2023
The C. elegans anchor cell transcriptome: ribosome biogenesis drives cell invasion through basement membrane
Costa D, Kenny-Ganzert I, Chi Q, Park K, Kelley L, Garde A, Matus D, Park J, Yogev S, Goldstein B, Gibney T, Pani A, Sherwood D. The C. elegans anchor cell transcriptome: ribosome biogenesis drives cell invasion through basement membrane. Development 2023, 150 PMID: 37039075, PMCID: PMC10259517, DOI: 10.1242/dev.201570.Peer-Reviewed Original ResearchConceptsRibosome biogenesisCell invasionAnchor cell invasionTranslation of proteinsFocused RNAi screenGene expression profilesAC invasionRibosome productionRNAi screenEndomembrane systemBM transmigrationRibosomal proteinsSec61 transloconCell transcriptomeBasement membrane barriersGene enrichmentExpression profilesTumor proteinTranscriptomeER stressCancer progressionInvasion regulatorsMembrane barrierProteinBiogenesis
2018
GWAS and network analysis of co‐occurring nicotine and alcohol dependence identifies significantly associated alleles and network
Xiang B, Yang B, Zhou H, Kranzler H, Gelernter J. GWAS and network analysis of co‐occurring nicotine and alcohol dependence identifies significantly associated alleles and network. American Journal Of Medical Genetics Part B Neuropsychiatric Genetics 2018, 180: 3-11. PMID: 30488612, PMCID: PMC6918694, DOI: 10.1002/ajmg.b.32692.Peer-Reviewed Original ResearchMeSH KeywordsAdultAlcoholismAllelesBlack or African AmericanComorbidityEthanolFemaleG(M2) Activator ProteinGene FrequencyGene Regulatory NetworksGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansMaleMiddle AgedNicotinePolymorphism, Single NucleotideProtein Interaction MapsRisk FactorsTobacco Use DisorderWhite PeopleConceptsGene subnetworksProtein-protein interaction (PPI) network analysisGenome-wide significant variantsInteraction network analysisGene-set analysisFunctional enrichment analysisSignificant SNPsQuantitative lociNerve growth factor pathwayGene enrichmentEnrichment analysisNetwork analysisGenetic traitsGrowth factor pathwaysRisk genesSignificant variantsGenesStudy of AddictionSNPsFactor pathwayGM2AAmphetamine addictionGenetic riskGWASSubnetworks
2015
Genomic Analysis Reveals That Immune Function Genes Are Strongly Linked to Clinical Outcome in the North Central Cancer Treatment Group N9831 Adjuvant Trastuzumab Trial
Perez EA, Thompson EA, Ballman KV, Anderson SK, Asmann YW, Kalari KR, Eckel-Passow JE, Dueck AC, Tenner KS, Jen J, Fan JB, Geiger XJ, McCullough AE, Chen B, Jenkins RB, Sledge GW, Winer EP, Gralow JR, Reinholz MM. Genomic Analysis Reveals That Immune Function Genes Are Strongly Linked to Clinical Outcome in the North Central Cancer Treatment Group N9831 Adjuvant Trastuzumab Trial. Journal Of Clinical Oncology 2015, 33: 701-708. PMID: 25605861, PMCID: PMC4334774, DOI: 10.1200/jco.2014.57.6298.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedAntibodies, Monoclonal, HumanizedAntineoplastic Combined Chemotherapy ProtocolsBiomarkers, TumorBreast NeoplasmsChemotherapy, AdjuvantDisease-Free SurvivalDNA, NeoplasmFemaleGene Expression Regulation, NeoplasticGenomicsHumansKaplan-Meier EstimateMiddle AgedMolecular Targeted TherapyProportional Hazards ModelsReceptor, ErbB-2TranscriptomeTrastuzumabConceptsRelapse-free survivalImmune function genesAdjuvant trastuzumab trialsArm BTrastuzumab trialsHazard ratioArm AHuman epidermal growth factor receptorClinicopathologic risk factorsProportional hazard ratiosEpidermal growth factor receptorGrowth factor receptorAdjuvant trastuzumabC patientsCombination chemotherapyClinical outcomesRisk factorsBreast cancerPatientsTrastuzumabPredictive signatureFunction genesChemotherapyGene enrichmentFactor receptor
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