of the metabolic States regulated by the kinase akt.

Mosca E, Alfieri R, Maj C, Bevilacqua A, Canti G, Milanesi L.

Front Physiol. 2012 Nov 21;3:418. doi: 10.3389/fphys.2012.00418. eCollection 2012.

13.

Contrasting patterns of nucleotide diversity for four conifers of Alpine European forests.

Mosca E, Eckert AJ, Liechty JD, Wegrzyn JL, La Porta N, Vendramin GG, Neale DB.

Evol Appl. 2012 Nov;5(7):762-75. doi: 10.1111/j.1752-4571.2012.00256.x.

14.

The geographical and environmental determinants of genetic diversity for four alpine conifers of the European Alps.

Mosca E, Eckert AJ, Di Pierro EA, Rocchini D, La Porta N, Belletti P, Neale DB.

Mol Ecol. 2012 Nov;21(22):5530-45. doi: 10.1111/mec.12043. Epub 2012 Oct 12.

PMID:
23058000
15.

Systems biology of the metabolic network regulated by the Akt pathway.

Mosca E, Barcella M, Alfieri R, Bevilacqua A, Canti G, Milanesi L.

Biotechnol Adv. 2012 Jan-Feb;30(1):131-41. doi: 10.1016/j.biotechadv.2011.08.004. Epub 2011 Aug 12. Review.

PMID:
21856401
16.

A multilevel data integration resource for breast cancer study.

Mosca E, Alfieri R, Merelli I, Viti F, Calabria A, Milanesi L.

BMC Syst Biol. 2010 Jun 3;4:76. doi: 10.1186/1752-0509-4-76.

17.

SNPRanker: a tool for identification and scoring of SNPs associated to target genes.

Calabria A, Mosca E, Viti F, Merelli I, Milanesi L.

J Integr Bioinform. 2010 Mar 25;7(3). doi: 10.2390/biecoll-jib-2010-138.

PMID:
20375450
18.

Calcium kidney stones are associated with a haplotype of the calcium-sensing receptor gene regulatory region.

Vezzoli G, Terranegra A, Arcidiacono T, Gambaro G, Milanesi L, Mosca E, Soldati L; GENIAL network (Genetics and Environment in Nephrolithiasis Italian Alliance).

Nephrol Dial Transplant. 2010 Jul;25(7):2245-52. doi: 10.1093/ndt/gfp760. Epub 2010 Jan 12.

19.

Overlapping genes may control reprogramming of mouse somatic cells into induced pluripotent stem cells (iPSCs) and breast cancer stem cells.

Mosca E, Cocola C, Sabour D, Pelucchi P, Bertalot G, Palumbo O, Carella M, Götte M, Schöler HR, Reinbold R, Zucchi I, Milanesi L.

In Silico Biol. 2010;10(5-6):207-21. doi: 10.3233/ISB-2010-0437.

PMID:
22430355
20.

Identification of functionally related genes using data mining and data integration: a breast cancer case study.

Mosca E, Bertoli G, Piscitelli E, Vilardo L, Reinbold RA, Zucchi I, Milanesi L.

BMC Bioinformatics. 2009 Oct 15;10 Suppl 12:S8. doi: 10.1186/1471-2105-10-S12-S8.

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