2017
MiRIAD update: using alternative polyadenylation, protein interaction network analysis and additional species to enhance exploration of the role of intragenic miRNAs and their host genes
Hinske L, dos Santos F, Ohara D, Ohno-Machado L, Kreth S, Galante P. MiRIAD update: using alternative polyadenylation, protein interaction network analysis and additional species to enhance exploration of the role of intragenic miRNAs and their host genes. Database 2017, 2017: bax053. PMID: 29220447, PMCID: PMC5569676, DOI: 10.1093/database/bax053.Peer-Reviewed Original Research
2015
Alternative Polyadenylation Allows Differential Negative Feedback of Human miRNA miR-579 on Its Host Gene ZFR
Hinske L, Galante P, Limbeck E, Möhnle P, Parmigiani R, Ohno-Machado L, Camargo A, Kreth S. Alternative Polyadenylation Allows Differential Negative Feedback of Human miRNA miR-579 on Its Host Gene ZFR. PLOS ONE 2015, 10: e0121507. PMID: 25799583, PMCID: PMC4370670, DOI: 10.1371/journal.pone.0121507.Peer-Reviewed Original ResearchConceptsHost genesAlternative polyadenylationIntronic miRNAsMiR-579Protein-coding host genesPotential miRNA binding sitesHost gene expressionMiRNA binding sitesIntronic miRNAMiRNA genesNegative feedback loopRNA-seqPolyadenylation signalPolyadenylation sitesBioinformatics analysisCell line modelsGene expressionSilico analysisDifferential targetingPolyadenylationGenesMiRNAsZFRBinding sitesNegative feedback
2014
miRIAD—integrating microRNA inter- and intragenic data
Hinske L, França G, Torres H, Ohara D, Lopes-Ramos C, Heyn J, Reis L, Ohno-Machado L, Kreth S, Galante P. miRIAD—integrating microRNA inter- and intragenic data. Database 2014, 2014: bau099. PMID: 25288656, PMCID: PMC4186326, DOI: 10.1093/database/bau099.Peer-Reviewed Original ResearchConceptsProtein-coding genesIntragenic miRNAsHost genesGene expressionProtein-protein interaction dataSmall non-coding RNAsHost gene functionHost gene expressionMiRNA binding sitesNon-coding RNAsMajority of miRNAsGene functionGenomic contextFunctional annotationFunctional network analysisTarget mRNAsExpression correlationExonic regionsGenesMiRNAsDifferent tissuesInteraction dataBinding sitesGenomic classificationSilico validation
2012
SurfaceomeDB: a cancer-orientated database for genes encoding cell surface proteins.
de Souza J, Galante P, de Almeida R, da Cunha J, Ohara D, Ohno-Machado L, Old L, de Souza S. SurfaceomeDB: a cancer-orientated database for genes encoding cell surface proteins. Cancer Immunology Research 2012, 12: 15. PMID: 23390370, PMCID: PMC3554024.Peer-Reviewed Original ResearchConceptsCell surface proteinsSurface proteinsProtein-protein interactionsUCSC Genome BrowserImportant data repositoryUser-friendly web interfaceGene annotationProtein domainsGenome browserHuman genesGene expressionGene namesGenesSomatic mutationsProteinExcellent targetAnnotationTherapeutic reagentsWeb interfaceNCBIMutationsExpressionDomainTargetSetting Up an Intronic miRNA Database
Hinske L, Heyn J, Galante P, Ohno-Machado L, Kreth S. Setting Up an Intronic miRNA Database. Methods In Molecular Biology 2012, 936: 69-76. PMID: 23007499, DOI: 10.1007/978-1-62703-083-0_5.Peer-Reviewed Original ResearchConceptsAvailable information resourcesWeb-based toolInformation resourcesGenome-wide analysisHost gene transcriptionAnalysis techniquesIntergenic miRNAsIntragenic microRNAsWide analysisUseful analysis techniqueHost genesMiRNA databaseGene transcriptionMiRNA dataDifferent analysis techniquesMiRNAsSignificant attentionTranscriptionDatabaseMore informationRecent pastBasic structureTechniqueUnique linkageGenes
2011
A Primer on the Current State of Microarray Technologies
Trachtenberg A, Robert J, Abdalla A, Fraser A, He S, Lacy J, Rivas-Morello C, Truong A, Hardiman G, Ohno-Machado L, Liu F, Hovig E, Kuo W. A Primer on the Current State of Microarray Technologies. Methods In Molecular Biology 2011, 802: 3-17. PMID: 22130870, DOI: 10.1007/978-1-61779-400-1_1.Peer-Reviewed Reviews, Practice Guidelines, Standards, and Consensus StatementsConceptsMicroarray technologyGenome-wide gene expression studiesAvailability of microarraysVariety of genesThousands of genesDNA microarray technologyDisease-specific genesGene expression studiesGene discoveryMolecular functioningExpression studiesGene expressionMolecular geneticsGenesComputer science analysisMicroarrayComplicated networkDisease statesDrug developmentNormal functioningMassive levelsDisease diagnosisGeneticsField of microarraysHigh levelsDistinct patterns of somatic alterations in a lymphoblastoid and a tumor genome derived from the same individual
Galante P, Parmigiani R, Zhao Q, Caballero O, de Souza J, Navarro F, Gerber A, Nicolás M, Salim A, Silva A, Edsall L, Devalle S, Almeida L, Ye Z, Kuan S, Pinheiro D, Tojal I, Pedigoni R, de Sousa R, Oliveira T, de Paula M, Ohno-Machado L, Kirkness E, Levy S, da Silva W, Vasconcelos A, Ren B, Zago M, Strausberg R, Simpson A, de Souza S, Camargo A. Distinct patterns of somatic alterations in a lymphoblastoid and a tumor genome derived from the same individual. Nucleic Acids Research 2011, 39: 6056-6068. PMID: 21493686, PMCID: PMC3152357, DOI: 10.1093/nar/gkr221.Peer-Reviewed Original ResearchConceptsTumor genomesSomatic alterationsProtein-protein interaction analysisSynonymous substitutionsKEGG analysisEndogenous mutagensGenomeTumorigenic transformationNucleotide substitutionsBreast tumor cell linesReplication errorsTumor cell linesGenetic alterationsFrequency of mutationsCell linesTumorigenesisMutationsSynergistic functionDistinct patternsInteraction analysisLymphoblastoidAlterationsGenesSame individualPathway
2007
Automatic correspondence of tags and genes (ACTG): a tool for the analysis of SAGE, MPSS and SBS data
Galante P, Trimarchi J, Cepko C, de Souza S, Ohno-Machado L, Kuo W. Automatic correspondence of tags and genes (ACTG): a tool for the analysis of SAGE, MPSS and SBS data. Bioinformatics 2007, 23: 903-905. PMID: 17277333, DOI: 10.1093/bioinformatics/btm023.Peer-Reviewed Original Research
2004
Deciphering gene expression profiles generated from DNA microarrays and their applications in oral medicine
Kuo W, Whipple M, Epstein J, Jenssen T, Santos G, Ohno-Machado L, Sonis S. Deciphering gene expression profiles generated from DNA microarrays and their applications in oral medicine. Oral Surgery Oral Medicine Oral Pathology And Oral Radiology 2004, 97: 584-591. PMID: 15153870, DOI: 10.1016/j.tripleo.2003.11.016.Peer-Reviewed Reviews, Practice Guidelines, Standards, and Consensus StatementsConceptsGene expression profilesTranscriptional mappingDNA microarraysExpression profilesGenome-wide monitoringThousands of genesApplication of microarraysTypical microarray experimentTranscription levelsBiological processesGenetic changesMicroarray technologyMicroarray experimentsDiseased cellsMicroarrayRelative expressionDisease etiologyNew therapeutic toolsWidespread hopeCellsGenesNew biomarkersTherapeutic toolExpressionDiscovery
2003
Microarrays and clinical dentistry
Kuo W, Whipple M, Jenssen T, Todd R, Epstein J, Ohno-Machado L, Sonis S, Park P. Microarrays and clinical dentistry. The Journal Of The American Dental Association 2003, 134: 456-462. PMID: 12733779, DOI: 10.14219/jada.archive.2003.0195.Peer-Reviewed Reviews, Practice Guidelines, Standards, and Consensus StatementsConceptsAdvanced microarray technologiesEntire human genomeActivity of genesGene expression patternsHuman Genome ProjectGenome levelHuman genomeGenetic approachesCellular developmentDNA sequencesGenome ProjectExciting biologyCandidate genesExpression patternsMicroarray technologyMicroarrayNumber of cancersGenesMolecular profileAnalysis of diseasesMolecular behaviorGenomeBiologyTissue samplesProteinClassification and identification of genes associated with oral cancer based on gene expression profiles. A preliminary study.
Kuo W, Hasina R, Ohno-Machado L, Lingen M. Classification and identification of genes associated with oral cancer based on gene expression profiles. A preliminary study. Dental Journal 2003, 69: 23-6. PMID: 12703240.Peer-Reviewed Original ResearchConceptsGene expression profilesHuman Genome ProjectOral squamous cell carcinomaExpression profilesIdentification of genesGenome ProjectDNA microarraysMolecular networksFive-year survival rateSquamous cell carcinomaCurrent treatment strategiesGenesAggressive malignancyCell carcinomaOral cancerPreliminary studyTreatment strategiesCytologic changesEarly diagnosisSurvival rateCancerMicroarrayStatistical algorithmsCarcinomaMalignancy
2002
Gene expression profiling by DNA microarrays and its application to dental research
Kuo W, Whipple M, Sonis S, Ohno-Machado L, Jenssen T. Gene expression profiling by DNA microarrays and its application to dental research. Oral Oncology 2002, 38: 650-656. PMID: 12353490, DOI: 10.1016/s1368-8375(02)00013-1.Peer-Reviewed Reviews, Practice Guidelines, Standards, and Consensus StatementsConceptsGenome-wide gene expression studiesMicroarray technologyThousands of genesVariety of genesDNA microarray technologyGene expression studiesDisease-specific genesGene expression profilingGenetic profileGene discoveryMolecular functioningSpecific genesExpression profilingDNA microarraysExpression studiesMolecular geneticsIncorporation of DNAGenesIndividual patient's genetic profileDNAComplicated networkDisease statesDrug developmentNormal functioningMRNA expressionGene expression levels in different stages of progression in oral squamous cell carcinoma.
Kuo W, Jenssen T, Park P, Lingen M, Hasina R, Ohno-Machado L. Gene expression levels in different stages of progression in oral squamous cell carcinoma. AMIA Annual Symposium Proceedings 2002, 415-9. PMID: 12474876, PMCID: PMC2244435.Peer-Reviewed Original ResearchConceptsOral squamous cell carcinomaExpression levelsGene expression studiesGene expression dataGene expression levelsChromosome domainsCancer samplesExpression studiesSquamous cell carcinomaMolecular mechanismsExpression dataGenesMolecular levelProgression of OSCCCell carcinomaGenetic featuresCancer typesCommon cancer typesImportant insightsSignificant differencesSmall panelPatient samplesDifferent stagesProgressionSample types