2022
Comprehensive Analysis of Metabolic Isozyme Targets in Cancer
Marczyk M, Gunasekharan V, Casadevall D, Qing T, Foldi J, Sehgal R, Shan NL, Blenman KRM, O'Meara TA, Umlauf S, Surovtseva YV, Muthusamy V, Rinehart J, Perry RJ, Kibbey R, Hatzis C, Pusztai L. Comprehensive Analysis of Metabolic Isozyme Targets in Cancer. Cancer Research 2022, 82: 1698-1711. PMID: 35247885, PMCID: PMC10883296, DOI: 10.1158/0008-5472.can-21-3983.Peer-Reviewed Original ResearchConceptsPotential therapeutic targetAcetyl-CoA carboxylase 1Therapeutic targetCancer typesCell linesBreast cancer viabilityPatient-derived xenograftsNovel metabolic targetsCorresponding cell linesExpression patternsDrug treatmentMatching normal tissuesRelated commentaryTumor growthMalignant transformationSmall molecule inhibitionCancer viabilityCancer Cell Line EncyclopediaNormal tissuesMetabolic vulnerabilitiesCarboxylase 1Anticancer therapyCellular changesCell proliferationMetabolic reprogramming
2014
Stress‐Related Alcohol Consumption in Heavy Drinkers Correlates with Expression of miR‐10a, miR‐21, and Components of the TAR‐RNA‐Binding Protein‐Associated Complex
Beech RD, Leffert JJ, Lin A, Hong KA, Hansen J, Umlauf S, Mane S, Zhao H, Sinha R. Stress‐Related Alcohol Consumption in Heavy Drinkers Correlates with Expression of miR‐10a, miR‐21, and Components of the TAR‐RNA‐Binding Protein‐Associated Complex. Alcohol Clinical And Experimental Research 2014, 38: 2743-2753. PMID: 25421511, PMCID: PMC4244644, DOI: 10.1111/acer.12549.Peer-Reviewed Original ResearchConceptsMiR-21Psychological stressMD subjectsAcute psychological stressReal-time polymerase chain reactionQuantitative real-time polymerase chain reactionGene expressionAlcohol intakeHD groupPeripheral bloodStress-related drinkingPolymerase chain reactionStimulus presentationModerate drinkersMD groupAlcohol-related cuesDrinking subjectsStress-induced drinkingAlcohol consumptionHeavy drinkersAlcohol dependenceAmount of beerMicroRNA-10aChain reactionMicroRNA-21
2013
Gene-expression differences in peripheral blood between lithium responders and non-responders in the Lithium Treatment-Moderate dose Use Study (LiTMUS)
Beech RD, Leffert JJ, Lin A, Sylvia LG, Umlauf S, Mane S, Zhao H, Bowden C, Calabrese JR, Friedman ES, Ketter TA, Iosifescu DV, Reilly-Harrington NA, Ostacher M, Thase ME, Nierenberg A. Gene-expression differences in peripheral blood between lithium responders and non-responders in the Lithium Treatment-Moderate dose Use Study (LiTMUS). The Pharmacogenomics Journal 2013, 14: 182-191. PMID: 23670706, DOI: 10.1038/tpj.2013.16.Peer-Reviewed Original ResearchConceptsPeripheral bloodTreatment responseLithium Treatment Moderate-Dose Use StudyLi respondersClinical responseTreatment initiationTreatment respondersMood symptomsLithium respondersEarly markerBipolar disorderRespondersBloodPatientsGene expression differencesSpecific roleSubjectsResponseBiochemical levelSymptomsDifferencesMonths
2012
Altered Expression of Cytokine Signaling Pathway Genes in Peripheral Blood Cells of Alcohol Dependent Subjects: Preliminary Findings
Beech RD, Qu J, Leffert JJ, Lin A, Hong KA, Hansen J, Umlauf S, Mane S, Zhao H, Sinha R. Altered Expression of Cytokine Signaling Pathway Genes in Peripheral Blood Cells of Alcohol Dependent Subjects: Preliminary Findings. Alcohol Clinical And Experimental Research 2012, 36: 1487-1496. PMID: 22471388, PMCID: PMC3393821, DOI: 10.1111/j.1530-0277.2012.01775.x.Peer-Reviewed Original ResearchMeSH KeywordsAdultAlcohol DrinkingAlcoholismBlood CellsCytokinesDemographyDiagnostic and Statistical Manual of Mental DisordersEthnicityFemaleGene ExpressionGene Expression ProfilingHumansInterleukin-15InterleukinsJanus KinasesMaleMicroarray AnalysisMiddle AgedRecurrenceSignal TransductionSTAT Transcription FactorsYoung AdultConceptsGroups of subjectsMD subjectsAlcohol dependenceGeneGo MetaCore softwareEnd-organ damageChronic alcohol abusePeripheral blood cellsInnate immune responseAlcohol-dependent subjectsHeavy alcohol useT cell receptorPeripheral bloodClinical studiesImmune responseJanus kinase-signal transducerHigh riskImmune functionModerate drinkersHD subjectsAlcohol abuseAlcohol consumptionHeavy drinkersKinase-signal transducerDependent subjectsSignaling Pathway Genes
2011
Spatio-temporal transcriptome of the human brain
Kang HJ, Kawasawa YI, Cheng F, Zhu Y, Xu X, Li M, Sousa AM, Pletikos M, Meyer KA, Sedmak G, Guennel T, Shin Y, Johnson MB, Krsnik Ž, Mayer S, Fertuzinhos S, Umlauf S, Lisgo SN, Vortmeyer A, Weinberger DR, Mane S, Hyde TM, Huttner A, Reimers M, Kleinman JE, Šestan N. Spatio-temporal transcriptome of the human brain. Nature 2011, 478: 483-489. PMID: 22031440, PMCID: PMC3566780, DOI: 10.1038/nature10523.Peer-Reviewed Original ResearchCharacterization of the DNA Copy-Number Genome in the Blood of Cutaneous T-Cell Lymphoma Patients
Lin WM, Lewis JM, Filler RB, Modi BG, Carlson KR, Reddy S, Thornberg A, Saksena G, Umlauf S, Oberholzer PA, Karpova M, Getz G, Mane S, Garraway LA, Dummer R, Berger CL, Edelson RL, Girardi M. Characterization of the DNA Copy-Number Genome in the Blood of Cutaneous T-Cell Lymphoma Patients. Journal Of Investigative Dermatology 2011, 132: 188-197. PMID: 21881587, PMCID: PMC3841973, DOI: 10.1038/jid.2011.254.Peer-Reviewed Original ResearchConceptsCutaneous T-cell lymphomaBlood involvementLeukemic cutaneous T-cell lymphomaCutaneous T-cell lymphoma patientsT-cell lymphoma patientsNormal CD4 countPeripheral blood isolatesT-cell lymphomaCTCL cell linesPotential future therapeutic developmentsT-cell malignanciesFuture therapeutic developmentSignificant copy number alterationsCD4 countSpectrum of stagesCTCL patientsSézary syndromeLymph nodesLymphoma patientsHodgkin's lymphomaPeripheral bloodBlood isolatesCutaneous patchCTCL samplesPatientsGenome-wide association study identifies susceptibility loci for IgA nephropathy
Gharavi AG, Kiryluk K, Choi M, Li Y, Hou P, Xie J, Sanna-Cherchi S, Men CJ, Julian BA, Wyatt RJ, Novak J, He JC, Wang H, Lv J, Zhu L, Wang W, Wang Z, Yasuno K, Gunel M, Mane S, Umlauf S, Tikhonova I, Beerman I, Savoldi S, Magistroni R, Ghiggeri GM, Bodria M, Lugani F, Ravani P, Ponticelli C, Allegri L, Boscutti G, Frasca G, Amore A, Peruzzi L, Coppo R, Izzi C, Viola BF, Prati E, Salvadori M, Mignani R, Gesualdo L, Bertinetto F, Mesiano P, Amoroso A, Scolari F, Chen N, Zhang H, Lifton RP. Genome-wide association study identifies susceptibility loci for IgA nephropathy. Nature Genetics 2011, 43: 321-327. PMID: 21399633, PMCID: PMC3412515, DOI: 10.1038/ng.787.Peer-Reviewed Original ResearchMeSH KeywordsAdultAllelesAsian PeopleBlood ProteinsCase-Control StudiesChromosomes, Human, Pair 1Chromosomes, Human, Pair 22Cohort StudiesComplement C3b Inactivator ProteinsFemaleGenetic Predisposition to DiseaseGenome-Wide Association StudyGlomerulonephritis, IGAHLA AntigensHumansMajor Histocompatibility ComplexMalePolymorphism, Single NucleotideRisk FactorsSelection, GeneticWhite PeopleYoung Adult
2010
Increased peripheral blood expression of electron transport chain genes in bipolar depression
Beech RD, Lowthert L, Leffert JJ, Mason PN, Taylor MM, Umlauf S, Lin A, Lee JY, Maloney K, Muralidharan A, Lorberg B, Zhao H, Newton SS, Mane S, Epperson CN, Sinha R, Blumberg H, Bhagwagar Z. Increased peripheral blood expression of electron transport chain genes in bipolar depression. Bipolar Disorders 2010, 12: 813-824. PMID: 21176028, PMCID: PMC3076072, DOI: 10.1111/j.1399-5618.2010.00882.x.Peer-Reviewed Original ResearchConceptsBipolar disorderBipolar depressionPeripheral bloodDepressed subjectsGeneGo MetaCore softwarePeripheral blood expressionHealthy control subjectsReal-time reverse transcription-polymerase chain reactionEffects of medicationReverse transcription-polymerase chain reactionQuantitative real-time reverse transcription-polymerase chain reactionTranscription-polymerase chain reactionMitochondrial electron transport chainControl subjectsPolymerase chain reactionUnmedicated subjectsHealthy controlsBlood expressionBPD subjectsSpecific genetic pathwaysElectron transport chain genesMetaCore softwareA totalAltered expressionQRT-PCR