Mattia Pelizzola

Researcher
Researcher

Research Lines

Genomic Science

Center

CGS@SEMM Milano

Contacts

Via Adamello 16
0039-02-94375019

Social profiles

twitter

About

Education

2006: PhD “Complexity in post-genomic biology”. University of Torino, Advisor M. Caselle.

2003: MSBioinformatics”. University of Milano-Bicocca, Advisor P. Ricciardi-Castagnoli.

2001: MSc “Industrial Biotechnologies”. University of Milano-Bicocca.

Working experience

2011 Researcher. Team leader of the Epigenomics and Transcriptional Regulation unit at the Center for Genomic Science, c/o IFOM-IEO Campus, Milano.

2009 Postdoctoral Research Associate. Genomic Analysis Lab, Salk Institute, Advisor J.R. Ecker.

2007 Postdoctoral Research AssociateBiostatistic Division, Yale University, Advisor A. Molinaro.

2001 Computational biologist. Genopolis Consortium (University of Milano-Bicocca), Italy.

1999 Molecular biologist. University of Milano-Bicocca, Italy.

 

Interests

epigenomics transcriptional regulation DNA and RNA methylation RNA metabolism next generation sequencing integrative genomics

Selected Publications

  • 2020
    Furlan M., de Pretis S., Pelizzola M.iit
    DOI

    Dynamics of transcriptional and post-transcriptional regulation

    Briefings in Bioinformatics
  • Furlan M., Galeota E., Del Gaudio N., Dassi E., Caselle M., de Pretis S., Pelizzola M.iit
    DOI

    Genome-wide dynamics of RNA synthesis, processing and degradation without RNA metabolic labeling

    Genome Research
  • 2017
    De Pretis S.iit, Kress T.R.iit, Morelli M.J.iit, Sabo A.iit, Locarno C.iit, Verrecchia A., Doni M., Campaner S.iit, Amati B.iit, Pelizzola M.iit
    DOI

    Integrative analysis of RNA polymerase II and transcriptional dynamics upon MYC activation

    Genome Research, vol. 27, (no. 10), pp. 1658-1664
  • Galeota E.iit, Pelizzola M.iit
    DOI

    Ontology-based annotations and semantic relations in large-scale (epi)genomics data

    Briefings in Bioinformatics, vol. 18, (no. 3), pp. 403-412
  • 2015
    De Pretis S.iit, Kress T.iit, Morelli M.J.iit, Melloni G.E.M.iit, Riva L.iit, Amati B.iit, Pelizzola M.iit
    DOI

    INSPEcT: A computational tool to infer mRNA synthesis, processing and degradation dynamics from RNA- and 4sU-seq time course experiments

    Bioinformatics, vol. 31, (no. 17), pp. 2829-2835

IIT Publications

  • 2020
  • Furlan M.iit, Tanaka I.iit, Leonardi T.iit, de Pretis S.iit, Pelizzola M.iit
    DOI

    Direct RNA Sequencing for the Study of Synthesis, Processing, and Degradation of Modified Transcripts

    Frontiers in Genetics, vol. 11
  • Furlan M., de Pretis S., Pelizzola M.iit
    DOI

    Dynamics of transcriptional and post-transcriptional regulation

    Briefings in Bioinformatics
  • Dassi E., Baranov P.V., Pelizzola M.iit
    DOI

    Editorial: Computational Epitranscriptomics: Bioinformatic Approaches for the Analysis of RNA Modifications

    Frontiers in Genetics, vol. 11
  • Furlan M., Galeota E., Del Gaudio N., Dassi E., Caselle M., de Pretis S., Pelizzola M.iit
    DOI

    Genome-wide dynamics of RNA synthesis, processing and degradation without RNA metabolic labeling

    Genome Research
  • de Pretis S.iit, Furlan M.iit, Pelizzola M.iit
    DOI

    INSPEcT-GUI Reveals the Impact of the Kinetic Rates of RNA Synthesis, Processing, and Degradation, on Premature and Mature RNA Species

    Frontiers in Genetics, vol. 11
  • Galeota E.iit, Kishore K.iit, Pelizzola M.iit
    DOI

    Ontology-driven integrative analysis of omics data through Onassis

    Scientific Reports, vol. 10, (no. 1)
  • Biasini A., Abdulkarim B., de Pretis S.iit, Tan J.Y., Arora R., Wischnewski H., Dreos R., Pelizzola M.iit, Ciaudo C., Marques A.C.
    DOI

    Translation is required for miRNA-dependent decay of endogenous transcripts

    EMBO Journal
  • 2019
  • Lepesant J.M.J., Iampietro C., Galeota E., Auge B., Aguirrenbengoa M., Merce C., Chaubet C., Rocher V., Haenlin M., Waltzer L., Pelizzola M.iit, Di Stefano L.
    DOI

    A dual role of dLsd1 in oogenesis: regulating developmental genes and repressing transposons

    Nucleic Acids Research
  • Tesi A.iit, de Pretis S.iit, Furlan M.iit, Filipuzzi M., Morelli M.J.iit, Andronache A.iit, Doni M., Verrecchia A., Pelizzola M.iit, Amati B., Sabo A.
    DOI

    An early Myc-dependent transcriptional program orchestrates cell growth during B-cell activation

    EMBO Reports, vol. 20, (no. 9)
  • Furlan M.iit, Galeota E.iit, de Pretis S.iit, Caselle M., Pelizzola M.iit
    DOI

    M6A-dependent RNA dynamics in T cell differentiation

    Genes, vol. 10, (no. 1)
  • Lobo J., Costa A.L., Cantante M., Guimaraes R., Lopes P., Antunes L., Braga I., Oliveira J., Pelizzola M.iit, Henrique R., Jeronimo C.
    DOI

    M6A RNA modification and its writer/reader VIRMA/YTHDF3 in testicular germ cell tumors: A role in seminoma phenotype maintenance

    Journal of Translational Medicine, vol. 17, (no. 1)
  • Madaro L., Torcinaro A., De Bardi M., Contino F. F., Pelizzola M.iit, Diaferia G. R., Imeneo G., Bouchè M., Puri P. L., De Santa F.
    DOI

    Macrophages fine tune satellite cell fate in dystrophic skeletal muscle of mdx mice

    PLoS Genetics
  • 2018
  • Yizhar-Barnea O., Valensisi C., Jayavelu N.D., Kishore K.iit, Andrus C., Koffler-Brill T., Ushakov K., Perl K., Noy Y., Bhonker Y., Pelizzola M.iit, Hawkins R.D., Avraham K.B.
    DOI

    DNA methylation dynamics during embryonic development and postnatal maturation of the mouse auditory sensory epithelium

    Scientific Reports, vol. 8, (no. 1)
  • Kishore K.iit, Pelizzola M.iit
    DOI

    Identification of differentially methylated regions in the genome of Arabidopsis thaliana

    Methods in molecular biology (Clifton, N.J.), vol. 1675, pp. 61-69
  • Jantsch M.F., Quattrone A., O'Connell M., Helm M., Frye M., Macias-Gonzales M., Ohman M., Ameres S., Willems L., Fuks F., Oulas A., Vanacova S., Nielsen H., Bousquet-Antonelli C., Motorin Y., Roignant J.-Y., Balatsos N., Dinnyes A., Baranov P., Kelly V., Lamm A., Rechavi G., Pelizzola M.iit, Liepins J., Holodnuka Kholodnyuk I., Zammit V., Ayers D., Drablos F., Dahl J.A., Bujnicki J., Jeronimo C., Almeida R., Neagu M., Costache M., Bankovic J., Banovic B., Kyselovic J., Valor L.M., Selbert S., Pir P., Demircan T., Cowling V., Schafer M., Rossmanith W., Lafontaine D., David A., Carre C., Lyko F., Schaffrath R., Schwartz S., Verdel A., Klungland A., Purta E., Timotijevic G., Cardona F., Davalos A., Ballana E., OCarroll D., Ule J., Fray R.
    DOI

    Positioning Europe for the EPITRANSCRIPTOMICS challenge

    RNA Biology, vol. 15, (no. 6), pp. 829-831
  • 2017
  • Donato E.iit, Croci O.iit, Sabo A.iit, Muller H.iit, Morelli M.J.iit, Pelizzola M.iit, Campaner S.iit
    DOI

    Compensatory RNA polymerase 2 loading determines the efficacy and transcriptional selectivity of JQ1 in Myc-driven tumors

    Leukemia, vol. 31, (no. 2), pp. 479-490
  • Pistore C., Giannoni E., Colangelo T., Rizzo F., Magnani E., Muccillo L., Giurato G., Mancini M., Rizzo S., Riccardi M., Sahnane N., Del Vescovo V., Kishore K.iit, Mandruzzato M., MacChi F., Pelizzola M.iit, Denti M.A., Furlan D., Weisz A., Colantuoni V., Chiarugi P., Bonapace I.M.
    DOI

    DNA methylation variations are required for epithelial-to-mesenchymal transition induced by cancer-associated fibroblasts in prostate cancer cells

    Oncogene, vol. 36, (no. 40), pp. 5551-5566
  • De Pretis S.iit, Kress T.R.iit, Morelli M.J.iit, Sabo A.iit, Locarno C.iit, Verrecchia A., Doni M., Campaner S.iit, Amati B.iit, Pelizzola M.iit
    DOI

    Integrative analysis of RNA polymerase II and transcriptional dynamics upon MYC activation

    Genome Research, vol. 27, (no. 10), pp. 1658-1664
  • Mukherjee N., Calviello L., Hirsekorn A., De Pretis S.iit, Pelizzola M.iit, Ohler U.
    DOI

    Integrative classification of human coding and noncoding genes through RNA metabolism profiles

    Nature Structural and Molecular Biology, vol. 24, (no. 1), pp. 86-96
  • Galeota E.iit, Pelizzola M.iit
    DOI

    Ontology-based annotations and semantic relations in large-scale (epi)genomics data

    Briefings in Bioinformatics, vol. 18, (no. 3), pp. 403-412
  • 2016
  • Pelizzola M.iit

    Computational epigenomics

    Handbook of Neurobehavioral Genetics and Phenotyping, Publisher: Wiley
  • Marzi M.J.iit, Ghini F.iit, Cerruti B.iit, De Pretis S.iit, Bonetti P.iit, Giacomelli C.iit, Gorski M.M., Kress T.iit, Pelizzola M.iit, Muller H.iit, Amati B.iit, Nicassio F.iit
    DOI

    Degradation dynamics of micrornas revealed by a novel pulse-chase approach

    Genome Research, vol. 26, (no. 4), pp. 554-565
  • Bianchi V.iit, Ceol A.iit, Ogier A.G.E., De Pretis S.iit, Galeota E.iit, Kishore K.iit, Bora P.iit, Croci O.iit, Campaner S.iit, Amati B.iit, Morelli M.J.iit, Pelizzola M.iit
    DOI

    Integrated systems for NGS data management and analysis: Open issues and available solutions

    Frontiers in Genetics, vol. 7, (no. MAY)
  • Melloni G.E.M.iit, de Pretis S.iit, Riva L.iit, Pelizzola M.iit, Ceol A.iit, Costanza J.iit, Muller H.iit, Zammataro L.iit
    DOI

    LowMACA: Exploiting protein family analysis for the identification of rare driver mutations in cancer

    BMC Bioinformatics, vol. 17, (no. 1)
  • Polena H., Boudou F., Tilleul S., Dubois-Colas N., Lecointe C., Rakotosamimanana N., Pelizzola M., Andriamandimby S.F., Raharimanga V., Charles P., Herrmann J.-L., Ricciardi-Castagnoli P., Rasolofo V., Gicquel B., Tailleux L.
    DOI

    Mycobacterium tuberculosis exploits the formation of new blood vessels for its dissemination

    Scientific Reports, vol. 6
  • 2015
  • Robinson M.D., Pelizzola M.iit
    DOI

    Computational epigenomics: Challenges and opportunities

    Frontiers in Genetics, vol. 5, (no. FEB)
  • De Pretis S.iit, Kress T.iit, Morelli M.J.iit, Melloni G.E.M.iit, Riva L.iit, Amati B.iit, Pelizzola M.iit
    DOI

    INSPEcT: A computational tool to infer mRNA synthesis, processing and degradation dynamics from RNA- and 4sU-seq time course experiments

    Bioinformatics, vol. 31, (no. 17), pp. 2829-2835
  • Kishore K.iit, de Pretis S.iit, Lister R., Morelli M.J.iit, Bianchi V.iit, Amati B.iit, Ecker J.R., Pelizzola M.iit
    DOI

    methylPipe and compEpiTools: A suite of R packages for the integrative analysis of epigenomics data

    BMC Bioinformatics, vol. 16, (no. 1)
  • Pelizzola M.iit, Morelli M.J.iit, Sabo A.iit, Kress T.R.iit, de Pretis S.iit, Amati B.iit
    DOI

    Selective transcriptional regulation by Myc: Experimental design and computational analysis of high-throughput sequencing data

    Data in Brief, vol. 3, pp. 40-46
  • Austenaa L.M.I., Barozzi I., Simonatto M., Masella S., Della Chiara G., Ghisletti S., Curina A., de Wit E., Bouwman B.A.M., de Pretis S.iit, Piccolo V., Termanini A., Prosperini E., Pelizzola M.iit, de Laat W., Natoli G.
    DOI

    Transcription of Mammalian cis-Regulatory Elements Is Restrained by Actively Enforced Early Termination

    Molecular Cell, vol. 60, (no. 3), pp. 460-474
  • 2014
  • de Pretis S.iit, Pelizzola M.iit
    DOI

    Computational and experimental methods to decipher the epigenetic code

    Frontiers in Genetics, vol. 5, (no. SEP)
  • Melloni G.E.M.iit, Ogier A.G.E., de Pretis S.iit, Mazzarella L., Pelizzola M.iit, Pelicci P.G., Riva L.iit
    DOI

    DOTS-Finder: A comprehensive tool for assessing driver genes in cancer genomes

    Genome Medicine, vol. 6, (no. 6)
  • Almouzni G., Altucci L., Amati B.iit, Ashley N., Baulcombe D., Beaujean N., Bock C., Bongcam-Rudloff E., Bousquet J., Braun S., Paillerets B.B.D., Bussemakers M., Clarke L., Conesa A., Estivill X., Fazeli A., Grgurevic N., Gut I., Heijmans B.T., Hermouet S., Houwing-Duistermaat J., Iacobucci I., Ilas J., Kandimalla R., Krauss-Etschmann S., Lasko P., Lehmann S., Lindroth A., Majdic G., Marcotte E., Martinelli G., Martinet N., Meyer E., Miceli C., Mills K., Moreno-Villanueva M., Morvan G., Nickel D., Niesler B., Nowacki M., Nowak J., Ossowski S., Pelizzola M.iit, Pochet R., Potocnik U., Radwanska M., Raes J., Rattray M., Robinson M.D., Roelen B., Sauer S., Schinzer D., Slagboom E., Spector T., Stunnenberg H.G., Tiligada E., Torres-Padilla M.-E., Tsonaka R., Soom A.V., Vidakovic M., Widschwendter M.
    DOI

    Relationship between genome and epigenome - challenges and requirements for future research

    BMC Genomics, vol. 15, (no. 1)
  • Sabo A.iit, Kress T.R.iit, Pelizzola M.iit, De Pretis S.iit, Gorski M.M., Tesi A.iit, Morelli M.J.iit, Bora P.iit, Doni M., Verrecchia A., Tonelli C., Faga G., Bianchi V.iit, Ronchi A.iit, Low D., Muller H.iit, Guccione E., Campaner S.iit, Amati B.iit
    DOI

    Selective transcriptional regulation by Myc in cellular growth control and lymphomagenesis

    Nature, vol. 511, (no. 7510), pp. 488-492
  • Looney T.J., Zhang L., Chen C.-H., Lee J.H., Chari S., Mao F.F., Pelizzola M., Zhang L., Lister R., Baker S.W., Fernandes C.J., Gaetz J., Foshay K.M., Clift K.L., Zhang Z., Li W.-Q., Vallender E.J., Wagner U., Qin J.Y., Michelini K.J., Bugarija B., Park D., Aryee E., Stricker T., Zhou J., White K.P., Ren B., Schroth G.P., Ecker J.R., Xiang A.P., Lahn B.T.
    DOI

    Systematic mapping of occluded genes by cell fusion reveals prevalence and stability of cis-mediated silencing in somatic cells

    Genome Research, vol. 24, (no. 2), pp. 267-280
  • 2013
  • Schmitz R.J., Schultz M.D., Urich M.A., Nery J.R., Pelizzola M.iit, Libiger O., Alix A., McCosh R.B., Chen H., Schork N.J., Ecker J.R.
    DOI

    Patterns of population epigenomic diversity

    Nature, vol. 495, (no. 7440), pp. 193-198
  • Chang K.N., Zhong S., Weirauch M.T., Hon G., Pelizzola M.iit, Li H., Carol Huang S-S., Schmitz R.J., Urich M.A., Kuo D., Nery J.R., Qiao H., Yang A., Jamali A., Chen H., Ideker T., Ren B., Bar-Joseph Z., Hughes T.R., Ecker J.R.
    DOI

    Temporal transcriptional response to ethylene gas drives growth hormone cross-regulation in Arabidopsis

    eLife, vol. 2013, (no. 2)
  • 2012
  • Hon G.C., Hawkins R.D., Caballero O.L., Lo C., Lister R., Pelizzola M., Valsesia A., Ye Z., Kuan S., Edsall L.E., Camargo A.A., Stevenson B.J., Ecker J.R., Bafna V., Strausberg R.L., Simpson A.J., Ren B.
    DOI

    Global DNA hypomethylation coupled to repressive chromatin domain formation and gene silencing in breast cancer

    Genome Research, vol. 22, (no. 2), pp. 246-258
  • Dowen R.H., Pelizzola M.iit, Schmitz R.J., Lister R., Dowen J.M., Nery J.R., Dixon J.E., Ecker J.R.
    DOI

    Widespread dynamic DNA methylation in response to biotic stress

    Proceedings of the National Academy of Sciences of the United States of America, vol. 109, (no. 32)
  • 2011
  • Liu Z., Hu Z., Pan X., Li M., Togun T.A., Tuck D., Pelizzola M., Huang J., Ye X., Yin Y., Liu M., Li C., Chen Z., Wang F., Zhou L., Chen L., Keefe D.L., Liu L.
    DOI

    Germline competency of parthenogenetic embryonic stem cells from immature oocytes of adult mouse ovary

    Human Molecular Genetics, vol. 20, (no. 7), pp. 1339-1352
  • Lister R., Pelizzola M., Kida Y.S., Hawkins R.D., Nery J.R., Hon G., Antosiewicz-Bourget J., Ogmalley R., Castanon R., Klugman S., Downes M., Yu R., Stewart R., Ren B., Thomson J.A., Evans R.M., Ecker J.R.
    DOI

    Hotspots of aberrant epigenomic reprogramming in human induced pluripotent stem cells

    Nature, vol. 471, (no. 7336), pp. 68-73
  • Pelizzola M., Molinaro A.
    DOI

    Methylated DNA immunoprecipitation genome-wide analysis

    Methods in molecular biology (Clifton, N.J.), vol. 791, pp. 113-123
  • Pelizzola M., Ecker J.R.
    DOI

    The DNA methylome

    FEBS Letters, vol. 585, (no. 13), pp. 1994-2000
  • 2010
  • Harris R.A., Wang T., Coarfa C., Nagarajan R.P., Hong C., Downey S.L., Johnson B.E., Fouse S.D., Delaney A., Zhao Y., Olshen A., Ballinger T., Zhou X., Forsberg K.J., Gu J., Echipare L., O'Geen H., Lister R., Pelizzola M., Xi Y., Epstein C.B., Bernstein B.E., Hawkins R.D., Ren B., Chung W.-Y., Gu H., Bock C., Gnirke A., Zhang M.Q., Haussler D., Ecker J.R., Li W., Farnham P.J., Waterland R.A., Meissner A., Marra M.A., Hirst M., Milosavljevic A., Costello J.F.
    DOI

    Comparison of sequencing-based methods to profile DNA methylation and identification of monoallelic epigenetic modifications

    Nature Biotechnology, vol. 28, (no. 10), pp. 1097-1105
  • Hawkins R.D., Hon G.C., Lee L.K., Ngo Q., Lister R., Pelizzola M., Edsall L.E., Kuan S., Luu Y., Klugman S., Antosiewicz-Bourget J., Ye Z., Espinoza C., Agarwahl S., Shen L., Ruotti V., Wang W., Stewart R., Thomson J.A., Ecker J.R., Ren B.
    DOI

    Distinct epigenomic landscapes of pluripotent and lineage-committed human cells

    Cell Stem Cell, vol. 6, (no. 5), pp. 479-491
  • Sirri A., Bianchi V., Pelizzola M., Mayhaus M., Ricciardi-Castagnoli P., Toniolo D., D'Adamo P.
    DOI

    Temporal gene expression profile of the hippocampus following trace fear conditioning

    Brain Research, vol. 1308, pp. 14-23
  • 2009
  • Koga Y., Pelizzola M., Cheng E., Krauthammer M., Sznol M., Ariyan S., Narayan D., Molinaro A.M., Halaban R., Weissman S.M.
    DOI

    Genome-wide screen of promoter methylation identifies novel markers in melanoma

    Genome Research, vol. 19, (no. 8), pp. 1462-1470
  • Lister R., Pelizzola M., Dowen R.H., Hawkins R.D., Hon G., Tonti-Filippini J., Nery J.R., Lee L., Ye Z., Ngo Q.-M., Edsall L., Antosiewicz-Bourget J., Stewart R., Ruotti V., Millar A.H., Thomson J.A., Ren B., Ecker J.R.
    DOI

    Human DNA methylomes at base resolution show widespread epigenomic differences

    Nature, vol. 462, (no. 7271), pp. 315-322
  • Halaban R., Krauthammer M., Pelizzola M., Cheng E., Kovacs D., Sznol M., Ariyan S., Narayan D., Bacchiocchi A., Molinaro A., Kluger Y., Deng M., Tran N., Zhang W., Picardo M., Enghild J.J.
    DOI

    Integrative analysis of epigenetic modulation in melanoma cell response to decitabine: Clinical implications

    PLoS ONE, vol. 4, (no. 2)
  • 2008
  • Foti M., Granucci F., Pelizzola M., Pavelka N., Beretta O., Vizzardelli C., Urbano M., Zanoni I., Capuano G., Mingozzi F., Trottein F., Aebischer T., Ricciardi-Castagnoli P.
    DOI

    Gene Profiling of Dendritic cells during Host-Pathogen Interactions

    Handbook of Dendritic Cells, vol. 1, pp. 175-197, Publisher: Wiley-VCH Verlag GmbH
  • Pelizzola M., Koga Y., Urban A.E., Krauthammer M., Weissman S., Halaban R., Molinaro A.M.
    DOI

    MEDME: An experimental and analytical methodology for the estimation of DNA methylation levels based on microarray derived MeDIP-enrichment

    Genome Research, vol. 18, (no. 10), pp. 1652-1659
  • Tailleux L., Waddel S.J., Pelizzola M., Mortellaro A., Withers M., Tanne A., Castagnoli P.R., Gicquel B., Stoker N.G., Butcher P.D., Foti M., Neyrolles O.
    DOI

    Probing host pathogen cross-talk by transcriptional profiling of both Mycobacterium tuberculosis and infected human dendritic cells and macrophages

    PLoS ONE, vol. 3, (no. 1)
  • Pavelka N., Fournier M.L., Swanson S.K., Pelizzola M., Ricciardi-Castagnoli P., Florens L., Washburn M.P.
    DOI

    Statistical similarities between transcriptomics and quantitative shotgun proteomics data

    Molecular and Cellular Proteomics, vol. 7, (no. 4), pp. 631-644
  • 2007
  • Splendiani A., Brandizi M., Even G., Beretta O., Pavelka N., Pelizzola M., Mayhaus M., Foti M., Mauri G., Ricciardi-Castagnoli P.
    DOI

    The Genopolis Microarray Database

    BMC Bioinformatics, vol. 8, (no. SUPPL. 1)
  • 2006
  • Pelizzola M., Pavelka N., Foti M., Ricciardi-Castagnoli P.
    DOI

    AMDA: An R package for the automated microarray data analysis

    BMC Bioinformatics, vol. 7
  • Foti M., Granucci F., Pelizzola M., Beretta O., Ricciardi-Castagnoli P.
    DOI

    Dendritic cells in pathogen recognition and induction of immune responses: A functional genomics approach

    Journal of Leukocyte Biology, vol. 79, (no. 5), pp. 913-916
  • Vizzardelli C., Pavelka N., Luchini A., Zanoni I., Bendickson L., Pelizzola M., Beretta O., Foti M., Granucci F., Nilsen-Hamilton M., Ricciardi-Castagnoli P.
    DOI

    Effects of dexamethazone on LPS-induced activation and migration of mouse dendritic cells revealed by a genome-wide transcriptional analysis

    European Journal of Immunology, vol. 36, (no. 6), pp. 1504-1515
  • Foti M., Granucci F., Pelizzola M., Pavelka N., Beretta O., Vizzardelli C., Urbano M., Zanoni I., Capuano G., Mingozzi F., Ricciardi-Castagnoli P.
    DOI

    Transcriptional Profiling of Dendritic Cells in Response to Pathogens

    Immunogenomics and Human Disease, pp. 461-486, Publisher: John Wiley & Sons, Ltd
  • 2005
  • Aebischer T., Bennett C.L., Pelizzola M., Vizzardelli C., Pavelka N., Urbano M., Capozzoli M., Luchini A., Ilg T., Granucci F., Blackburn C.C., Ricciardi-Castagnoli P.
    DOI

    A critical role for lipophosphoglycan in proinflammatory responses of dendritic cells to Leishmania mexicana

    European Journal of Immunology, vol. 35, (no. 2), pp. 476-486
  • 2004
  • Pavelka N., Pelizzola M., Vizzardelli C., Capozzoli M., Splendiani A., Granucci F., Ricciardi-Castagnoli P.
    DOI

    A power law global error model for the identification of differentially expressed genes in microarray data

    BMC Bioinformatics, vol. 5
  • Trottein F., Pavelka N., Vizzardelli C., Angeli V., Zouain C.S., Pelizzola M., Capozzoli M., Urbano M., Capron M., Belardelli F., Granucci F., Ricciardi-Castagnoli P.
    DOI

    A Type I IFN-Dependent Pathway Induced by Schistosoma mansoni Eggs in Mouse Myeloid Dendritic Cells Generates an Inflammatory Signature

    Journal of Immunology, vol. 172, (no. 5), pp. 3011-3017